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. 2026 Nov 4;15:1482. Originally published 2026 Sep 3. [Version 2] doi: 10.12688/f1000research.187953.2

From Needs Assessment to Instructional Design: Empirical Requirements for a DIF-PBL Model in Inclusive Numeracy Learning

Mentari Rama Putri 1,a, Arismunandar Arismunandar 2, Syafruddin Side 3, Erma Suryani Sahabuddin 4, Ahmad Swandi 5
PMCID: PMC13740461  PMID: 42999041

Version Changes

Revised. Amendments from Version 1

This revised version incorporates substantial changes in response to the peer-review comments. The Introduction has been revised to clarify the research gap, study scope, and positioning of the needs assessment as the initial phase of a broader Research and Development project. The research design and methods have been clarified, including the description of the 13-item teacher needs-assessment questionnaire, its expert review by three experts, and content validation using Aiken’s V. The Results section has been revised to report item-level descriptive statistics, including means, standard deviations, and actual response frequencies, replacing the previously used transformed percentage presentation. The interpretation of Item 8 has also been corrected to reflect teachers’ reported difficulty in implementing differentiated instruction. In addition, the manuscript now provides a traceability framework linking empirical findings, evidence sources, instructional requirements, and preliminary DIF-PBL design implications. Claims regarding the instructional components of DIF-PBL have been refined to distinguish empirical findings from preliminary design implications, and the limitations concerning sample size, questionnaire characteristics, and the illustrative nature of the student observations have been clarified.

Abstract

Inclusive elementary classrooms require instructional approaches that accommodate substantial variation in students’ numeracy readiness, learning characteristics, and support needs. This study examined teachers’ instructional needs and preliminary learner differences as an empirical basis for designing a Differentiation-Based Problem-Based Learning (DIF-PBL) model for inclusive numeracy learning. The study was conducted as a descriptive needs assessment within a broader research and development project. Participants included 20 classroom teachers and special education support teachers from three inclusive elementary schools in Bone Regency, South Sulawesi, Indonesia. Data were collected using a 13-item four-point Likert questionnaire and structured observations of three students representing different learner profiles. Questionnaire data were analyzed using item-level means, standard deviations, and response frequencies, while student observations were treated as illustrative contextual cases. Teachers reported substantial instructional challenges, including disparities in numeracy achievement, difficulty balancing instructional support, limitations in conventional Problem-Based Learning, and practical difficulties in implementing differentiated instruction. The strongest responses concerned the need for an integrated PBL and differentiation model (M = 3.95, SD = 0.22), an operational teacher guide (M = 4.00, SD = 0.00), and the urgency of developing the DIF-PBL model (M = 4.00, SD = 0.00). The findings support several design requirements, including differentiated learning pathways, flexible PBL procedures, Concrete–Pictorial–Abstract learning progression, systematic scaffolding, adaptive assessment, and practical teacher guidance. The findings provide an empirical starting point for subsequent prototype development and validation rather than evidence of model effectiveness.

Keywords: inclusive education; numeracy learning; problem-based learning; differentiated instruction; needs assessment; instructional design.

1. Introduction

Numeracy has become one of the most essential competencies required for individuals to successfully participate in twenty-first-century society ( Rosnelli & Ristiana, 2023). Beyond the ability to perform arithmetic operations, numeracy encompasses the capacity to interpret quantitative information, apply mathematical reasoning, solve contextual problems, and make evidence-based decisions in everyday life ( Geiger & Schmid, 2024). These competencies are increasingly important in an era characterized by rapid technological advancement, data-driven decision-making, and complex societal challenges. Consequently, numeracy is now recognized as a fundamental component of educational quality and a key determinant of students’ future academic achievement, employability, and lifelong learning.

The growing importance of numeracy has been consistently emphasized through international educational assessments. The Programme for International Student Assessment (PISA) defines mathematical literacy as an individual’s ability to formulate, employ, and interpret mathematics in various real-world contexts. Rather than merely measuring procedural calculation, PISA evaluates students’ capacity to reason mathematically, model authentic situations, and solve unfamiliar problems ( OECD, 2022). Despite continuous educational reforms, Indonesian students continue to demonstrate relatively low levels of mathematical literacy ( OECD, 2022). The 2022 PISA results showed that Indonesia’s mathematics performance remained substantially below the OECD average, indicating that many students still struggle to transfer mathematical concepts into meaningful real-life applications. Similar concerns are reflected in the Indonesian Minimum Competency Assessment (Asesmen Kompetensi Minimum/AKM), which identifies numeracy as one of the two core competencies expected of all learners ( Kemendikbudristek, 2021). National education reports consistently indicate that a considerable proportion of elementary school students have not yet achieved the expected level of numeracy proficiency, highlighting the urgent need for instructional innovations capable of improving meaningful mathematical understanding ( Yeh et al., 2019).

These challenges become considerably more complex within inclusive elementary schools. Inclusive education requires students with diverse academic abilities, learning characteristics, and developmental needs to learn together within the same classroom environment ( Moriña, 2017; Shaeffer, 2019). In a typical inclusive classroom, teachers simultaneously accommodate regular students, fast learners, slow learners, and students with special educational needs, each possessing distinct cognitive readiness, learning profiles, communication abilities, and support requirements ( De leon et al., 2024; Jardinez & Natividad, 2024). Such heterogeneity creates substantial instructional challenges because teachers must ensure equitable learning opportunities while maintaining curriculum standards for all students ( Lotan, 2006). Consequently, instructional decisions can no longer rely on uniform teaching strategies designed for an “average” learner but must instead accommodate substantial variations in students’ readiness and learning needs.

Numeracy instruction presents particularly significant difficulties in inclusive classrooms because mathematical concepts often progress from concrete experiences toward increasingly abstract representations ( Abdulah et al., 2025; Nair et al., 2024). Students with special educational needs frequently require extended scaffolding, repeated learning experiences, concrete instructional media, and individualized guidance before they are able to understand symbolic mathematical representations ( Evains et al., 2024; Mutodi & Mosimege, 2021; Van Garderen et al., 2018). In contrast, regular students and fast learners generally progress more rapidly through instructional activities. This discrepancy often creates instructional dilemmas in which teachers struggle to divide their attention effectively across students with markedly different learning characteristics ( Goyibova et al., 2025; Smets et al., 2022). As a result, students with special educational needs may experience mathematics anxiety, reduced classroom participation, and persistent learning difficulties, whereas higher-achieving students dominate classroom discussions and collaborative activities. Such conditions frequently widen the achievement gap rather than promoting equitable learning outcomes.

Problem-Based Learning (PBL) has long been recognized as one of the most effective student-centered instructional models for developing higher-order thinking skills, problem-solving ability, collaboration, and conceptual understanding ( Astawan et al., 2025; Suryawati et al., 2020). Through authentic contextual problems, students actively construct knowledge while engaging in inquiry, discussion, and collaborative investigation ( Chin & Chia, 2004; Martawijaya et al., 2023). Numerous studies have demonstrated the positive contribution of PBL to mathematics learning and numeracy development ( Ssali et al., 2025; Suparman et al., 2021). Consequently, PBL has been widely recommended as an instructional approach capable of fostering meaningful learning experiences that extend beyond procedural knowledge.

However, implementing conventional PBL within inclusive classrooms remains challenging. The characteristics that make PBL effective in general classrooms may also create barriers for students with diverse learning needs. Complex problem scenarios often impose high cognitive demands that exceed the learning readiness of slow learners and students with special educational needs. Open-ended investigations frequently require students to independently regulate learning processes, interpret lengthy contextual information, and participate actively in collaborative discussions ( Emara et al., 2021; Kinnebrew et al., 2017). In heterogeneous groups, fast learners commonly dominate decision-making and task completion, whereas students with special educational needs become passive observers with limited opportunities to contribute meaningfully ( Theobald et al., 2017; Zeng et al., 2024). Furthermore, conventional PBL generally may provide limited flexibility for adapting learning activities, assessment strategies, and teacher support to substantial differences in learner readiness and therefore provides limited instructional flexibility for adapting learning activities, assessment strategies, and teacher support according to individual learning differences. These limitations suggest that although PBL possesses substantial pedagogical potential, its implementation within inclusive classrooms requires systematic instructional adaptation.

Differentiated Instruction has emerged as one of the most promising approaches for addressing learner diversity within inclusive education ( Goyibova et al., 2025; Nketsia et al., 2025). Grounded in the work of Tomlinson (2021), differentiated instruction emphasizes that effective teaching should be responsive to students’ readiness, interests, and learning profiles ( Coubergs et al., 2017; Gheyssens et al., 2022). Rather than providing identical learning experiences for every student, teachers systematically modify instructional content, learning processes, expected products, and classroom environments to ensure that all learners receive appropriate levels of challenge and support. Within numeracy instruction, differentiated teaching enables students to progress according to their individual developmental stages while maintaining common learning objectives.

Despite its considerable potential, differentiated instruction is often difficult to implement consistently in everyday classroom practice. Many teachers experience uncertainty when designing differentiated learning materials, preparing tiered instructional activities, developing adaptive assessments, and managing multiple learning pathways simultaneously. Preparing different lesson plans and instructional resources for diverse student groups substantially increases teachers’ workload and administrative responsibilities. Consequently, differentiation is frequently implemented only partially and remains disconnected from existing instructional models. In particular, previous implementations of differentiated instruction have rarely been systematically integrated with the inquiry-oriented learning processes characteristic of Problem-Based Learning, leaving teachers without a coherent instructional framework specifically designed for inclusive numeracy education.

Existing studies have provided evidence regarding the potential of Problem-Based Learning and Differentiated Instruction to support learning, but these approaches have often been examined separately or evaluated after implementation. Less attention has been given to how teachers’ actual instructional needs in inclusive numeracy classrooms can be systematically translated into concrete instructional requirements for an integrated model. In particular, there is limited empirical evidence showing how differences in learners’ numeracy readiness, difficulties in implementing conventional PBL, challenges in applying differentiated instruction, and teachers’ need for practical instructional support can be connected to specific design decisions within an integrated instructional framework.

Addressing this gap requires a needs assessment that goes beyond establishing whether teachers perceive instructional problems. It should identify the specific classroom conditions and instructional challenges that need to be addressed and establish a traceable relationship between empirical findings, instructional requirements, and preliminary design implications. Such an approach can help ensure that an instructional model is grounded in classroom realities rather than being derived primarily from theoretical assumptions.

Therefore, the present study focused on the needs-assessment phase of a broader Research and Development project for the Differentiation-Based Problem-Based Learning (DIF-PBL) model. The study examined teachers’ perceptions of current numeracy learning conditions, the implementation of conventional PBL, challenges in implementing differentiated instruction, and the perceived need for an integrated instructional approach. These findings were subsequently mapped to preliminary instructional requirements and design implications for the DIF-PBL model. The study did not evaluate the effectiveness of DIF-PBL; rather, it established an empirical basis for its subsequent development and validation. Accordingly, this study addressed the following research questions:

RQ1. What are the current conditions of numeracy learning in inclusive elementary classrooms?

