Abstract
This systematic literature review aimed to provide updated information on lifelong learning in educational research by examining theoretical documents and empirical papers from 2000 to 2022. This review sought to identify concepts, theories, and research trends and methods linked to lifelong learning in educational research in different countries. Our review findings showed that theoretical papers, such as reports, policies, and concepts of lifelong learning, are generally much more extensive than empirical studies. Word cloud analysis revealed that the most prominent concepts were lifelong learning skills, lifelong learning competencies, and the three types of lifelong learning (formal, nonformal, and informal). Following the inductive analysis, this study investigated three common research trends: conceptual framework or policies of lifelong learning, lifelong learning abilities, and influencing factors of lifelong learning and/or lifelong learning abilities. Regarding methodology, this study identified only three studies that used mixed methods, which is insufficient in the field. In addition, heterogeneity was also observed between research instruments in lifelong learning. Different data analysis techniques can be applied in this field, including content analysis, descriptive analysis, and inferential analysis. Finally, the participants involved in the examined studies were students, primary and secondary school teachers, undergraduates, postgraduates, student teachers, European Union Lifelong Learning experts, young adults, teacher educators, administrators, and academic staff.
Keywords: Lifelong learning, Lifelong learning skills, Lifelong learning competencies, Systematic literature review
Introduction
Lifelong learning is a broad term whose definitions have common meanings and which has been explained by organizations such as the European Commission, the United Nations Educational, Scientific and Cultural Organization (UNESCO), and the Organization for Economic Cooperation and Development (OECD).
The European Commission (2001) defines lifelong learning as any intentional learning activities conducted throughout a person’s lifetime to improve their knowledge, skills, and competencies from an individual, municipal, societal, and/or career standpoint. From this conventional definition, a more robust definition of lifelong learning emerged—that is, lifelong learning refers to all processes that transform a person’s body, mind, and social experiences intellectually, emotionally, and practically before they are integrated into their life story, resulting in a more experienced individual (Jarvis, 2009).
Meanwhile, the UNESCO definition of lifelong learning includes all intentional learning from birth to death that attempts to advance knowledge and skills for anyone who intends to engage in learning activities. Part of the broad definition of lifelong learning refers to both informal learning in settings such as the workplace, at home, or in the community and formal education in institutions such as schools, universities, and alternative education centers (Tuijnman et al., 1996). According to the European Lifelong Learning Initiative, lifelong learning is a consistently supportive process that stimulates and empowers individuals in acquiring all the awareness, values, skills, and comprehension they would require throughout their lifetime and apply them with self-belief, innovation, and pleasure in all positions, contexts, and climates (Watson, 2003). Therefore, lifelong learning can be generally defined as learning that one seeks throughout their life and that is flexible, varied, and accessible at diverse times and locations.
According to John Dewey, education is the process of giving a person the skills necessary to take charge of their world and fulfill their obligations. The ideas of education and lifelong learning endure over the life of an individual's existence. Lifelong learning transcends the limits of education and goes beyond traditional education (Edwards & Usher, 1998). In this regard, it is vital to assess how education settings can support lifelong learning. This literature review is the groundwork for the future implementation of educational institutions as lifelong learning centers.
Importance of a Systematic Literature Review of Lifelong Learning
A review of educational research in lifelong learning is the initial step to understanding relevant concepts and conducting empirical research. Both narrative and systematic reviews help identify research gaps and develop research questions, respectively. Meanwhile, systematic reviews include not only information obtained from the literature but also the adopted approach and where and how the literature was found. The significance of a systematic literature review (Cronin, 2011; Mallett et al., 2012) can be seen in the criteria used to assess whether to include or exclude a study from the review, reducing article selection bias.
