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. 2020 Apr 14;6(4):e03777. doi: 10.1016/j.heliyon.2020.e03777

Assessment of multiple intelligences in elementary school students in Mexico: An exploratory study

Irma Marcela González-Treviño a, Georgina Mayela Núñez-Rocha b, Jesús Marco Valencia-Hernández c, Arturo Arrona-Palacios d,∗
PMCID: PMC7163067  PMID: 32322737

Abstract

Multiple Intelligence (MI) helps to evaluate the brain processes of individuals. Identifying the types of multiple intelligence can help teachers to understand their students better. Several studies have identified MI in school children; nevertheless, in Mexico, these studies have been scarce. Therefore, the objective of this study was to analyze the differences of MI between genders and the grades-in-school of Mexican elementary schoolchildren. In an effort to investigate the differences of MI in elementary school children in Mexico, we provided a self-administered questionnaire to 161 Mexican students. Overall, our findings showed that the students’ mean averages in the eight categories of MI were similar in both genders; in fact, the only significant differences in gender were found in intrapersonal intelligence (males reporting higher intrapersonal differences than females). No other significant differences in MI were found, nor were there interaction effects between gender and the grade in school. In summary, these results give us an understanding that the different types of MI may not be that well implemented in elementary school children.

Keywords: Education, Psychology, Multiple intelligence, Educational innovation, Elementary students, Intelligences, Students

Education, Psychology, Multiple intelligence, Educational innovation, Elementary students, Intelligences, Students.

1. Introduction

The Multiple Intelligence Theory (MI) is a theory that examines and assesses two types of brain processes, namely, mental capabilities and the processes of learning and knowledge acquisition (Gardner, 1983). Gardner (1983) identified several subtypes of intelligence that every normal individual should develop to some extent, although certain individuals will develop some far more than others. These are object-related intelligence, logical-mathematical, spatial, and bodily-kinesthetic intelligence. The object-free forms of intelligence are linguistic and musical. Finally, the two types of personal intelligence are interpersonal and intrapersonal. Later, Gardner, 1999a, Gardner, 1999b) added additional types of possible intelligence, for example, naturalistic intelligence. Gardner, 1983, Gardner, 1999a, Gardner, 1999b defines the eight classifications of intelligence as follows:

  • •

    Logical-Mathematical Intelligence: Consists of the capacity to analyze problems logically, perform mathematical operations, and investigate issues scientifically. This intelligence is the most often associated with scientific and mathematical thinking.

  • •

    Linguistic Intelligence: This intelligence includes the ability to effectively use language to express oneself rhetorically or poetically and language as a means to remember information.

  • •

    Spatial Intelligence: It gives one the ability to manipulate and create mental images in order to solve problems. This intelligence is not limited to visual domains.

  • •

    Musical Intelligence: Involves skill in the performance, composition, and appreciation of musical patterns. It encompasses the capacity to recognize and compose musical pitches, tones, and rhythms.

  • •

    Bodily-Kinesthetic Intelligence: Entails the potential of using one's whole body or parts of the body to solve problems. It is the ability to use mental abilities to coordinate bodily movements.

  • •

    Interpersonal Intelligence: Is the ability to notice and make distinctions among other individuals and, in particular, their moods, temperaments, motivations, and intentions. It is also the ability to understand the intentions, motivations, and desires of other people. It allows people to work effectively with others.

  • •

    Intrapersonal Intelligence: Is the ability to distinguish and identify various personal thoughts and feelings and to use them to understand one's own behavior.

  • •

    Naturalist Intelligence: Is the ability to identify similarities, discern differences, and make classifications of the living organisms in one's environment.