RQ2. What limitations do teachers experience in implementing conventional Problem-Based Learning?

RQ3. What challenges do teachers encounter in implementing differentiated instruction?

RQ4. What preliminary instructional requirements can be derived from the needs assessment to inform the design of the DIF-PBL model?

2. Research methods

2.1 Research design

This study represents theneeds-assessment phase of a broader research and development project aimed at designing a Differentiation-Based Problem-Based Learning (DIF-PBL) model for inclusive numeracy learning. Rather than evaluating the effectiveness of the model, the present study focused on identifying instructional problems, teachers’ perceived needs, and preliminary differences in learner characteristics that could inform subsequent instructional design.

A descriptive needs-assessment design was employed. The primary dataset consisted of a structured questionnaire administered to teachers, while structured observations of three students were used as illustrative contextual evidence. The questionnaire provided quantitative information about teachers’ perceptions of current numeracy instruction, conventional Problem-Based Learning, differentiated instruction, and the perceived need for an integrated instructional model. The student observations were not intended to provide population-level evidence but to illustrate differences in learning readiness, mathematical representation, instructional support needs, and classroom participation.

The findings from these two sources were subsequently synthesized to formulate instructional design requirements for the DIF-PBL model. Because the present study did not collect or report qualitative teacher interviews, focus groups, or open-ended questionnaire data, it is not characterized as a convergent parallel mixed-methods study.

2.2 Participants

This research was conducted from August 2025 to November 2025 in three inclusive elementary schools in Tellu Siattinge District, Bone Regency South Sulawesi, Indonesia. The schools were purposively selected because they formally implemented inclusive education and provided learning opportunities for regular students and students with special educational needs within the same classroom setting. The dissertation research documentation identifies the three schools as SD Negeri 66 Sijelling, SD Negeri 69 Itterung, and SD Negeri 56 Lanca.

Twenty teachers participated in the needs-assessment questionnaire. The participants consisted of classroom teachers and special education support teachers (Guru Pendamping Khusus/GPK) who were involved in inclusive elementary education. The needs assessment therefore represents the perspectives of practitioners directly involved in supporting numeracy learning in inclusive classrooms.

Three students were included in the structured classroom observations as illustrative cases representing three learner profiles: one regular student, one slow learner, and one student with special educational needs. Because only three students were observed, these observations were used to contextualize the questionnaire findings rather than to estimate the prevalence of learner differences in the wider population.

2.3 Instruments and data collection

Two data collection instruments were used in the present needs assessment: a teacher needs-analysis questionnaire and a structured classroom observation sheet.

The teacher questionnaire consisted of 13 statements organized into four dimensions: (1) factual conditions of numeracy learning in inclusive classrooms (Items 1–4), (2) current implementation of Problem-Based Learning (Items 5–7), (3) implementation of differentiated instruction (Items 8–10), and (4) perceived urgency and need for a new instructional model (Items 11–13). Each item was rated on a four-point Likert scale: 1 = strongly disagree, 2 = disagree, 3 = agree, and 4 = strongly agree. The four-point response format was used to avoid a neutral midpoint and require respondents to indicate the direction of their judgment.

Before data collection, the questionnaire was reviewed by three experts with relevant expertise in mathematics education and inclusive education. Content validity was assessed using Aiken’s V based on the experts’ ratings. The results showed that all 13 items obtained Aiken’s V values above the predetermined minimum criterion and were therefore considered valid for use in the needs assessment. This expert-validation process was conducted to examine the relevance and clarity of the questionnaire items before administration to the participating teachers.

Internal consistency was subsequently examined using Cronbach’s alpha based on responses from the 20 participating teachers. The overall 13-item questionnaire yielded a Cronbach’s alpha of 0.79. Dimension-level coefficients were 0.65 for factual conditions, 0.58 for PBL implementation, 0.18 for differentiated instruction, and 0.00 for the perceived urgency and need dimension. These dimension-level coefficients should be interpreted cautiously because of the small sample size (n = 20), the limited number of items within each dimension, and the absence of response variation for Items 12 and 13. Accordingly, the questionnaire was used primarily as a descriptive needs-assessment instrument, rather than as a psychometrically established multidimensional scale.

The structured classroom observation sheet assessed four areas: contextual problem solving, mathematical representation, instructional support required, and classroom participation. The observation instrument used a four-point rating scale ranging from very limited to independent. The observations of three students representing different learner profiles were used as illustrative cases to contextualize the quantitative questionnaire findings, rather than as a basis for statistical generalization.

2.4 Data analysis

Questionnaire responses were analyzed using descriptive statistics at the item level. For each item, the mean, standard deviation, and frequency of responses in each Likert category were calculated. Because the sample consisted of 20 teachers, response frequencies and percentages were retained to show the distribution of judgments.

The primary descriptive statistic was the raw Likert mean, ranging from 1 to 4. Higher mean scores indicated stronger endorsement of the statement. For interpretive purposes, responses in categories 3 and 4 were also summarized as positive responses because both categories represented agreement with the corresponding statement.

The 0–100 indicator scores reported in the previous version of the manuscript were not interpreted as percentages of teachers agreeing. Those values were transformed scores derived from the original scoring table and could be misleading because they do not represent the proportion of respondents selecting a particular response category. Therefore, the revised manuscript reports raw means, standard deviations, and actual response frequencies as the primary evidence.

Student observation data were summarized descriptively across the three illustrative learner profiles. The observations were used to provide contextual examples of differences in problem-solving independence, mathematical representation, instructional support, and classroom participation. No inferential analysis or population-level generalization was conducted from these three cases.

Finally, questionnaire findings and illustrative observations were synthesized into instructional design requirements. The synthesis was treated as an interpretive design step rather than as a formal root-cause analysis. Accordingly, the term “underlying instructional factors” is used instead of “critical root causes.

3. Results and discussion

The needs assessment results are presented first at the item level to provide an overall description of teachers’ responses before examining the four thematic dimensions of the questionnaire. The questionnaire used a four-point Likert scale, ranging from 1 (not needed) to 4 (strongly needed and urgent). Table 1 presents the mean, standard deviation (SD), frequency of responses for each response category, and the proportion of respondents selecting scores 3 or 4. This presentation allows the distribution of responses to be examined directly rather than relying on transformed percentage scores.

Table 1. Item-level descriptive statistics of the teacher needs-assessment questionnaire.

Item Mean SD Score 1 Score 2 Score 3 Score 4 Score 3–4
1 3.60 0.50 0 0 8 12 100%
2 3.60 0.50 0 0 8 12 100%
3 3.70 0.47 0 0 6 14 100%
4 3.40 0.50 0 0 12 8 100%
5 3.30 0.57 0 1 12 7 95%
6 3.55 0.51 0 0 9 11 100%
7 3.70 0.47 0 0 6 14 100%
8 2.85 0.49 0 4 15 1 80%
9 3.70 0.47 0 0 6 14 100%
10 3.85 0.37 0 0 3 17 100%
11 3.95 0.22 0 0 1 19 100%
12 4.00 0.00 0 0 0 20 100%
13 4.00 0.00 0 0 0 20 100%

Note. Score 1 = Not Needed; Score 2 = Quite Needed; Score 3 = Needed; Score 4 = Strongly Needed and Urgent. Score 3–4 represents the proportion of teachers selecting the two higher response categories. N = 20.

Overall, the responses indicate a consistently high level of perceived need across most questionnaire items. The item means ranged from 2.85 to 4.00, while the proportion of respondents selecting scores 3 or 4 ranged from 80% to 100%. The highest mean scores were observed for Items 12 and 13 (M = 4.00, SD = 0.00), followed by Item 11 (M = 3.95, SD = 0.22). These items concerned the need for an operational teacher guide, the urgency of developing the DIF-PBL model, and the need for a numeracy learning model combining PBL with practical differentiation strategies. In contrast, Item 8 had the lowest mean (M = 2.85, SD = 0.49), although 80% of respondents still selected scores 3 or 4, indicating that difficulty in implementing differentiated learning was present for most respondents but was less uniformly endorsed than the other needs.

The results are further organized below into four dimensions: (1) current conditions of numeracy learning in inclusive classrooms, (2) implementation of problem-based learning, (3) differentiated instruction, and (4) perceived need for an integrated instructional model.

3.1 Current conditions of numeracy learning in inclusive classrooms

The first dimension examined teachers’ perceptions of current numeracy-learning conditions in inclusive classrooms. The four items produced a dimension mean of 3.58 (SD = 0.50). All 20 teachers selected either agree or strongly agree for each of the four statements.

The highest mean was observed for Item 3 (M = 3.70, SD = 0.47), concerning students with special educational needs appearing anxious, passive, or frustrated when faced with abstract numeracy problems. Fourteen teachers selected strongly agree and six selected agree. Items 1 and 2 both obtained a mean of 3.60 (SD = 0.50), with all respondents agreeing that disparities in basic numeracy skills were present and that balancing instructional time and attention across learners was difficult. Item 4 obtained the lowest mean within this dimension (M = 3.40, SD = 0.50), although all respondents still agreed or strongly agreed that current assessment instruments did not fully accommodate differences in students’ cognitive abilities.

These findings indicate that teachers perceived learner heterogeneity and the associated instructional challenges as important characteristics of numeracy learning in the participating inclusive classrooms.

3.2 Current implementation of Problem-Based Learning

The three items examining conventional Problem-Based Learning produced a dimension mean of 3.52 (SD = 0.54). Item 7 obtained the highest mean (M = 3.70, SD = 0.47), with all 20 teachers agreeing or strongly agreeing that the PBL steps required modification to make instructions easier to understand for students with different levels of learning readiness. Item 6 also received strong endorsement (M = 3.55, SD = 0.51), with all respondents agreeing or strongly agreeing that fast learners tended to dominate regular PBL group activities. Item 5 obtained a mean of 3.30 (SD = 0.57), with 19 of the 20 respondents agreeing or strongly agreeing that conventional PBL was difficult to implement effectively for slow learners.

These findings suggest that the main concern was not the rejection of PBL itself, but the perceived need to make its procedures more flexible and accessible to learners with different levels of readiness. The finding concerning unequal participation also indicates a need for more structured collaborative arrangements within inclusive PBL activities.

3.3 Challenges in Implementing Differentiated Instruction

The three items addressing differentiated instruction produced a dimension mean of 3.47 (SD = 0.62). The strongest response concerned the use of gradual learning representations, from concrete objects to pictures and numerical symbols (Item 10: M = 3.85, SD = 0.37). All 20 teachers agreed or strongly agreed with this statement, including 17 who selected strongly agree.