Do et al. (2021) conducted the first systematic scientific investigation of the literature on lifelong learning although the selected studies focused only on the Southeast Asia context. Because the researchers used bibliometric analysis, it was not possible to study the intricacies of a lifelong learning issue, evaluate the quality of each scientific paper, or accurately highlight its effects on the topic. To overcome these limitations and provide a more general overview of the research topic, another systematic review of lifelong learning literature must be conducted. Therefore, our research will contain policy document, theoretical and empirical papers from 2000 to 2022 to provide updated information on lifelong learning in educational research. This literature review aims to identify concepts and theories, research areas, research trends, and research methods associated with lifelong learning in educational research in different countries. These intentions have guided the following research questions for this literature review:
What concepts and theories have been applied to explain lifelong learning in education research?
What research problems have been examined in lifelong learning in education research?
What research methodologies have been adopted to evaluate lifelong learning in education?
Methodology
Lifelong learning in the educational setting is assessed using a systematic review of literature instead of a narrative review or bibliometric analysis. A systematic literature review is considered as a scientific, unambiguous, and repeatable process for locating, analyzing, and summarizing every available published and registered research article to address a clearly articulated question (Dewey & Drahota, 2016). To ensure the effectiveness of the document search strategy, this study used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) as suggested by Page et al. (2021).
Procedure
This study employed the largest multidisciplinary databases, such as Web of Science (WoS), Scopus, and ProQuest, to search for studies in lifelong learning. It also investigated two institution-based websites focusing on lifelong learning, the UNESCO Institute of Lifelong Learning and the European Commission, and gathered their policy documents, publications, and reports. Throughout the period 2000–2022, all lifelong learning studies were considered to ensure that all up-to-date information is captured. Our keywords were “lifelong learning” and “education,” and we set our filters to include open-access articles and journals related to education, social science, and the English language. Based on the publication of hundreds of articles, we developed our inclusion and exclusion criteria.
Included and Excluded Studies
We selected articles based on the following criteria: published in educational science and social science publications, employed both theoretical and empirical research (qualitative, quantitative, or mixed methods), and open access. The decision was made to exclude lifelong learning articles that did not focus on the education field, such as medicine, engineering, and labor studies, and those with unsuitable titles and abstracts. Duplicate articles were removed after the articles that met these criteria were assessed using R Studio software.
Screening
The screening stage involved an evaluation of titles and abstracts to determine their suitability for the research question and literature review methodology. Through this method, we discovered irrelevant articles and removed them. The remaining policy documents, theoretical and empirical studies were reviewed and analyzed in the last screening round, producing a total of 55 eligible articles. Figure 1 shows the procedure of finding and selecting relevant literature according to the PRISMA 2020 flow diagram (Page et al., 2021).
Data Extraction and Analysis
To answer the research questions, we categorized lifelong learning concepts and theories, research trends, and methods. We extracted the concepts and theories from both policy documents, theoretical and empirical publications and then gathered information on research trends and methods based on empirical studies. We then conceptually coded and categorized the data and used R Studio software to analyze the articles both qualitatively and quantitatively.
Findings
Lifelong Learning Concepts and Theories
Our analysis of 55 studies covering the period 2000–2022 showed that lifelong learning was explained using different concepts based on the research area and trends. An overview of concepts related to lifelong learning can be found in Table 1. Meanwhile, the results of the word cloud analysis in R Studio (Fig. 2) revealed that the most prominent concepts were lifelong learning skills, lifelong learning competencies, and the three types of lifelong learning (formal, nonformal, and informal).
Table 1.