MI-based teaching recognizes that each student has all these types of intelligence but that they are not always developed well or effectively, and individuals differ in the strengths of these. Therefore, the purpose of the assessment of MI is to know the intellectual capabilities of the students in the context of practice activities in the classroom, with appealing material, without time constraints, and giving children the freedom to manipulate this material (Almeida et al., 2010). The emphasis is on learning rather than on outcomes, as the evaluation process gathers information about the individuals' capabilities to provide useful and relevant information for learning (Gardner, 1999b). Thus, Gardner considers the assessment of intelligence as a procedure which should be understood as a part of the teaching and learning process (Almeida et al., 2010). Each of the MI types can serve as gateways to personalize important cognitive and emotional processes that underlie learning such as attention, memory, motivation, creative cognition, problem-solving, and understanding (Armstrong, 2017). The benefit of embedding MI in learning is that it can easily span diverse cultures because each school represents a cultural system of educational beliefs, social ideas, and practices (Shearer, 2018).

Current theories of MI suggest that the intelligence types, to one degree or another, have to interact with one another (Moran et al., 2006) and cooperate (Torresan, 2007). In one study, Savas (2012) analyzed the relationship between intelligence, language, and learning. The results showed that each intelligence type has a role in learning a foreign language, and the extent that the role each intelligence plays varies. Some play large roles, whereas others play small ones. Another study examined whether personality correlates with incremental attitudes towards the growth of MI (Furnham, 2014). The results showed that people distinguish between the changeability of different types of intelligence. They believed that it is relatively difficult to increase musical intelligence; however, they did think that verbal, naturalistic, and intrapersonal intelligence was relatively easy to acquire. In a study by Özdilek (2010) of Turkish elementary school children, it was reported that mathematical-logical, visual-spatial, and interpersonal intelligence have a positive correlation with academic achievement. More recently, the work of Gürkan et al. (2019) found that using MI in the activities of preschool children from Tukey had a positive effect on children's interest and active participation in the daily activities because the activities used all eight intelligence types and addressed the various learning styles of the children. Also, the work of Hassan (2020) reported that using MI theory in the teaching of geometry encouraged elementary students in Egypt to practice many mental habits; they thought mutually, applied previous knowledge to current situations, and actively participated.

Generally, MI theory has been used as a way to explore and compare the different types of intelligence among students as a tool to help students with deficient school achievement and to contrast the benefits of MI theory and general intelligence (g) theory (Almeida et al., 2010; Chen et al., 2009). Nevertheless, there is robust evidence that each MI possesses neural architectural coherence that is clear, distinct, and aligned with accepted cognitive-neural correlates (Shearer, 2020). These neural patterns are consistent with Gardner's hypothesis that general intelligence is most closely associated with linguistic and logical-mathematical intelligence (Shearer and Karanian, 2017).

Few studies have studied and discussed the benefits of knowing and identifying the different types of MI in Mexico. Martínez and Lozano (2007) reported that when applying soft music in the classroom in the background, students who had more points in their musical intelligence saw a strong and positive impact on academic achievement. In another study, results reported that apart from motivation or attitude, the different types of intelligence may determine the students’ chances for successful academic achievement (Funderburk et al., 2013). Lastly, a study reported that students' highest intelligence was bodily-kinesthetic, interpersonal, intrapersonal, and musical (Tapia et al., 2013).

However, the samples in the aforementioned studies were comprised of adolescents. To our knowledge, there are no works assessing MI in elementary school children in Mexico. According to Tapia et al. (2013), it is important to assess the students first in order to provide useful information for the professor and then generate teaching strategies to address the needs of the students by applying specified treatment and then evaluating the progress of the students. Moreover, identifying the students' individual differences can help teachers to guide students and suggest strategies to succeed (Reyna and Ocampo, 2012). Therefore, our main objective was to analyze the differences of MI between gender and school grades of elementary Mexican school children. It was expected to find gender and school grade differences in students with MI.

2. Materials and methods

2.1. Sample

The sample contained a total of 161 elementary school children (grades 3, 4, 5, and 6) from 5 public schools located in Monterrey, Nuevo Leon, Mexico, of whom 71 were girls and 90 were boys. The mean age of the overall sample was 9.87 ± 1.37 years (mean ± SD),and the age range was 8–13 years old.