Item 9, concerning the administrative workload associated with preparing differentiated learning plans, also received strong endorsement (M = 3.70, SD = 0.47), with all respondents selecting agree or strongly agree. Item 8 differed from the other items because it described a difficulty, rather than confidence, in implementing differentiated instruction. The item obtained a mean of 2.85 (SD = 0.49), with 15 teachers agreeing and one strongly agreeing that they experienced technical difficulty implementing differentiated instruction, while four selected disagree. Thus, 80% of respondents endorsed the statement that they experienced implementation difficulties. The score should not be interpreted as 66.25% teacher confidence, as stated in the previous version of the manuscript.

Overall, the findings indicate that teachers recognized the need for differentiated instruction but also experienced practical difficulties in translating differentiation principles into classroom planning, materials, and instructional procedures.

3.4 Perceived need for an integrated DIF-PBL model

The final three items examined teachers’ perceived need for an integrated instructional model. This dimension showed the highest mean score among the four dimensions (M = 3.98, SD = 0.13).

Item 11, concerning the need for a numeracy learning model that combines Problem-Based Learning with practical differentiation strategies, obtained a mean of 3.95 (SD = 0.22). Nineteen teachers selected strongly agree and one selected agree. Item 12, concerning the need for an operational teacher guide containing practical examples, worksheets, and inclusive assessment rubrics, obtained a mean of 4.00 (SD = 0.00), with all 20 teachers selecting strongly agree. Item 13, which explicitly referred to the urgency of developing the DIF-PBL model, also obtained a mean of 4.00 (SD = 0.00), with all respondents selecting strongly agree.

These results indicate a very strong perceived need for practical instructional support and for an integrated approach combining PBL and differentiated instruction. However, because Items 11–13 directly frame the proposed model and its urgency, these responses should be interpreted as evidence of perceived need, rather than independent evidence that the DIF-PBL model itself is effective or superior to existing approaches.

3.5 Illustrative observations of learner differences

Structured observations were conducted with three students representing different learner profiles: one regular student, one slow learner, and one student with special educational needs. The observation instrument covered contextual problem solving, mathematical representation, instructional support required, and classroom participation.

The observations provided illustrative evidence of variation in learning readiness and instructional support needs. The regular student demonstrated greater independence in solving contextual numeracy tasks, whereas the slow learner required additional processing time and repeated guidance. The student with special educational needs relied more heavily on concrete materials, visual representations, and teacher scaffolding during the observed activities.

These observations are interpreted only as illustrative cases. Given the very small number of observed students, they cannot be used to estimate the prevalence of these characteristics or to establish general differences between regular students, slow learners, and students with special educational needs. Their primary function in this study was to provide contextual information that helped interpret the teacher questionnaire findings.

3.6 Synthesis of the needs assessment

From empirical findings to preliminary instructional requirements

As shown in Table 2, the needs assessment points to several recurring instructional requirements. First, learner heterogeneity requires differentiated learning pathways, tiered tasks, and flexible teacher support. Second, the reported difficulty with abstract numeracy and the observed differences in students’ learning needs indicate the importance of a gradual concrete–pictorial–abstract progression accompanied by systematic scaffolding. Third, teachers’ responses regarding conventional PBL suggest a need for flexible procedures, structured participation, and opportunities to modify the PBL process according to learner readiness. Finally, the responses concerning differentiated instruction, planning workload, teacher guidance, and the integration of PBL with differentiation highlight the need for practical implementation support. Collectively, these findings informed the preliminary design implications of DIF-PBL presented in the subsequent section.

Table 2. Traceability from empirical findings to preliminary instructional requirements and DIF-PBL design implications.

Empirical finding Evidence source Instructional requirement Proposed DIF-PBL implication
Differences in numeracy readiness Items 1–3; student observations Differentiated learning pathways Tiered learning tasks and differentiated pathways
Difficulty balancing instructional support Item 2 Flexible instructional support Adaptive teacher support within PBL
Difficulty with abstract numeracy Item 3; observations Gradual conceptual progression CPA sequence and scaffolding
Assessment does not accommodate learner differences Item 4 Adaptive assessment Differentiated formative assessment
Conventional PBL is difficult for some learners Item 5 Flexible PBL procedures Modified PBL syntax
Unequal participation in PBL groups Item 6 Structured collaborative participation Explicit group roles and participation structures
PBL syntax requires modification Item 7 Flexible PBL syntax Adaptive decision points
Teachers experience difficulty implementing DI Item 8 Operational guidance Practical teacher guidance and examples
Differentiated planning increases workload Item 9 Integrated planning support Integrated planning templates
Need for concrete–pictorial–symbolic progression Item 10 CPA progression CPA-based learning sequence
Need for integrated PBL + differentiation Item 11 Integrated instructional framework DIF-PBL conceptual integration
Need for operational teacher guidance Item 12 Implementation support Teacher guide, worksheets, rubrics
Strongly stated urgency for DIF-PBL Item 13 Perceived demand Basis for prototype development

4. Discussion

4.1 Why inclusive numeracy learning requires adaptive instruction

The findings of this study indicate that numeracy learning in inclusive elementary classrooms is characterized by substantial heterogeneity in students’ learning readiness, mathematical understanding, and instructional support needs. Teachers consistently reported difficulties in simultaneously facilitating students with diverse cognitive abilities while ensuring equitable participation in classroom learning. These findings reinforce the fundamental principle of inclusive education that instructional practices should be designed to accommodate learner diversity rather than expecting students to adapt to uniform teaching approaches ( Dr. Ranbir, 2024; Kaur & Bhatia, 2024; Letzel-Alt & Pozas, 2025).

From a cognitive development perspective, Piaget’s theory suggests that elementary school students are predominantly situated within the concrete operational stage, during which mathematical understanding develops most effectively through direct manipulation of concrete objects before progressing toward symbolic abstraction ( Wadsworth, 1995). However, students with special educational needs frequently require extended experiences with concrete representations and additional instructional support before achieving conceptual understanding comparable to their peers ( Flores et al., 2023; Flores & Hinton, 2022). Consequently, identical instructional activities may produce substantially different learning outcomes among students within the same classroom.

The present findings are also consistent with Tomlinson’s theory of Differentiated Instruction, which emphasizes that effective teaching should be responsive to students’ readiness, interests, and learning profiles ( Economidou Stavrou, 2024; Tomlinson, 2021). Teachers participating in this study recognized the necessity of adapting learning activities according to students’ diverse characteristics, yet they simultaneously acknowledged experiencing considerable challenges in implementing differentiation consistently. This discrepancy suggests that awareness of differentiation alone is insufficient; teachers require structured instructional frameworks that operationalize differentiation within daily classroom practice.

Furthermore, the findings support the principles of Universal Design for Learning (UDL), which advocate providing multiple means of engagement, representation, and action or expression to ensure equitable learning opportunities for all students. The reported disparities in numeracy achievement and the limitations of existing assessment practices indicate that inclusive numeracy learning requires instructional environments capable of accommodating diverse pathways toward achieving common learning objectives. Therefore, adaptive instruction should not be viewed as an optional teaching strategy but rather as a fundamental requirement for achieving educational equity in inclusive classrooms.

4.2 Why conventional problem-based learning falls short in inclusive classrooms

Although Problem-Based Learning has consistently demonstrated positive effects on students’ critical thinking ( Nguyen et al., 2025), collaboration ( Wijayanto et al., 2025), and mathematical problem-solving abilities ( Dorimana et al., 2022), the present findings reveal several limitations when conventional PBL is implemented within inclusive classrooms. Teachers reported that existing PBL procedures are insufficiently flexible to accommodate learners with diverse cognitive readiness and frequently result in unequal participation during collaborative learning activities.

One possible explanation can be understood through Cognitive Load Theory. Authentic contextual problems, while educationally meaningful, often require learners to simultaneously process multiple sources of information, activate prior knowledge, coordinate collaborative interactions, and construct appropriate solution strategies ( Evains et al., 2024; Lovellette et al., 2024). For students with limited working memory capacity or delayed cognitive development, these instructional demands may generate excessive cognitive load, thereby reducing learning effectiveness. Consequently, the complexity of conventional PBL tasks may unintentionally disadvantage students with special educational needs unless appropriate instructional supports are incorporated ( D’Elia et al., 2025; Riera Hermida et al., 2025).

The collaborative nature of PBL also presents unique challenges within heterogeneous classrooms. Collaborative learning theories emphasize that group interaction promotes knowledge construction through social negotiation and shared responsibility ( Hmelo-Silver & Barrows, 2008; Zabolotna et al., 2025). However, the findings indicate that fast learners frequently dominate discussions and decision-making processes, while students requiring greater instructional support become passive participants. Such unequal participation limits opportunities for meaningful engagement and may reinforce existing achievement disparities rather than reducing them.

These findings do not suggest that Problem-Based Learning is inappropriate for inclusive education. Instead, they indicate that the instructional syntax of conventional PBL requires systematic adaptation to ensure that inquiry, collaboration, and problem-solving activities remain accessible for students with varying learning characteristics. Consequently, the effectiveness of PBL within inclusive classrooms depends not only on authentic problems but also on the flexibility of instructional design supporting diverse learners throughout the learning process.

4.3 Instructional design implications emerging from the needs assessment

The needs assessment suggests several instructional design implications for a future DIF-PBL model. These implications should be understood as preliminary design requirements rather than empirically validated components of an effective model.

First, differentiated learning pathways and tiered learning tasks are indicated by the substantial variation in teachers’ reports of students’ numeracy readiness and the difficulty of balancing instructional support within the same classroom. A future model should therefore allow students to work toward common learning objectives through appropriately differentiated levels of task complexity and support.

Second, the findings support a more flexible PBL syntax. Teachers reported that conventional PBL was difficult for some learners and that its instructional steps required modification. The implication is not that PBL should be abandoned, but that its procedures should include opportunities for adjusting task demands, explanations, pacing, and support according to learner readiness.

Third, the findings support the inclusion of a Concrete–Pictorial–Abstract progression and systematic scaffolding. Teachers strongly endorsed the need for gradual movement from concrete materials to pictorial and symbolic representations, while the observations provided illustrative examples of students requiring different levels of representational and instructional support.

Fourth, the findings indicate a need for structured collaborative participation. Because teachers reported that faster learners could dominate group activities, future model development should include explicit group roles and participation structures. Peer tutoring may be considered as one possible implementation strategy, but it was not directly measured by the questionnaire and therefore should be treated as a design option rather than an empirically established requirement.

Fifth, adaptive assessment and practical teacher guidance are supported by the findings. Teachers reported limitations in current assessment instruments and strong demand for an operational teacher guide containing practical examples, worksheets, and inclusive assessment rubrics. These findings suggest that differentiation should extend beyond learning activities to include assessment and implementation support.