Concepts | Authors |
---|---|
Adult education | Ivanova (2009); Mandal (2019); Tsatsaroni & Evans (2014) |
Assessment | Green (2002); Matsumoto-Royo et al. (2022) |
Attitudes toward learning and individual lifelong learning behavior | Lavrijsen & Nicaise (2017) |
Beliefs | Bath & Smith (2009) |
biopolitical shift of lifelong learning | Beighton (2021) |
Communication skills and predisposition | Deveci (2019) |
Coping strategies | Muller & Beiten (2013) |
COVID-19 | Deveci (2019); Eschenbacher & Fleming (2020) |
Educational technology | Sen & Durak (2022) |
European qualification framework | Elken (2015) |
Finance | Oosterbeek & Patrinos (2009) |
Humanism | Black (2021); Osborne & Borkowska (2017) |
Integrated framework of lifelong learning | James (2020); Panitsides (2014) |
Intercultural universities | Tyson & Vega (2019) |
Knowledge-constitutive practices | Nicoll & Fejes (2011) |
Learning achievements | Omirbayev et al. (2021) |
Learning strategies | Cort (2009); Muller & Beiten (2013) |
Life-deep learning, ethical principles, learning society, and learning communities | Osborne & Borkowska (2017) |
Lifelong learners | Adams (2007); Bagnall (2017); Bath & Smith (2009) |
Lifelong learning competencies | Council of the European Union (2018); Grokholskyi et al. (2020); Kwan et al. (2017); Omirbayev et al. (2021); Shin & Jun (2019) |
Lifelong learning experience | Shin & Jun (2019) |
Lifelong learning policies | Rambla et al. (2020); Tuparevska et al. (2020a, 2020b); Valiente et al. (2020a, 2020b) |
Lifelong learning skills | Adams (2007); Bath & Smith (2009); Deveci (2022); Karataş et al. (2021); Moore & Shaffer (2017); Omirbayev et al. (2021) |
Lifelong learning tendencies | (Matsumoto-Royo et al. (2022); Nacaroglu et al. (2021); Sen & Durak (2022) |
Metacognitions | Grokholskyi et al. (2020); Matsumoto-Royo et al. (2022) |
Open universities | Zuhairi et al. (2020) |
Peer-assisted learning | Kuit & Fildes (2014) |
Perception | Adams (2007); Buza et al. (2010); Cefalo & Kazepov (2018) |
Personal learning environment | Yen et al. (2019) |
Personality determinants | Grokholskyi et al. (2020) |
Preschool education | Karalis (2009) |
Professional development | Theodosopoulou (2010); Zuhairi et al. (2020) |
Quality, equity, and inclusion | Sunthonkanokpong & Murphy (2019) |
Regulation and governance, institutional structures, and curricula | Green (2002) |
Rhizome | Usher (2015) |
Self-directed learning | Karataş et al. (2021); Kuit & Fildes (2014); Nacaroglu et al. (2021) |
Self-efficacy | Sen & Durak (2022) |
Social exclusion | Tuparevska et al. (2020a, 2020b) |
Teacher competencies | Theodosopoulou (2010) |
Teacher education | Simmons & Walker (2013); Sunthonkanokpong & Murphy (2019) |
Teaching–learning approaches | Karataş et al. (2021) |
Techno-solutionism and instrumentalism | Black (2021) |
Three types of lifelong learning (formal, nonformal, and informal) | do Nascimento et al. (2018); UIL (2017); Walters et al. (2014); Yang et al. (2015); Yen et al. (2019); Yorozu (2017) |
Workplace learning | Maxwell (2014) |
Many publications included in our review lack a clear theory of lifelong learning. Our analysis of the 55 studies, however, revealed an attempt by scholars to apply comprehensive theory (Bagnall, 2017), theory of transformative learning (Eschenbacher & Fleming, 2020), theories of societal learning (Osborne & Borkowska, 2017) to lifelong learning.
Research Areas in Lifelong Learning
We inductively analyzed 21 of the 55 empirical studies in our review to examine the common research problems that the researchers presented and addressed. From this analysis, three common research areas emerged: problems associated with the conceptual framework or policies of lifelong learning, issues surrounding lifelong learning abilities, and challenges linked to factors that influence lifelong learning and/or lifelong learning abilities. Table 2 presents a detailed analysis of these research problems in the 21 studies.
Table 2.