2.2. Measures

2.2.1. Minds scale of multiple intelligences

The scale was elaborated by Ruiz (2004) and consisted of 72 questions looking for responses on a seven-point Likert scale that ranges from totally disagree (1) to totally agree (7). It evaluated the eight multiple intelligences classified by Gardner: Logical-Mathematical Intelligence, Linguistic Intelligence, Bodily-Kinesthetic Intelligence, Musical Intelligence, Spatial Intelligence, Interpersonal Intelligence, Intrapersonal Intelligence, and Naturalistic Intelligence. The score is achieved with the sum of the items that correspond to each of the types of intelligence; higher scores mean there is a higher presence of the various types of intelligence. The scale has obtained good internal consistency with a Cronbach alpha of 0.88 compared to 0.94 in previous studies (Ruiz, 2004; Delgado, 2017; Rodríguez, 2016). In this study, Cronbach's alpha was 0.92.

2.2.2. Academic achievement

For this measure, the schools provided the students’ grade point average (GPA) for the overall school year. The GPA of the schools ranges on a scale from 0 to 10. When the score is ≤6, it means fail, and when it is ≥7, it means a satisfactory score.

2.3. Procedure

This descriptive cross-sectional study was applied to 5 main elementary schools in Monterrey, Mexico. They were selected from those who best follow the standards promulgated by the Secretary of Public Education (SEP) in the state of Nuevo Leon. For this study, the total sample size of 250 students was selected. A total of 89 participants were excluded due to nonresponse or refusal to participate. The application had an estimated response time of 25 min; the questionnaires were applied during school classes. Data collection was voluntary, and students received no payment of any kind. Parents of each of the participants signed a letter of informed consent, and so did the school administrators. The research project was approved by the Research Ethics Committee of the School of Medicine and Health Sciences from Tecnologico de Monterrey, and it complied with the principles of the Declaration of Helsinki regarding research on human participants.

2.4. Statistical analysis

To evaluate the differences for each dependent variable, we conducted a multiple-analysis-of-variance (MANOVA), considering gender and school grade as independent variables and the 8 types of intelligence as dependent variables. The indicators that showed significant differences in the MANOVA were subjected to a post hoc analysis using the Tukey honestly significant difference test. The partial eta-squared (ηp2) was used as a measure of the effect size as follows: effect sizes between 0.01 and 0.05 were considered low, between 0.06 and 0.13 moderate, and above .014 high (Cohen, 1992). The Statistical Program for the Social Sciences (version 25) was used for all analyses.

3. Results

The mean average and the standard deviation of the students' MI scores and academic achievement are shown in Table 1, which reports the students’ average levels of MI. Significant differences were found in gender in intrapersonal intelligence, meaning that boys reported a higher intrapersonal intelligence than girls (Males: 37.91 ± 6.42; Girls: 35.76 ± 6.16, F (1, 157) = 4.41, p = 0.03; ηp2 = 0.027). No further significant differences were found. When considering school grades, a significant difference was found with respect to academic performance. Students in the 3th and 4th grades obtained a lower GPA than students in 5th and 6th grades (Grades 3 and 4: 8.40 ± 0.89; Grades 5 and 6: 8.81. ± 0.61, F (1, 157) = 12.05, p = 0.001; ηp2 = 0.71). No additional significant differences were found; also, there was no interaction effect between gender and school grade with MI. (See Tables 2 and 3).

Table 1.

Means and standard deviations (SD) of each variable from the study.

Mean SD
Logical-Mathematical intelligence 25.45 4.61
Linguistic intelligence 37.99 5.88
Bodily-Kinesthetic intelligence 37.99 5.88
Musical intelligence 27.30 6.38
Spatial intelligence 32.94 5.66
Interpersonal Intelligence 39.68 6.41
Intrapersonal intelligence 36.96 6.37
Naturalistic intelligence 34.42 6.63
Academic performance 8.61 .72
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Table 2.