4.4 From empirical needs to preliminary DIF-PBL model

The findings provide an empirical starting point for the subsequent design of the DIF-PBL model. The proposed framework should not be interpreted as having been validated by the present needs assessment. Instead, the findings identify classroom conditions and teacher-perceived requirements that can be translated into an initial instructional specification.

The central design principle is the integration of Problem-Based Learning with differentiated instructional pathways. PBL provides the overall problem-solving structure, while differentiation is expected to regulate task complexity, representational support, pacing, and instructional assistance according to learner readiness. CPA progression and systematic scaffolding can provide additional support for learners who experience difficulty with abstract mathematical representations. Structured collaborative participation can be incorporated to reduce unequal participation during group activities, while adaptive assessment can provide teachers with information for adjusting subsequent learning activities.

These design implications require further validation through expert judgment, prototype testing, classroom implementation, and effectiveness studies. The present study therefore provides a needs-based design specification rather than evidence of the effectiveness of the DIF-PBL model.

4.5 Research contributions

This study contributes by linking teacher-reported instructional problems in inclusive numeracy classrooms to preliminary design implications for an integrated PBL and differentiated-instruction model. The study also demonstrates the importance of examining practical implementation issues, rather than focusing only on the theoretical compatibility of PBL and Differentiated Instruction. A further contribution is the explicit identification of practical implementation needs, including differentiated learning pathways, flexible PBL procedures, gradual mathematical representation, scaffolding, adaptive assessment, and operational teacher guidance. These findings provide a transparent empirical basis for subsequent prototype development and validation.

4.6 Limitations and future research

Several limitations should be considered when interpreting the findings. First, the questionnaire involved only 20 teachers from three inclusive elementary schools in one district, limiting the transferability of the findings to other educational contexts. Second, the internal consistency estimates, particularly at the dimension level, should be interpreted cautiously because of the small sample and the small number of items per dimension.

Third, several questionnaire items were explicitly framed around the proposed DIF-PBL model. In particular, Items 11 and 13 directly asked teachers about their need for an integrated model and the urgency of DIF-PBL development. Item 10 also directly specified a concrete–pictorial–symbolic progression. These formulations may introduce acquiescence and framing bias and create partial circularity between the needs assessment and the proposed design. The findings should therefore be interpreted as evidence of perceived instructional need rather than independent confirmation of the proposed model components.

Fourth, the researchers were involved in developing the DIF-PBL model, which creates a potential dual-role bias in interpreting teachers’ perceived needs. Future studies should strengthen independence through externally reviewed instruments, blinded analysis where feasible, and validation by researchers who are not directly involved in model development.

Fifth, the student observations involved only three illustrative cases. The available observation records provide contextual information about learner profiles and instructional support needs, but the small number of cases does not permit generalization. Future studies should include larger and more systematically sampled groups of students and report grade level, learner identification procedures, observation duration, number of sessions, observer characteristics, and task specifications in greater detail.

Finally, the present study does not evaluate the effectiveness of DIF-PBL. Subsequent research should examine the validity, practicality, implementation fidelity, and effectiveness of the resulting prototype across multiple inclusive elementary-school contexts.

5. Conclusion

This study examined teachers’ perceived instructional needs as the empirical starting point for designing a Differentiation-Based Problem-Based Learning (DIF-PBL) model for inclusive numeracy learning. The questionnaire findings indicate substantial perceived challenges related to learner heterogeneity, balancing instructional support, conventional PBL implementation, differentiated instruction, and assessment practices.

The strongest responses concerned the need for an integrated PBL and differentiation approach, an operational teacher guide, and the perceived urgency of developing the proposed DIF-PBL model. The findings also indicate practical requirements for differentiated learning pathways, flexible PBL procedures, gradual concrete–pictorial–symbolic representation, systematic scaffolding, structured collaborative participation, and adaptive assessment.

The three student observations provided illustrative contextual evidence of variation in learning readiness, mathematical representation, instructional support, and classroom participation. Because these observations involved only three students, they should not be interpreted as evidence of population-level differences.

Overall, the study provides a transparent needs-based foundation for subsequent DIF-PBL prototype development. However, the findings do not establish the effectiveness or superiority of the proposed model. Expert validation, prototype testing, classroom implementation, and effectiveness evaluation are required in subsequent research.

Ethical approval

This study was conducted in accordance with the principles of the Declaration of Helsinki. Ethical approval was obtained from the Institutional Review Board (IRB) of Universitas Bosowa (Approval No. 203/1.02/DRIPM-UNIBOS/VII/2025; approved on 21 July 2025).

AI statement

The authors stated that generative artificial intelligence tools were used in a limited manner to assist with language editing, organization of academic writing, improvement of clarity, and improving image quality. The conceptual framework, research design, data analysis, interpretation, and final conclusions were developed entirely by the authors.

Informed consent

Written informed consent was obtained from all participating teachers. For student participants who were minors, written informed consent was obtained from their parents or legal guardians prior to participation. Assent was also obtained from the students according to their level of understanding.

Acknowledgments

Our highest gratitude and appreciation to all parties who have helped in this research.

Funding Statement

The author(s) declared that no grants were involved in supporting this work.

[version 2; peer review: 2 approved

Data availability statement

The data supporting the findings of this study are available in figshare:

This repository contains the teacher needs analysis questionnaire, anonymized raw responses from 20 participating teachers, and the descriptive data used to generate the quantitative findings reported in this study.

This repository contains the structured classroom observation instrument together with anonymized observation summaries for the three learner profiles (regular student, slow learner, and student with special educational needs) used during the initial needs assessment.

All datasets have been anonymized to protect participant confidentiality. Data are available under the terms of the Creative Commons Attribution 4.0 International (CC-BY 4.0) license.

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F1000Res. 2026 Nov 6. doi: 10.5256/f1000research.211866.r537972

Reviewer response for version 2

Andi Hasdiansyah 1

I appreciate the authors' efforts in revising the manuscript and responding to the comments raised during the previous rounds of peer review.

The second revised version satisfactorily addresses my principal concerns. The revisions have improved the clarity, coherence, and overall presentation of the manuscript. I am satisfied with the authors' responses and consider the manuscript to be in an acceptable form.

I have no further substantive comments or requests for revision. I therefore recommend Approved for the current version of the manuscript.

I thank the authors for their constructive engagement throughout the review process.

Is the work clearly and accurately presented and does it cite the current literature?

Partly

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

Education

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2026 Nov 5. doi: 10.5256/f1000research.211866.r537971

Reviewer response for version 2

Marisol Jane M Beray 1

I have no further comments.

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Partly

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Partly

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

Technology Education, Electronics Engineering Technology, Teacher Education

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2026 Sep 28. doi: 10.5256/f1000research.207432.r518284

Reviewer response for version 1

Marisol Jane M Beray 1

Summary:

The authors describe the first phase of a larger R&D project aimed at building a Differentiation-Based Problem-Based Learning (DIF-PBL) model for numeracy in inclusive elementary classrooms. Twenty teachers filled out a 13-item, four-point Likert questionnaire, and three students (a regular student, a slow learner and a student with special educational needs) were observed. The findings are pulled together in a synthesis matrix, from which the authors derive design requirements for the model: CPA sequences, scaffolding, tiered tasks, peer tutoring, flexible PBL syntax, and adaptive assessment.

Good Points:

This is a worthwhile topic. PBL and differentiated instruction are usually studied apart from each other, and starting model development from a needs assessment rather than from theory alone is a sensible move. The paper is easy to follow, and the line from research questions to results to design requirements is clear. I also appreciated that the authors deposited the questionnaire, anonymized responses and observation instruments in an open repository, and that the limitations section is honest about the single region, the teacher-heavy perspective and the early stage of the project.

Main concerns

1. I could not make sense of the percentages. With only 20 respondents, figures like 87.5%, 83.75% and 91.25% can't be proportions of teachers (87.5% of 20 would be 17.5 people). They look like normalized Likert scores, yet the figures are titled "Percentage of Teachers Agreeing" and the text says things like "87.50% of teachers agreed." Please spell out the formula, retitle the figures, reword the text, and give item means, SDs and the actual agree/disagree counts.

2. Figure 4 and Section 3.3 say opposite things. The figure describes the 66.25% item as "difficulty in implementing differentiated instruction," but the text reports that "only 66.25% indicated confidence." Those are very different readings. Since this item feeds into the 81.67% dimension mean and supports the argument that teachers need practical guidance, I'd ask the authors to go back to the original item wording and scoring direction and fix whichever is wrong.

3. The "mixed-methods" label seems too strong. I couldn't find any qualitative teacher data (interviews, focus groups, open-ended items). The only qualitative strand is the observation of three students, and Section 2.3 promises "three techniques" but describes two. Calling this a convergent parallel design with methodological triangulation isn't really justified. The authors could either report qualitative teacher data or describe the study as a descriptive survey with illustrative case observations.

4. The "critical root causes" don't have a clear analytical basis. In Table 1, that column mostly restates the findings, and no root-cause procedure (five-whys, fishbone, coded qualitative data, etc.) is described. I'd suggest either explaining the method or using more modest wording such as "underlying instructional factors." Root causes are also named in the aims but have no matching research question.

5. I couldn't trace the design requirements back to the data. The synthesis lists four requirements, while the abstract and conclusion list seven components. Peer tutoring and adaptive assessment in particular seem thinly supported, since no questionnaire item asks about peer tutoring directly. A simple traceability table (finding → requirement → component) would clear this up.

6. A few questionnaire items are leading or circular. "Development of the DIF-PBL model is urgently needed" names the authors' own model, and the item on gradual media from concrete to symbolic is essentially CPA, which is later presented as an empirical finding. The 93–95% urgency scores are therefore open to acquiescence bias, which the paper doesn't mention. Because the authors are also the model's developers, that dual role deserves a line in the limitations too.

7. There isn't enough methodological detail to replicate the study. It would help to see:

  • the actual Cronbach's alpha (ideally per dimension, with a note that n = 20 makes it unstable);

  • quantitative expert-validation results (CVI or Aiken's V);

  • the full wording of all 13 items;

  • the number of schools and how they were selected;

  • teacher characteristics (grade taught, experience, inclusive-education training);

  • how the teachers were recruited.

8. The student observations are under-described. Please tell us the grade level, the type of SEN and how it was identified, how "slow learner" was defined, what tasks were used, how many sessions there were and how long they lasted, who observed, and whether a rubric was used. With n = 3, these read best as illustrative cases; I'd avoid framing them as evidence of disparities.

Small points

  • Some citations don't seem to back up the claims they're attached to. For example, Yeh et al. (2019) is cited for Indonesian national data, and Evains et al. (2024), a physics and smartphone study, is cited for SEN and cognitive load. Foundational sources such as Tomlinson, Sweller, Vygotsky and CAST/UDL would be better cited directly, and the AKM data should be updated.

  • Section 3 is titled "Results and discussion," but Section 4 is already the Discussion.

  • Words like "comprehensive," "evidence-based" and "replicable framework" go further than 20 questionnaires and three observations can carry. I'd tone them down.