Research areas | Authors | |
---|---|---|
Concepts used in policies of lifelong learning | A conceptual framework for lifelong learners who leave school | Adams (2007) |
The notion of social isolation in lifelong learning policies developed by the European Union (EU) | Tuparevska et al. (2020a) | |
Vulnerability in lifelong learning policies developed by the EU | Tuparevska et al. (2020b) | |
The relations between lifelong learning policies and the definition of young adults in terms of social vulnerability | Rambla et al. (2020) | |
Lifelong learning abilities | Lifelong learning skills during the course | Moore & Shaffer (2017) |
Lifelong learning skills in biology | Kuit & Fildes (2014) | |
Lifelong learning tendencies, technical self-efficacy, and professional competence | Sen & Durak (2022) | |
The mediating function of preparedness for self-directed learning in the correlation between lifelong learning skills and preservice teachers’ teaching–learning style | Karataş et al. (2021) | |
Different forms of teacher training in lifelong learning | Simmons & Walker (2013) | |
Relation between lifelong learning tendencies and self-regulatory skills | Nacaroglu et al. (2021) | |
Factors that influence lifelong learning and/or lifelong learning abilities | Multi-layered influence of individual and organizational factors on lifelong learning competencies | Shin & Jun (2019) |
Characteristics and traits that may indicate a person’s tendency for lifelong learning | Bath & Smith (2009) | |
Importance of external barriers to explain inequalities in lifelong learning participation | Lavrijsen & Nicaise (2017) | |
Personal learning environment (PLE) management’s forecast of PLE application in fostering lifelong learning | Yen et al. (2019) | |
Interpersonal communication in the learning and teaching environment as a key indicator of current and future engagement in lifelong learning | Deveci (2019) | |
Role of personality traits and metacognitions in the acquisition of lifelong learning competency | Grokholskyi et al. (2020) | |
Impact of the pandemic on lifelong learning skills | Deveci (2022) | |
Assessment processes that foster the improvement of metacognition abilities and encourage lifelong learning | Matsumoto-Royo et al. (2022) | |
Challenges to improve lifelong learning in open universities | Zuhairi et al. (2020) | |
Learning strategies of lifelong learners | Muller & Beiten (2013) | |
How education can be organized to ensure quality and lifelong learning | Buza et al. (2010) |
We also found that researchers described lifelong learning abilities using terms such as “lifelong learning skills,” “lifelong learning competencies,” and “lifelong learning tendencies.” Some studies also investigated the impacts of demographic data to address their research problems (e.g., Buza et al., 2010; Nacaroglu et al., 2021; Sen & Durak, 2022; Shin & Jun, 2019).
Research Methodologies in Lifelong Learning
Of the 21 studies, 11 conducted quantitative research, seven qualitative researches, and three mixed-method research. Differences were observed in their research instruments, analysis, and participants based on their research design and methods. We will discuss these research methodologies based on the aforementioned three common research problems.
Table 3 summarizes the main research instruments used by lifelong learning studies. The researchers also adopted several other research tools, including the Competences Scale for Educational Technology Standards, the Teaching–Learning Conceptions Scale, the Self-Directed Learning Readiness Scale, the Perceived Self-Regulation Scale, the Dimension Learning Organization Questionnaire, learning agility, knowledge sharing, learning approaches, the General Self-Efficacy Scale, the Openness to Experience Scale, change readiness, the Epistemic Beliefs Inventory, general intelligence, self-assessment of metacognitive knowledge and metacognitive activity, reflexive skills, the questionnaire of implicit theories, a diagnosis of motivational structure, and the teaching and assessment strategies for pedagogical practice instrument, to investigate the relation between lifelong learning abilities and other variables or their impacts.
Table 3.