Means, standard deviations (SD), and numbers of participants according to gender and school grades by Multiple Intelligence and academic performance.

Gender
 Total
Boys
 Girls
Mean SD N Mean SD N Mean SD N
Logical-Mathematical intelligence 3th and 4th grade 25.51 4.40 45 25.36 4.99 33 25.45 4.63 78
5th and 6th grade 25.73 4.47 45 25.16 4.84 38 25.47 4.62 83
Total 25.62 4.41 90 25.25 4.87 71 25.46 4.61 161
Linguistic intelligence 3th and 4th grade 37.98 5.81 45 38.24 5.47 33 38.09 5.63 78
5th and 6th grade 38.38 5.36 45 37.34 6.98 38 37.90 6.14 83
Total 38.18 5.56 90 37.76 6.30 71 37.99 5.88 161
Bodily-Kinesthetic intelligence 3th and 4th grade 37.98 5.81 45 38.24 5.47 33 38.09 5.63 78
5th and 6th grade 38.38 5.36 45 37.34 6.98 38 37.90 6.14 83
Total 38.18 5.56 90 37.76 6.30 71 37.99 5.88 161
Musical intelligence 3th and 4th grade 28.24 6.34 45 27.94 6.20 33 28.12 6.24 78
5th and 6th grade 27.47 6.74 45 25.45 6.01 38 26.54 6.46 83
Total 27.86 6.52 90 26.61 6.18 71 27.30 6.38 161
Spatial intelligence 3th and 4th grade 32.16 5.58 45 32.76 5.20 33 32.41 5.40 78
5th and 6th grade 34.04 6.10 45 32.74 5.64 38 33.45 5.89 83
Total 33.10 5.89 90 32.75 5.40 71 32.94 5.66 161
Interpersonal Intelligence 3th and 4th grade 40.33 4.89 45 40.36 5.46 33 40.35 5.11 78
5th and 6th grade 40.31 6.51 45 37.61 8.21 38 39.07 7.41 83
Total 40.32 5.73 90 38.89 7.15 71 39.69 6.41 161
Intrapersonal intelligence 3th and 4th grade 36.80 6.58 45 36.64 5.36 33 36.73 6.06 78
5th and 6th grade 39.02 6.12 45 35.00 6.76 38 37.18 6.69 83
Total 37.91 6.42 90 35.76 6.16 71 36.96 6.38 161
Naturalistic intelligence 3th and 4th grade 35.73 6.27 45 34.94 5.10 33 35.40 5.78 78
5th and 6th grade 33.71 7.09 45 33.26 7.55 38 33.51 7.26 83
Total 34.72 6.73 90 34.04 6.54 71 34.42 6.64 161
Academic performance 3th and 4th grade 8.43 0.89 45 8.36 0.91 33 8.40 0.89 78
5th and 6th grade 8.74 0.58 45 8.88 0.65 38 8.81 0.61 83
Total 8.59 0.76 90 8.64 0.82 71 8.61 0.79 161
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Table 3.

Statistical data (Fs, signification level, and partial eta-square) on each variable according to gender and school grade.

Gender (1, 157)
 School grade (1, 157)
 Gender and School grade (1, 157)
F P ηp2 F p ηp2 F p ηp2
Logical-Mathematical intelligence .239 0.62 .002 .000 0.99 .000 .084 0.77 .001
Linguistic intelligence .168 0.68 .001 .071 0.79 .000 .447 0.49 .003
Bodily-Kinesthetic intelligence .168 0.68 .001 .071 0.79 .000 .477 0.49 .003
Musical intelligence 1.325 0.25 .008 2.622 0.10 .016 .721 0.39 .005
Spatial intelligence .153 0.69 .001 1.074 0.30 .016 1.122 0.29 .007
Interpersonal Intelligence 1.747 0.18 .011 1.887 0.17 .012 1.827 0.17 0.12
Intrapersonal intelligence 4.417 0.03 .027 .087 0.76 .001 3.754 0.05 .023
Naturalistic intelligence .348 0.56 .002 3.086 0.08 .019 .027 0.87 .000
Academic performance .080 0.77 .001 12.053 0.001 0.71 .757 0.38 .005
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4. Discussion