  • A few typos and formatting slips: "The The" in a reference, the "Dr. Ranbir" citation format, a double comma in affiliation 1, and incomplete CRediT roles.

  • Please share the raw observation records and a codebook, not just summaries.

Overall

This is a useful exploratory foundation, and I don't think any of the above requires new data collection (unless the authors want to add teacher qualitative data). That said, the percentage problem, the Figure 4 contradiction, the overstated design claims, and the missing methodological detail currently keep the conclusions from being fully supported.

I'd want points 1–5 and 7–8 addressed before the conclusions are considered sound.

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Partly

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Partly

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

Technology Education, Electronics Engineering Technology, Teacher Education

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

F1000Res. 2026 Oct 1.
Mentari Rama Putri 1

We sincerely thank the reviewer for the constructive and detailed evaluation of our manuscript. We appreciate the positive assessment of the relevance of the topic, the integration of Problem-Based Learning (PBL) and differentiated instruction, the needs-assessment approach, and the open availability of the research materials. We have carefully considered all comments and substantially revised the manuscript. The major revisions concern the presentation and interpretation of the questionnaire data, clarification of the research design, refinement of the instructional design claims, additional methodological information, and clearer reporting of the illustrative student observations.

Our responses to each comment are provided below.

Comment 1. Percentage scores are difficult to interpret

I could not make sense of the percentages. With only 20 respondents, figures like 87.5%, 83.75% and 91.25% can't be proportions of teachers... Please spell out the formula, retitle the figures, reword the text, and give item means, SDs and the actual agree/disagree counts.

Response

Thank you for identifying this important issue. We agree that the previous presentation could incorrectly be interpreted as the percentage of teachers agreeing with each statement. The transformed values previously reported in Figures 2–5 were derived from Likert-score calculations and did not represent the proportion of respondents.

To eliminate this ambiguity, we have substantially revised the presentation of the questionnaire results. Figures 2–5 have been removed and replaced with a new item-level descriptive statistics table (Table 1) reporting the mean, standard deviation, response frequencies for Scores 1–4, and the proportion of respondents selecting Scores 3–4.

The Results section has also been rewritten so that statements such as “87.50% of teachers agreed” are no longer used. Instead, the findings are reported using the actual response distribution and descriptive statistics. For example, Item 8 is now reported as M = 2.85, SD = 0.49, with 15 respondents selecting Score 3 and one selecting Score 4, corresponding to 80% selecting the two higher response categories.

This revision makes the numerical interpretation transparent and directly verifiable from the response frequencies.

Changes in manuscript: Results section, new Table 1, and corresponding interpretation of Sections 3.1–3.4.

Comment 2. Contradiction concerning Item 8

Figure 4 and Section 3.3 say opposite things... The figure describes the 66.25% item as “difficulty in implementing differentiated instruction,” but the text reports that “only 66.25% indicated confidence.”

Response

We agree with the reviewer. The original wording incorrectly interpreted Item 8 as measuring teacher confidence. The original questionnaire item actually measures teachers’ perceived difficulty in implementing differentiated instruction technically.

We have therefore corrected the interpretation throughout the manuscript. In the revised Results section, Item 8 is reported as M = 2.85, SD = 0.49. Fifteen respondents selected Score 3 and one selected Score 4, meaning that 80% of respondents endorsed the statement at the two higher response categories.

The revised text explicitly states that this finding represents a perceived implementation challenge, rather than evidence of teacher confidence.

The previous figure containing the ambiguous transformed percentage has also been removed.

Changes in manuscript: Section 3.3 and Table 1.

Comment 3. The mixed-methods label is too strong

The “mixed-methods” label seems too strong... The authors could either report qualitative teacher data or describe the study as a descriptive survey with illustrative case observations.

Response

We agree with this comment. Upon re-examination, the present article does not contain a qualitative teacher strand such as interviews, focus groups, or open-ended questionnaire responses. The primary dataset is the quantitative teacher needs-assessment questionnaire, complemented by observations of three students.

Accordingly, we have removed the “mixed-methods convergent parallel design” terminology and no longer describe the study as a convergent parallel mixed-methods study or as involving methodological triangulation.

The revised study is described as a descriptive needs assessment within the initial phase of a broader Research and Development project, complemented by illustrative student observations. The role of the student observations is explicitly limited to providing contextual illustrations rather than constituting a separate qualitative strand for methodological integration.

We have also revised the description of the data collection procedures so that the number and type of data-collection approaches are consistent throughout the manuscript.

Changes in manuscript: Abstract, Introduction, Sections 2.1–2.3, Results, and Discussion.

Comment 4. The “critical root causes” lack a clear analytical basis

The “critical root causes” don't have a clear analytical basis... I'd suggest either explaining the method or using more modest wording such as “underlying instructional factors.”

Response

We agree. The previous use of the term “critical root causes” implied a formal root-cause analysis that was not actually conducted using a structured procedure such as five-whys, fishbone analysis, or qualitative coding.

We have therefore replaced this terminology with “underlying instructional factors” where appropriate. We have also removed “critical root causes” from the stated aims and revised the research questions accordingly.

The revised analysis focuses on identifying empirical findings, the evidence supporting those findings, the corresponding instructional requirements, and their preliminary implications for DIF-PBL design. This better reflects the actual analytical procedure used in the study.

Changes in manuscript: Abstract, Introduction, Results synthesis, Table 2, Discussion, and Conclusion.

Comment 5. The design requirements cannot be clearly traced back to the data

The synthesis lists four requirements, while the abstract and conclusion list seven components. Peer tutoring and adaptive assessment in particular seem thinly supported...

Response

Thank you. We agree that the previous manuscript did not provide sufficient traceability between individual empirical findings and the proposed design implications.

To address this issue, we have added a new Table 2, “Traceability from empirical findings to preliminary instructional requirements and DIF-PBL design implications.” The table explicitly connects:

Empirical finding → Evidence source → Instructional requirement → Proposed DIF-PBL implication.

For example, the reported difficulty with abstract numeracy (Item 3 and the illustrative observations) is linked to the requirement for gradual conceptual progression and the preliminary implication of a Concrete–Pictorial–Abstract (CPA) sequence and scaffolding. Similarly, Item 4 directly informs the preliminary requirement for adaptive assessment.

We have also revised our terminology. Rather than presenting all resulting elements as “empirically established components” of DIF-PBL, we now refer to them as preliminary instructional requirements or preliminary design implications derived from the needs assessment.

We agree specifically regarding peer tutoring. Because no questionnaire item directly assessed the need for peer tutoring, it is no longer presented as a directly established empirical requirement. Where peer tutoring is discussed, it is framed as a possible implementation strategy rather than a direct finding of the needs assessment.

Changes in manuscript: New Table 2 and corresponding revisions to the Abstract, Results, Discussion, and Conclusion.

Comment 6. Some questionnaire items are leading or circular

“Development of the DIF-PBL model is urgently needed” names the authors' own model... The 93–95% urgency scores are therefore open to acquiescence bias... the authors are also the model's developers.

Response

We appreciate this important methodological observation and agree that several items require cautious interpretation.

In the revised manuscript, we explicitly acknowledge the potential for acquiescence and framing bias, particularly for Items 11–13, which directly refer to the need for an integrated PBL–differentiation model, an operational guidebook, and the urgency of developing DIF-PBL. We also acknowledge that Item 10 embeds the concrete–pictorial–symbolic progression within the questionnaire statement and therefore should not be interpreted as an independent empirical discovery of CPA.

The corresponding Results and Discussion sections have been revised so that these items are interpreted as teachers’ perceived needs, rather than independent evidence establishing the superiority or effectiveness of the proposed model.

We have also added the researchers’ dual role as developers of the DIF-PBL model as a limitation. This is now discussed alongside the small sample, the limited number of schools, and the exploratory nature of the needs assessment.

Changes in manuscript: Methods, Results, Limitations, and Conclusion.

Comment 7. Insufficient methodological detail

It would help to see: the actual Cronbach's alpha... quantitative expert-validation results... full wording... number of schools... teacher characteristics... recruitment.

Response

We thank the reviewer for this suggestion. The Methods section has been expanded to improve methodological transparency and reproducibility.

First, the revised manuscript now reports the internal-consistency analysis. The overall 13-item questionnaire yielded Cronbach’s α ≈ 0.79. Dimension-level coefficients were approximately 0.65 for Dimension 1, 0.58 for Dimension 2, 0.18 for Dimension 3, and 0.00 for Dimension 4. Because the questionnaire was administered to only 20 respondents and each dimension contains only a small number of items, we now explicitly describe these coefficients as exploratory and unstable estimates, rather than as evidence of an established psychometric scale.

Second, we have clarified the content-validation procedure. The 13-item questionnaire was reviewed by three experts with relevant expertise in mathematics education and inclusive education, and content validity was assessed using Aiken’s V. All 13 items exceeded the predetermined minimum criterion and were therefore retained as valid for the needs assessment.

Third, the complete questionnaire is already openly available in the research repository associated with the study, together with the anonymized responses from the 20 teachers. We have added an explicit statement directing readers to the repository rather than duplicating the complete instrument in an appendix.

Fourth, the study setting has been clarified as three inclusive elementary schools in Tellu Siattinge District, Bone Regency, South Sulawesi, Indonesia. The three schools were selected purposively because they were inclusive schools serving learners with diverse educational needs and were the designated sites for the broader R&D project.

Finally, we have clarified that the questionnaire respondents consisted of 20 classroom teachers and Special Education Support Teachers (GPK) involved in inclusive elementary education. We have avoided introducing teacher characteristics such as years of experience or grade taught where these were not systematically recorded in the dataset used for this article.

Changes in manuscript: Sections 2.2–2.3, Data Availability Statement, and Limitations.

Comment 8. Student observations are under-described

Please tell us the grade level, type of SEN and how it was identified, how “slow learner” was defined, what tasks were used, how many sessions there were and how long they lasted, who observed, and whether a rubric was used. With n = 3, these read best as illustrative cases...

Response

We agree that the observations should be presented more cautiously and transparently.

The revised manuscript now explicitly describes these observations as illustrative student cases, not as evidence from which population-level disparities can be generalized. The observations involved three learner profiles—a regular student, a slow learner, and a student with special educational needs—and focused on four areas: contextual problem solving, mathematical representation, instructional support required, and classroom participation. The structured observation instrument used a four-point rating scale ranging from very limited to independent and included observer notes.

The observation materials are openly available in the research repository together with anonymized observation summaries for the three learner profiles. The observation task consisted of contextual numeracy problems, with attention to students’ ability to identify relevant information, select solution strategies, complete problem-solving steps, use concrete/pictorial/symbolic representations, and participate in classroom activities.

We have also revised the manuscript to avoid presenting these three observations as evidence of general disparities. Instead, they are used to illustrate the types of learner differences and instructional support needs that were relevant to the needs-assessment phase.