Research problems | Research instruments | Authors |
---|---|---|
Conceptual framework or policies of lifelong learning | Interview | Adams (2007) |
Interviews, documents | Tuparevska et al. (2020a) | |
Interviews, policy documents | Tuparevska et al. (2020b) | |
Interview | Rambla et al. (2020) | |
Lifelong learning abilities | Effective Lifelong Learning Inventory | Moore & Shaffer (2017) |
Student surveys | Kuit & Fildes 2014) | |
Lifelong learning tendencies scales | (Sen & Durak (2022) | |
Lifelong Learning Tendency Scale | Karataş et al. (2021) | |
Interview | Simmons & Walker (2013) | |
Lifelong learning scale, semi-structured interviews | Nacaroglu et al. (2021) | |
Lifelong learning competencies scales | Shin & Jun (2019) | |
Factors that influence lifelong learning and/or lifelong learning abilities | Lifelong learning scale | Bath & Smith (2009) |
Data from the Program for the International Assessment of Adult Competencies | Lavrijsen & Nicaise (2017) | |
Personal environment learning | Yen et al. (2019) | |
Predispositions for Lifelong Learning | Deveci (2019) | |
Questionnaire form on the individual experience of LLL, development of LLL competency (scores of two semesters) | Grokholskyi et al. (2020) | |
Lifelong learning skills | Deveci (2022) | |
“Metacognition and Lifelong Learning in the Teaching and Assessment of Future Teachers” questionnaire, interview | Matsumoto-Royo et al. (2022) | |
Interviews, focus group discussion | Zuhairi et al. (2020) | |
Learning styles instrument, coping strategies scale | Muller & Beiten (2013) | |
Lifelong learning conception, the relation between teaching and lifelong learning, interview | Buza et al. (2010) |
In some cases, some researchers developed these instruments, while in others, they modified existing tools (e.g., Effective Lifelong Learning Inventory (Crick et al., 2004), Lifelong Learning Competencies Scale (Sahin et al., 2010), and Lifelong Learning Tendency Scale (Coşkuna & Demirel, 2010)). These researchers also performed many types of data analysis based on their data collection tools and data distribution methods, including descriptive and diagnostic analyses, hierarchical linear modeling, reliability, principal component analysis, confirmatory factor analysis, structural equation modeling, regression, multivariate regression, correlation, comparative analyses (t-test or Mann–Whitney U test), and content analysis.
These studies also involved several types of participants, such as students, primary and secondary school teachers, undergraduates, postgraduates, student teachers, EU Lifelong Learning experts, young adults, teacher educators, administrators, and academic staffs, which all represent different contexts. Table 4 shows that Asia, the Middle East, and Europe can be regarded as the general contexts of these studies. Notably, however, fewer studies have been conducted in Asia than in the Middle East and Europe, which may pose a challenge to the generalization of the findings of some studies in these contexts.
Table 4.
Research problems | Participants | Context | Authors |
---|---|---|---|
Conceptual framework or policies of lifelong learning | Secondary school teachers | Australia | Adams (2007) |
EU LL experts | Europe | Tuparevska et al. (2020a) | |
EU LL experts | Europe | Tuparevska et al. (2020b) | |
Young adults, experts | Spain, Austria | Rambla et al. (2020) | |
Lifelong learning abilities | Undergraduate students | United States | Moore & Shaffer (2017) |
Undergraduate students | Australia | Kuit & Fildes (2014) | |
Student teachers | Turkey | Sen & Durak (2022) | |
Student teachers | Turkey | Karataş et al. (2021) | |
Teacher educators | England | Simmons & Walker (2013) | |
Students | Turkey | (Nacaroglu et al. 2021) | |
Factors that influence lifelong learning and/or lifelong learning abilities | Primary teachers | Korea | Shin & Jun (2019) |
University students | Australia | Bath & Smith (2009) | |
Students | Europe | Lavrijsen & Nicaise (2017) | |
Master students | United States | Yen et al. (2019) | |
Students and teachers | United Arab Emirates | Deveci (2019) | |
Students | Ukraine | Grokholskyi et al. (2020) | |
Students | United Arab Emirates | Deveci (2022) | |
Student teachers | United States | Matsumoto-Royo et al. (2022) | |
Administrators, academic staff, students | Taiwan, Indonesia | Zuhairi et al. (2020) | |
Students | Denmark, Finland, Germany | Muller & Beiten (2013) | |
Postgraduate students and teachers in teacher education | Albania | Buza et al. (2010) |
Discussion
The results of our review showed that theoretical papers, such as reports, policy document, and lifelong learning concepts were generally much more extensive than empirical studies. Despite attempts to formulate new lifelong learning theories and apply existing ones, researchers have yet to develop a strong theory of lifelong learning. Consistent with the results of our systematic review is Steffens (2015) assertion that no single theory of learning can adequately account for all types of lifelong learning.
The prior studies' use of lifelong learning concepts can be the basis for further studies to build comprehensive theoretical frameworks in line with the current situation. This study’s concept analysis identified lifelong learning skills; lifelong learning competencies; and formal, nonformal, and informal learning as the most salient concepts.