The purpose of this study was to determine the differences in MI between gender and school year of elementary Mexican school children. Our results reported that boys presented higher levels of intrapersonal intelligence than girls, which is similar to a study by Beceren with Turkish children (2010), but contrary to what Llor et al. (2012) found, which was that Spanish boys distinguished themselves with a more logical-mathematical and interpersonal intelligence, and girls stood out in the interpersonal and intrapersonal intelligence. Moreover, Chen (2006) found that Chinesse school children reported less intrapersonal intelligence than girls. Generally, intrapersonal intelligence is referred to as the capacity to understand oneself (Gardner, 1993). This result agrees with the idea that children from an early age start developing their sense of self-understanding, self-regulation, and self-image (Markus and Nurius, 1984; Mendo-Lázaro et al., 2017). Contrary to past studies, gender differences were found in school children where they apply different instruments for assessing MI (Almeida et al., 2010; Berecem, 2010; Miller, 1999; Özdilek, 2010), in our results, we could not find any gender differences with the rest of the intelligence types. This may be due to the lack of implementations of socio-emotional learning in the curricula of the students in order to promote their MI. Furthermore, when considering school grades, our results did not report any differences with MI. Currently, schools are implementing socio-emotional competencies in their curricula; by implementing these competencies, students have a better psychosocial adjustment and have improved attitudes and academic and behavioral results (Weissberg et al., 2015). Socio-emotional learning (SEL) has produced significant positive effects in different aspects of adjustment and improvements in the academic performance of students (Durlak et al., 2011). However, SEL is not implemented in all the schools. In the case of Mexico, there are some mentions about the importance of socio-emotional competencies; nevertheless, real implementation of these competencies is scarce in the school system. This may explain why students in this sample reported proper differences with their MI. On the other hand, we must consider that possibly the reason why students have little difference in the classifications of MI is that the teachers do not motivate their students to exercise it. There are certain studies where it has been found that the application of MI during class by teachers helps to improve the academic development of students (Dolati and Tahriri, 2017; Ghamrawi, 2014; Yaumi et al., 2018). In further research, this could be a better way to analyze MI by considering to study both the teacher and the students, not just one or the other. Moreover, educators in Mexico can benefit from applying MI in their curricula because it can help to detect specific pedagogical, didactic, and instrumental experiences. Furthermore, the curriculum may be organized conceptually to provide an integrated education from prior knowledge of the needs and interests of the students and their strengths in MI; this could help the students develop critical thinking while stimulating discovery and creativity (Díaz-Posada et al., 2017). It is also worth mentioning that assessing MI in students may help to identify and prevent certain risk factors in schools, such as symptoms of depression (Gomez-Baya et al., 2017), body dissatisfaction and eating disorders (Cuesta-Zamora et al., 2018), and anxiety (Zysberg, 2018). In the other direction, it may help students to identify and take advantage of their aptitudes, such as resilience (Droppert et al., 2019), high self-esteem (Gardner and Lambert, 2019), optimism (Taylor et al., 2017), and creativity (Salavera et al., 2017).

It should be noted that there are some limitations to this study. First, this study took place in only one city in the state of Nuevo Leon, Mexico. In the future, it would be desirable to expand the study to several cities to have more precise and probabilistic ideas of the individual differences of students. Also, the sample was obtained only from several public schools and did not include students from private schools. Future work can be oriented toward assessing the differences between private and public schools. Second, only one assessment tool, the questionnaire, was used to evaluate the MI of the participants, and there was a lack of positive results. For future studies, the use of several instruments to measure MI should be considered, such as in the work of Kuo et al. (2010).