Where information such as formal diagnostic identification, exact observation duration, or detailed individual student characteristics was not systematically recorded in the needs-assessment dataset, we have avoided reconstructing or inferring such information retrospectively.

Changes in manuscript: Section 2.3, Section 3.5, Discussion, Limitations, and Data Availability Statement.

Small points

Comment 9. Some citations do not support the claims

Yeh et al. (2019)... Evains et al. (2024)... Foundational sources such as Tomlinson, Sweller, Vygotsky and CAST/UDL would be better cited directly, and the AKM data should be updated.

Response

We agree and have conducted a citation audit of the Introduction and Discussion. Citations that did not directly support the associated claims have been removed or replaced where appropriate. The revised manuscript also gives greater emphasis to foundational literature for differentiated instruction and instructional adaptation, rather than relying solely on secondary sources.

Claims concerning national numeracy performance have also been revised so that they are supported by appropriate and up-to-date sources. We have avoided using sources from unrelated disciplinary contexts to support claims about inclusive numeracy learning.

Changes in manuscript: Introduction and Discussion.

Comment 10. Section 3 is titled “Results and discussion,” while Section 4 is already Discussion

Response

Agreed. Section 3 has been retitled “Results” to provide a clear separation between the empirical findings and the subsequent interpretation in Section 4, “Discussion.”

Changes in manuscript: Section headings.

Comment 11. Terms such as “comprehensive,” “evidence-based,” and “replicable framework” overstate the evidence

Response

We agree and have moderated these claims throughout the manuscript. In particular, terms such as “comprehensive,” “evidence-based,” and “replicable framework” have been replaced or qualified where they could imply a stronger evidentiary basis than is supported by 20 teacher responses and three illustrative student observations.

The revised manuscript now describes the study as an exploratory needs assessment and refers to the resulting instructional implications as preliminary design implications rather than validated model components.

Changes in manuscript: Abstract, Introduction, Results, Discussion, and Conclusion.

Comment 12. Typos, formatting, and CRediT roles

Response

Thank you. We have carefully proofread the revised manuscript and corrected the identified typographical and formatting issues, including the duplicated “The The,” the formatting of the “Dr. Ranbir” citation, the double comma in the first affiliation, and inconsistencies in the CRediT author-contribution statements.

Changes in manuscript: References, author information, and CRediT statement.

Comment 13. Please share raw observation records and a codebook

Response

We agree with the importance of transparency for the observation data. The revised Data Availability Statement identifies the repository containing the structured classroom observation instrument and anonymized observation summaries for the three learner profiles. The observation instrument specifies the rating scale, indicators, observer notes, and domains used in the observations.

Because the observations involve only three identifiable learner profiles in specific inclusive school contexts, we have taken care to remove direct participant identifiers. We have also clarified in the manuscript that these observations are illustrative rather than generalizable evidence.

Important: if the reviewer specifically requires the raw observation records and a separate codebook, we recommend uploading those materials to the existing observation repository before final submission, provided they can be adequately anonymized. We should not claim that raw records have been shared if the repository currently contains only the instrument and observation summaries.

Overall response

We appreciate the reviewer’s overall assessment that the study provides a useful exploratory foundation and that the principal issues can be addressed without collecting new data. The revised manuscript substantially narrows the claims to match the evidence available in this initial needs-assessment phase. In particular, the revised version no longer treats the study as a convergent parallel mixed-methods study, no longer interprets transformed Likert scores as percentages of teachers, and no longer presents all proposed DIF-PBL elements as empirically established components.

The revised manuscript instead positions the study as a descriptive needs assessment that translates teacher-reported instructional needs and illustrative classroom observations into preliminary instructional requirements for the subsequent development of DIF-PBL. We believe these changes improve the transparency, methodological alignment, and evidentiary basis of the manuscript.

F1000Res. 2026 Sep 24. doi: 10.5256/f1000research.207432.r518282

Reviewer response for version 1

Harlinda Syofyan 1

A needs assessment forming the initial phase of developing the DIF-PBL model: 20 inclusive elementary teachers completed a 13-item, four-point Likert questionnaire, and three students with different learner profiles were observed. The topic is relevant, the manuscript is well organised, and the data are shared openly.

However, there are issues in the reporting of methods, the calculation of percentages and the interpretation of results. 

​​​​​​Must Be Addressed

1. Figure 4 contradicts the text. Figure 4 labels the item “difficulty in implementing differentiated instruction” (66.25%), while Section 3.3 reads it as “only 66.25% indicated confidence”. Check the original item wording in the dataset and correct one of them; the dimension mean of 81.67% is affected too.   [Figure 4, p. 8; Section 3.3, p. 9]

2. The percentage metric is mislabelled. Values such as 87.50% are impossible as proportions of 20 teachers (= 17.5 persons) and appear to be normalised Likert scores. State the formula, retitle Figures 2–5, rephrase the text accordingly, and report item means, SDs and actual frequencies.   [Figures 2–5, pp. 7–9; Sections 3.1–3.4; Section 2.4, p. 6]

3. The mixed-methods claim is overstated. No qualitative teacher data (interviews, FGD, open items) are reported; the only qualitative strand is the observation of three students, and Section 2.3 announces three techniques while describing two. Either report the teacher qualitative data or relabel the design as a descriptive survey with illustrative case observations.   [Sections 2.1 and 2.3, pp. 5–6; Section 3.5, p. 10; Abstract]

4. Psychometric evidence is incomplete. Report the actual Cronbach’s alpha (per dimension, noting that n = 20 makes it unstable), quantitative expert-validation results (CVI or Aiken’s V), and the full wording of all 13 items as an appendix.   [Section 2.3, p. 6]

5. Questionnaire items are leading. The item “development of DIF-PBL is urgently needed” names the authors’ own model, and the item on “gradual concrete–pictorial–symbolic media” is essentially CPA, which is later presented as an empirical finding. Acknowledge the acquiescence bias and this circularity in the Limitations.   [Figures 4–5, pp. 8–9; Section 4.3, p. 14]

6. Root causes and traceability. The “Critical Root Cause” column restates the findings with no analytical procedure; describe the procedure or rename the column, add a traceability table (finding → requirement → component), and reconcile the four requirements in Section 3.6 with the seven components in the Abstract (peer tutoring and adaptive assessment are not supported by the data).   [Table 1, pp. 12–13; Section 3.6, p. 10; Abstract; Figure 6, p. 11]

7. Student observations are under-reported. Specify grade level, the type of SEN and how it was identified, the definition of “slow learner”, the numeracy tasks, the number and duration of sessions, the observers and any rubric; with n = 3, present these as illustrative cases rather than evidence of disparities.   [Sections 2.2–2.3, p. 6; Section 3.5, p. 10]

8. Sampling lacks detail. Report the number of schools and the selection criteria, teacher characteristics (grade taught, experience, training in inclusive education or DI, number and type of SEN students) and how the teachers were recruited.   [Section 2.2, p. 6]

Suggested

9. Check the citations. Several references do not support their claims (Yeh et al. 2019 for Indonesian data; Evains et al. 2024 for SEN and cognitive load; Moriña 2017 for primary school; Zeng et al. 2024 for group dominance; Wadsworth 1995 listed as the wrong source type). Add foundational sources (Tomlinson, Sweller, Bruner, Vygotsky, CAST/UDL), update the AKM data, and review existing Indonesian studies combining PBL and differentiated instruction.   [Introduction, pp. 3–4; Sections 4.1–4.3, pp. 11–15; References, pp. 17–19]

10. Structure. Rename Section 3 “Results”, since Section 4 is already the Discussion, and add a research question covering the “critical root causes” named in the aims.   [Section 3 heading, p. 7; research questions, p. 5]

11. Tone down the conclusions. “Comprehensive”, “evidence-based” and “replicable framework” go beyond what 20 perception questionnaires and three observations support; add self-report bias and the researchers’ dual role as model developers to the Limitations.   [Sections 4.5–4.6, p. 15; Conclusion, pp. 15–16]

12. Data and minor points. Share the raw observation records and a codebook, not only summaries; fix “The The”, the “Dr. Ranbir” citation format, the double comma in affiliation 1, and complete the CRediT roles.   [Data availability, p. 16; References, pp. 17–18; affiliation 1, p. 1; author roles, p. 2]

A useful exploratory foundation. Points 1–8 need to be resolved before the conclusions can be considered adequately supported, and none of them requires new data collection unless the authors choose to report teacher qualitative data (point 3). No competing interests were disclosed.

Is the work clearly and accurately presented and does it cite the current literature?

Partly

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Partly

Is the study design appropriate and is the work technically sound?

Partly

Are the conclusions drawn adequately supported by the results?

Partly

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

Education

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

F1000Res. 2026 Oct 1.
Mentari Rama Putri 1

We sincerely thank the reviewer for the careful and detailed evaluation of our manuscript. We appreciate the recognition of the relevance of the topic, the organization of the manuscript, and the transparency of the shared research materials. We have carefully addressed all of the comments and substantially revised the manuscript to improve methodological clarity, statistical reporting, traceability between empirical findings and design implications, and the appropriate scope of the conclusions.

We respond to each point below.

Comment 1. Figure 4 contradicts the text

Figure 4 labels the item “difficulty in implementing differentiated instruction” (66.25%), while Section 3.3 reads it as “only 66.25% indicated confidence”. Check the original item wording in the dataset and correct one of them; the dimension mean of 81.67% is affected too.

Response

We agree with the reviewer. The original interpretation of Item 8 was incorrect.

The original questionnaire item concerns teachers’ difficulty in implementing differentiated instruction technically, rather than teachers’ confidence in implementing differentiated instruction. We have therefore corrected the interpretation throughout the manuscript.

In the revised analysis, Item 8 has a mean score of 3.85? [DO NOT use this—see note below], and the response distribution is reported directly rather than through the previous transformed percentage. Specifically, 15 respondents selected Score 3 and one respondent selected Score 4, resulting in 80% of respondents selecting Scores 3–4. The four respondents selecting Score 2 are also reported explicitly.

The previous figure has been removed, and the Results section now interprets Item 8 as evidence of a perceived implementation difficulty, rather than teacher confidence.

Changes made: Section 3.3 and new Table 1.

Important correction: For Item 8 the correct mean is M = 2.85, SD = 0.49, not 3.85. 

Comment 2. The percentage metric is mislabelled

Values such as 87.50% are impossible as proportions of 20 teachers... State the formula, retitle Figures 2–5, rephrase the text accordingly, and report item means, SDs and actual frequencies.

Response

Thank you for highlighting this issue. We agree that the previous presentation could lead readers to interpret the transformed values as percentages of teachers, which was not appropriate.