Meanwhile, the analysis of each empirical study’s research problems generated three shared research trends in lifelong learning. Additionally, these studies were found to have investigated the relation between lifelong learning abilities and other variables, such as professional competencies, self-efficacy, and teaching–learning approaches. Moreover, they examined the factors affecting lifelong learning, lifelong learning skills, lifelong learning competencies, and lifelong learning tendencies; the hierarchical effects of individual and organizational variables; external barriers; professional learning environment; metacognitions; and personality determinants. Alongside these factors, demographic components such as gender, age, subjects, and educational level can also significantly influence lifelong learning. Furthermore, this review also found research gaps in lifelong learning in educational research, which offers the potential to explore lifelong learning using variables such as new learning communities, advanced teaching–learning techniques, learning styles, learning strategies and motivation in addition to self-directed learning, personal learning environments, and educational technology.
With regard to research methods, this study identified only three studies that used mixed methods, indicating an inadequacy in the field. Hence, all future research of lifelong learning should be conducted using mixed methods. Our examination of instruments revealed different tools that were used to assess the three common research problems. Such an effort may require the application of different data analysis techniques, including content analysis, descriptive analysis, and inferential analysis.
The prior studies, as a result of our review, only interviewed lifelong learning specialists, young adults, and secondary teachers to address their research issues, such as concepts and policies. Indeed, the development of lifelong learning policies or conceptual frameworks would benefit from the involvement of teachers from basic education schools, teacher education institutions, and universities.
Several research problems associated with lifelong learning capabilities involved university students, students and teacher educators. In light of this, it is still important to examine the lifelong learning skills, competencies, and tendencies of all stakeholders in the educational setting. The previous studies analyzed different factors that may shape lifelong learning and/or lifelong learning abilities with all possible participants. Considering the geographical context, more research must be conducted on the three research trends in lifelong learning in Asia as opposed to Europe. This will strengthen the generalizability of findings to specific target groups such as students, teachers, and teacher trainers in the specific area.
Nevertheless, it must be emphasized that our study is not without limitations. Our review may have overlooked several empirical studies that were not in Scopus, WoS, or ProQuest because we selected only open-access articles indexed in these databases. Additional research may have a different effect on the results. Neither the details of the research instruments nor the findings of each study can be examined in detail.
Therefore, we recommend that subsequent systematic reviews and meta-analyses in lifelong learning incorporate articles indexed in other databases. Researchers may also conduct future reviews examining the history and psychometrics of research instruments used in lifelong learning and considers the results of each empirical study. However, a comparison of study findings in the Asian context continues to be a challenge because not enough research has been conducted in all possible lifelong learning research areas. Considering the impact of COVID-19, lifelong learning research in new learning communities, environments, or organizations may be conducted to capture updated information.
Conclusion
This literature review aimed to identify concepts, theories, issues, trends, and research methodologies associated with lifelong learning in educational research. Our findings addressed concepts, lifelong learning policies, lifelong learning competencies, and formal, nonformal, and informal. The studies included in this review highlighted that a strong theory of lifelong learning has yet to be developed and applied. In addition, we deductively examined three common research trends: issues with basic concepts or guiding principles of lifelong learning, problems surrounding lifelong learning capacities, and challenges regarding variables that affect lifelong learning and/or lifelong learning capacities. Regarding methodology, we examined the techniques, tools, data analysis, and participants included in lifelong learning studies. Overall, educational researchers must continue to conduct more mixed methods studies, focusing on the Asian context.
Acknowledgements
The first author is the Stipendium Hungaricum Scholarship holder. This paper would have been impossible without the financial support of the Hungarian government’s Stipendium Hungaricum Scholarship in collaboration with the Myanmar government.
Funding
Open access funding provided by University of Szeged.
Declarations
Conflict of interest
There are no competing interests to declare.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Win Phyu Thwe, Email: winnphyuthwe@gmail.com.
Anikó Kálmán, Email: drkalmananiko@gmail.com.
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