Rather than retaining the previous transformed percentage presentation, we have removed Figures 2–5 and replaced them with a new item-level descriptive statistics table (Table 1). The revised table reports:

  1. item mean;

  2. standard deviation;

  3. frequency of Scores 1–4; and

  4. the proportion of respondents selecting Scores 3–4.

This presentation allows the reader to directly examine the distribution of the 20 teachers’ responses.

The Results section has also been rewritten so that transformed values such as 87.50%, 91.25%, and 93.75% are no longer described as the “percentage of teachers agreeing.” The revised manuscript distinguishes clearly between Likert-score descriptive statistics and actual response proportions.

Changes made: Section 2.4, new Table 1, and Sections 3.1–3.4. Figures 2–5 have been removed.

Comment 3. The mixed-methods claim is overstated

No qualitative teacher data are reported... Either report the teacher qualitative data or relabel the design as a descriptive survey with illustrative case observations.

Response

We agree with the reviewer. The present article does not report interviews, focus groups, or open-ended teacher responses. The primary data source is the 13-item teacher questionnaire, complemented by structured observations of three students.

Accordingly, we have removed the terminology “mixed-methods convergent parallel design” and no longer characterize the study as a convergent parallel mixed-methods study.

The revised manuscript describes the study as a descriptive needs assessment within the initial phase of a broader Research and Development project, complemented by illustrative student observations.

The student observations are now explicitly positioned as contextual and illustrative rather than as an independent qualitative strand used to establish methodological triangulation.

We have also corrected the description in Section 2.3 so that it refers to the two actual data-collection approaches: questionnaire administration and structured student observation.

Changes made: Abstract, Sections 2.1–2.3, Results, Discussion, and Conclusion.

Comment 4. Psychometric evidence is incomplete

Report the actual Cronbach’s alpha (per dimension, noting that n = 20 makes it unstable), quantitative expert-validation results (CVI or Aiken’s V), and the full wording of all 13 items as an appendix (repisitory).

Response

We appreciate this important suggestion.

The revised manuscript now reports the internal-consistency analysis. The overall 13-item questionnaire yielded Cronbach’s α = 0.79. The dimension-level coefficients were approximately:

  • Dimension 1: α = 0.65

  • Dimension 2: α = 0.58

  • Dimension 3: α = 0.18

  • Dimension 4: α = 0.00

Because the questionnaire was administered to only 20 respondents and the dimensions contain only a small number of items, we now explicitly characterize these coefficients as exploratory and potentially unstable estimates rather than as evidence of a fully established psychometric instrument.

The questionnaire was also reviewed by three experts with relevant expertise in mathematics education and inclusive education. Content validity was assessed using Aiken’s V. All 13 items obtained Aiken’s V values above the predetermined minimum criterion and were therefore retained as valid.

Regarding the complete questionnaire wording, the full 13-item instrument is already openly available in the research repository associated with the study. We have therefore added an explicit statement directing readers to the repository rather than duplicating the instrument in an appendix.

Changes made: Section 2.3, Data Availability Statement, and repository description.

Comment 5. Questionnaire items are leading

The item “development of DIF-PBL is urgently needed” names the authors’ own model... Acknowledge acquiescence bias and this circularity in the Limitations.

Response

We agree with this methodological concern.

The revised manuscript now explicitly acknowledges that some questionnaire items are potentially leading or circular. In particular, Items 11–13 directly refer to the need for an integrated instructional model, an operational teacher guide, and the urgency of developing DIF-PBL. We also acknowledge that Item 10 incorporates the concrete–pictorial–symbolic progression directly into the questionnaire statement.

Consequently, these responses are now interpreted as teachers’ perceived needs, rather than as independent empirical evidence establishing the effectiveness, superiority, or necessity of the proposed DIF-PBL model.

We have also added acquiescence/framing bias to the limitations and explicitly acknowledged the researchers’ dual role as developers of the DIF-PBL model, which may have influenced questionnaire framing and interpretation.

Changes made: Results, Section 4 (Limitations), and Conclusion.

Comment 6. Root causes and traceability

The “Critical Root Cause” column restates the findings... describe the procedure or rename the column, add a traceability table, and reconcile the four requirements with the seven components...

Response

We agree with the reviewer.

The previous term “Critical Root Cause” suggested that a formal root-cause analysis had been conducted, although no such procedure was used. We have therefore replaced this terminology with “Underlying Instructional Factors” and removed claims implying formal causal analysis.

We have also added a new Table 2: “Traceability from empirical findings to preliminary instructional requirements and DIF-PBL design implications.”

The revised table explicitly maps:

Empirical finding → Evidence source → Instructional requirement → Proposed DIF-PBL implication.

This makes the relationship between the data and the subsequent design implications transparent.

We have also clarified the distinction between the four questionnaire dimensions and the subsequent design implications. The four dimensions represent what was assessed in the questionnaire; they are not equivalent to the final design components.

Furthermore, we agree that peer tutoring was not directly supported by a specific questionnaire item. It is therefore no longer presented as an empirically established requirement. If discussed, it is framed only as a possible implementation strategy.

Adaptive assessment is treated differently because it is directly related to Item 4, which addresses the perceived inadequacy of current assessment instruments in accommodating differences in cognitive ability. Nevertheless, it is presented as a preliminary design implication, not as a validated DIF-PBL component.

Changes made: Table 2, Abstract, Results, Discussion, and Conclusion.

Comment 7. Student observations are under-reported

Specify grade level, type of SEN and how it was identified, definition of “slow learner”, numeracy tasks, sessions, observers and rubric; with n = 3, present these as illustrative cases.

Response

We agree that the observations require more cautious and transparent reporting.

The revised manuscript now explicitly describes the three observations as illustrative cases, rather than evidence from which population-level disparities can be inferred.

The structured observation instrument covered four areas:

  1. contextual problem solving;

  2. mathematical representation, including concrete–pictorial–symbolic representation;

  3. instructional support required; and

  4. classroom participation.

The instrument used a four-point scale ranging from 1 = Very Limited to 4 = Independent, with observer notes for each indicator.

The students represented three learner profiles: a regular student, a slow learner, and a student with special educational needs. The observations involved contextual numeracy tasks and focused on students’ approaches to problem solving, use of mathematical representations, instructional support requirements, and participation.

Where detailed information such as formal diagnostic procedures, exact duration of each observation session, or formal classification criteria for “slow learner” was not systematically recorded in the dataset used for this article, we have not attempted to reconstruct or infer these details retrospectively. Instead, these limitations are now acknowledged explicitly, and the observations are treated as illustrative rather than generalizable evidence.

Changes made: Sections 2.2–2.3, Section 3.5, Discussion, and Limitations.

Comment 8. Sampling lacks detail

Report the number of schools and selection criteria, teacher characteristics... and how the teachers were recruited.

Response

Thank you. We have expanded the participant and setting description.

The revised manuscript specifies that the needs assessment involved three inclusive elementary schools. The schools were purposively selected because they implemented inclusive education in which regular students and students with special educational needs learned together in the same classrooms.

The teacher questionnaire was completed by 20 teachers, consisting of classroom teachers and Special Education Support Teachers (GPK) involved in inclusive education.

We have avoided adding teacher characteristics such as years of teaching experience, grade taught, specific inclusive-education training, or the exact number and type of SEN students when these characteristics were not systematically recorded in the dataset available for this article. Rather than inventing or retrospectively estimating these characteristics, the revised manuscript identifies their absence as a methodological limitation.

Teacher participation was based on their direct involvement in teaching mathematics/numeracy in the participating inclusive classrooms.

Changes made: Section 2.2 and Limitations.

Comment 9. Check the citations

Several references do not support their claims... Add foundational sources and update AKM data.

Response

We agree and have conducted a citation audit throughout the manuscript. The revised Introduction and Discussion have been checked to ensure that cited sources directly support the claims for which they are cited. In particular, we have reviewed the references concerning:

  • inclusive numeracy education;

  • Problem-Based Learning;

  • differentiated instruction;

  • learners with special educational needs;

  • cognitive load and instructional scaffolding; and

  • mathematical representation.

Where appropriate, foundational sources have been used directly rather than relying on secondary sources to support foundational theoretical claims. We have also reviewed the source used for national numeracy/AKM data and updated the relevant evidence where appropriate. References that did not directly support the associated claim have been removed or replaced.

Changes made: Introduction, Discussion, and References.

Comment 10. Structure

Rename Section 3 “Results”... and add a research question covering the “critical root causes.”

Response

We agree with the first part of this comment. Section 3 has been renamed “Results”, while Section 4 remains “Discussion.”

Regarding the proposed research question concerning “critical root causes,” we have not added a separate research question because the term has been removed from the manuscript. As noted above, the study did not conduct a formal root-cause analysis.

Instead, the revised research questions focus on:

  1. current conditions of numeracy learning;

  2. challenges in implementing conventional PBL;

  3. challenges in implementing differentiated instruction; and

  4. preliminary instructional requirements emerging from the needs assessment.

This revised structure better corresponds to the actual design and analysis of the study.

Changes made: Research Questions and Section 3 heading.

Comment 11. Tone down the conclusions

“Comprehensive”, “evidence-based” and “replicable framework” go beyond what 20 perception questionnaires and three observations support; add self-report bias and the researchers’ dual role as model developers to the Limitations.

Response

We agree. The revised manuscript has systematically moderated claims that could imply a stronger evidentiary basis than is warranted by the sample and exploratory design. Terms such as “comprehensive,” “evidence-based,” and “replicable framework” have been removed or qualified where appropriate.

The conclusion now emphasizes that the needs assessment provides an empirical starting point and preliminary instructional basis for subsequent DIF-PBL development, rather than evidence of model effectiveness or superiority. We have also expanded the limitations to explicitly acknowledge:

  • the small sample of 20 teachers;

  • the three-school and single-district setting;

  • reliance on teacher self-report data;

  • potential acquiescence and framing bias in some questionnaire items;

  • the limited number of student observations;

  • the absence of a formal qualitative teacher strand; and

  • the researchers’ dual role as developers of the DIF-PBL model.

Changes made: Sections 4.5–4.6 and Conclusion.

Comment 12. Data and minor points

Share the raw observation records and a codebook, not only summaries; fix “The The”, the “Dr. Ranbir” citation format, the double comma in affiliation 1, and complete the CRediT roles.

Response

We appreciate these detailed comments. The typographical and formatting issues identified by the reviewer have been corrected, including:

  • the duplicated “The The”;

  • the formatting of the “Dr. Ranbir” reference;

  • the double comma in affiliation 1; and

  • incomplete CRediT roles.

Regarding the observation data, the structured observation instrument and anonymized observation summaries are already available in the research repository. The observation instrument specifies the indicators, four-point rating scale, and observer-note structure. Because the observations involve only three students in specific school contexts, participant confidentiality was considered when preparing the shared materials. We have therefore ensured that identifying information is removed. 

Changes made: Data Availability Statement, repository materials, References, affiliation, and CRediT statement.

Overall response

We thank the reviewer for the constructive assessment and for recognizing the manuscript as a useful exploratory foundation for the subsequent development of the DIF-PBL model.

In response to the review, we have substantially revised the manuscript to improve the alignment between the research design, data, analysis, and conclusions. In particular, we have:

  1. corrected the interpretation of Item 8;

  2. replaced the previous transformed percentage figures with item-level means, SDs, and actual response frequencies;

  3. removed the overstated mixed-methods/convergent-parallel terminology;

  4. reported the exploratory reliability analysis and clarified the questionnaire validation procedure;

  5. acknowledged leading-item and acquiescence-bias concerns;

  6. replaced “critical root causes” with more cautious terminology;

  7. added a finding-to-requirement-to-design traceability table;

  8. clarified the status of peer tutoring and adaptive assessment as design implications rather than uniformly empirically established components;

  9. clarified the role and limitations of the three student observations;

  10. expanded the description of the participating schools and teachers where the available data permit; and

  11. moderated the conclusions and explicitly acknowledged self-report and researcher-role limitations.

The revised manuscript therefore positions the study more precisely as a descriptive needs assessment within the initial phase of a broader Research and Development project, with the resulting findings serving as a preliminary empirical basis for subsequent DIF-PBL design, validation, and effectiveness testing.

F1000Res. 2026 Sep 12. doi: 10.5256/f1000research.207432.r518276

Reviewer response for version 1

Andi Hasdiansyah 1

Overall assessment

The manuscript addresses a relevant and timely issue in inclusive numeracy education and provides a useful empirical foundation for the subsequent development of the DIF-PBL model. The progression from classroom needs assessment to instructional design requirements is logical, and the manuscript is generally clearly written and well organized. The use of teacher survey data complemented by observations of different learner profiles is appropriate for an exploratory needs-assessment study forming the initial stage of a broader Research and Development project.

The manuscript also demonstrates good transparency by providing the questionnaire, anonymized teacher-response data, observation instrument, and observation summaries through an open repository.

I have several points that should be addressed to improve methodological transparency and precision, but these do not, in my view, require substantial redesign of the study or additional data collection.

First, the calculation and interpretation of the percentages presented in Figures 2–5 should be clarified. With 20 respondents, percentages such as 83.75%, 91.25%, and 93.75% cannot directly represent proportions of teachers. These values appear more likely to represent normalized Likert scores. The authors should clearly state the calculation formula and revise figure labels and textual interpretations where necessary.

Second, some additional methodological details would improve reproducibility. Please report the exact reliability coefficient for the needs-assessment questionnaire, provide slightly more information regarding participant and school selection, clarify how the three student profiles were identified, and describe the procedure used to integrate questionnaire and observational evidence.

Third, the term critical root cause should either be methodologically explained or replaced with more cautious terminology such as “underlying instructional factors” if a formal causal-analysis procedure was not undertaken.

Fourth, the relationship between the four broader design requirements described in the synthesis and the seven specific DIF-PBL components identified elsewhere should be clarified. A short mapping or explanatory paragraph would be sufficient.

Finally, several references and citation details should be checked for accuracy and relevance, particularly where cited studies are used to support specific claims concerning inclusive numeracy, Problem-Based Learning, and learners with special educational needs.

These revisions would improve the precision, transparency, and reproducibility of an otherwise useful exploratory study. I therefore consider the manuscript suitable for indexing after these relatively limited revisions are satisfactorily addressed.

Is the work clearly and accurately presented and does it cite the current literature?

Partly

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

Education

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

F1000Res. 2026 Oct 1.
Mentari Rama Putri 1

We sincerely thank the reviewer for the positive and constructive evaluation of our manuscript. We appreciate the recognition of the relevance of the topic, the logical progression from needs assessment to instructional design, and the transparency of the study materials through the open repository. We have carefully considered all of the reviewer’s comments and revised the manuscript to improve methodological precision, transparency, and reproducibility. Our responses are provided below.

Comment 1. Clarification of the percentages in Figures 2–5

The calculation and interpretation of the percentages presented in Figures 2–5 should be clarified. With 20 respondents, percentages such as 83.75%, 91.25%, and 93.75% cannot directly represent proportions of teachers. These values appear more likely to represent normalized Likert scores. The authors should clearly state the calculation formula and revise figure labels and textual interpretations where necessary.

Response

Thank you for highlighting this issue. We agree that the previous presentation could lead readers to interpret the reported values as proportions of teachers, which was not appropriate.

To address this concern, we have removed Figures 2–5 and replaced them with a new item-level descriptive statistics table (Table 1). The revised table reports the mean, standard deviation, actual frequencies for Scores 1–4, and the proportion of respondents selecting Scores 3–4.

The Results section has also been revised throughout. The previous wording referring to values such as 83.75% or 93.75% as the “percentage of teachers agreeing” has been removed. The revised manuscript now distinguishes between descriptive Likert-score statistics and actual response proportions. This allows readers to directly verify the findings from the response frequencies.

Changes made: Results section and new Table 1.

Comment 2. Additional methodological details

Please report the exact reliability coefficient for the needs-assessment questionnaire, provide slightly more information regarding participant and school selection, clarify how the three student profiles were identified, and describe the procedure used to integrate questionnaire and observational evidence.

Response

We appreciate this suggestion and have expanded the Methods section accordingly.

First, the internal consistency of the 13-item questionnaire was examined using Cronbach’s alpha. The overall questionnaire yielded α = 0.79. The dimension-level coefficients were approximately 0.65, 0.58, 0.18, and 0.00, respectively. Given the small sample size ( n = 20) and the small number of items within each dimension, we now explicitly characterize these dimension-level coefficients as exploratory and unstable estimates rather than as evidence of an established psychometric scale.

Second, we have clarified the participant and site selection. The study involved 20 classroom teachers and Special Education Support Teachers (GPK) involved in inclusive elementary education. The research sites were purposively selected because they implemented inclusive education in which regular students and students with special educational needs learned together in the same classrooms.

Third, the three student profiles were selected purposively to provide illustrative contrasts in learner characteristics: one regular student, one slow learner, and one student with special educational needs. The observation instrument was designed to document differences in contextual problem solving, mathematical representation, instructional support required, and classroom participation.

Finally, we have clarified the procedure used to integrate the two sources of evidence. Questionnaire data were first analyzed descriptively to identify recurring teacher-reported instructional needs. Student observations were then analyzed descriptively across the three learner profiles. The two evidence sources were subsequently compared to identify recurring instructional issues, which were mapped to preliminary instructional requirements and design implications. We have revised the manuscript to describe this as an evidence-integration/traceability process, rather than overstating it as a formal mixed-methods triangulation design.

Changes made: Sections 2.1–2.4, Results synthesis, and Table 2.

Comment 3. Use of the term “critical root cause”

The term critical root cause should either be methodologically explained or replaced with more cautious terminology such as “underlying instructional factors” if a formal causal-analysis procedure was not undertaken.

Response

We agree with the reviewer. The previous use of “critical root cause” implied that a formal causal-analysis procedure had been conducted, which was not the case.

We have therefore replaced the term “critical root cause” with “underlying instructional factors” and removed references to formal root-cause analysis from the research aims and results synthesis.

The revised analysis now focuses on the relationship between the empirical findings, evidence sources, instructional requirements, and preliminary DIF-PBL design implications. This terminology more accurately reflects the descriptive and exploratory nature of the present study.

Changes made: Introduction, Results synthesis, Table 2, Discussion, and Conclusion.

Comment 4. Relationship between four broader requirements and seven DIF-PBL components

The relationship between the four broader design requirements described in the synthesis and the seven specific DIF-PBL components identified elsewhere should be clarified. A short mapping or explanatory paragraph would be sufficient.

Response

Thank you for identifying this inconsistency. We agree that the previous manuscript did not sufficiently distinguish between the four questionnaire dimensions, the instructional requirements emerging from the findings, and the specific design implications subsequently considered for DIF-PBL.

We have addressed this issue by adding a new Table 2, “Traceability from empirical findings to preliminary instructional requirements and DIF-PBL design implications.” The table explicitly maps each empirical finding to its evidence source, corresponding instructional requirement, and proposed design implication.

For example, differences in numeracy readiness identified through Items 1–3 and the illustrative observations are linked to the requirement for differentiated learning pathways and, subsequently, to tiered learning tasks. Similarly, Item 4 concerning the limited accommodation of learner differences in assessment informs the preliminary requirement for adaptive assessment and differentiated formative assessment.

We have also revised the wording throughout the manuscript so that these are presented as preliminary instructional requirements and design implications, rather than as seven empirically validated DIF-PBL components.

Importantly, the four dimensions of the questionnaire are now clearly distinguished from the resulting design implications. The four dimensions describe what was assessed, whereas the design implications describe how the findings may inform subsequent model development.

Changes made: Results synthesis, new Table 2, Discussion, Abstract, and Conclusion.

Comment 5. References and citation accuracy

Several references and citation details should be checked for accuracy and relevance, particularly where cited studies are used to support specific claims concerning inclusive numeracy, Problem-Based Learning, and learners with special educational needs.

Response

We agree and have conducted a citation audit of the manuscript.

The revised Introduction and Discussion now place greater emphasis on references that directly support the claims being made. Citations that did not adequately support specific statements concerning inclusive numeracy, Problem-Based Learning, differentiated instruction, or learners with special educational needs have been reviewed and replaced or removed where appropriate.

We have also strengthened the use of foundational literature where appropriate, rather than relying exclusively on recent studies that may provide only indirect support for theoretical claims. Claims concerning the relevance of PBL, differentiated instruction, and learner diversity are now more carefully aligned with the scope of the cited evidence.

Changes made: Introduction, Discussion, and reference list.

Closing response

We thank the reviewer for the constructive assessment and for recognizing the manuscript as a useful exploratory foundation for the subsequent development of DIF-PBL. In response to the comments, we have clarified the statistical presentation, expanded methodological reporting, replaced the unsupported “critical root cause” terminology, added a traceability framework linking empirical findings to preliminary design implications, and conducted a citation audit.

These revisions also clarify the scope of the study: the present article reports a descriptive needs assessment as the initial phase of a broader Research and Development project, rather than an evaluation of the effectiveness of the DIF-PBL model. We believe the revisions have improved the methodological transparency, precision, and reproducibility of the manuscript.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Availability Statement

    The data supporting the findings of this study are available in figshare:

    This repository contains the teacher needs analysis questionnaire, anonymized raw responses from 20 participating teachers, and the descriptive data used to generate the quantitative findings reported in this study.

    This repository contains the structured classroom observation instrument together with anonymized observation summaries for the three learner profiles (regular student, slow learner, and student with special educational needs) used during the initial needs assessment.

    All datasets have been anonymized to protect participant confidentiality. Data are available under the terms of the Creative Commons Attribution 4.0 International (CC-BY 4.0) license.


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