5. Conclusion

The results of the current study were that male school children reported higher scores in intrapersonal intelligence, which means that they are aware of their own behavior and the consequences of their actions. Nevertheless, educators in Mexico should consider integrating the assessment of the eight types of intelligence in their curricula, especially beginning in the early education years, because the curriculum content should be selected considering the children's backgrounds and previous experiences. The absence of socio-emotional learning in schools may delay the comprehensive educational development of students. Consequently, the implementation of MI theory in Mexican schools should be adopted.

Declarations

Author contribution statement

I. R. González-Treviño: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data; Wrote the paper.

G. M. Núñez-Rocha: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data.

J. M. Valencia-Hernández: Performed the experiments; Contributed reagents, materials, analysis tools or data.

A. Arrona-Palacios: Analyzed and interpreted the data; Wrote the paper.

Funding statement

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Competing interest statement

The authors declare no conflict of interest.

Additional information

No additional information is available for this paper.

Acknowledgements

We would like to thank Writing Lab, TecLabs, Tecnologico de Monterrey, Mexico for the English editing and translation services and the support for the open access payment.

References

  1. Almeida L.S., Prieto M.D., Ferreira A.I., Bermejo M.S., Ferrando M., Ferrándiz C. Intelligence assessment: gardner's multiple intelligence theory as an alternative. Learn. Indiv Differ. 2010;20:225–230. [Google Scholar]
  2. Armstrong T. fourth ed. ASCD; 2017. Multiple Intelligences in the Classroom. [Google Scholar]
  3. Berecem B.O. Determining multiple intelligences in pre-school children's learning process. Procedia Soc. Behav. Sci. 2010;2:2473–2480. [Google Scholar]
  4. Chen J.Q. American Educational Research Association Conference; San Francisco: 2006. How MI Theory Fits into Traditional and Modern China, Comunicare. [Google Scholar]
  5. Chen J.Q., Moran S., Gardner H. Jossey-Bass; San Francisco, CA: 2009. Multiple Intelligences Around the World. [Google Scholar]
  6. 2025.Cohen J. A power primer. Psychol. Bull. 1992;(112):155–159. doi: 10.1037//0033-2909.112.1.155. [DOI] [PubMed] [Google Scholar]
  7. Cuesta-Zamora C., González-Martí I., García-López L.M. The role of trait emotional intelligence in body dissatisfaction and eating disorder symptoms in preadolescents and adolescents. Pers. Indiv. Differ. 2018;126:1–6. [Google Scholar]
  8. 2023.Delgado P. Inteligencias Multiples En Estudiantes de Psicología E Ingeniería Industrial de La Universidad Privada Del Norte – Los Olivos. Universidad Privada del Norte; 2017. [Google Scholar]
  9. Díaz-Posada L.E., Varela-Londoño S.P., Rodríguez-Burgos L.P. Multiple intelligences and curriculum implementation: progress, trends and opportunities. J. Psychodidactics. 2017;22:69–83. [Google Scholar]
  10. Dolati Z., Tahriri A. SAGE Open; 2017. EFL Teachers Multiple Intelligences and Their Classroom Practice. [Google Scholar]
  11. Droppert K., Downey L., Lomas J., Bunnett E.R., Simmons N., Wheaton A., Stough C. Differentiating the contributions of emotional intelligence and resilience on adolescent male scholastic performance. Pers. Indiv. Differ. 2019;145:75–81. [Google Scholar]
  12. Durlak J., Weissberg R., Dyminicki A., Taylor R., Schellinger K. The impact of enhancing students social and emotional learning: a meta-analysis of school-based universal interventions. Child Dev. 2011;82:405–432. doi: 10.1111/j.1467-8624.2010.01564.x. [DOI] [PubMed] [Google Scholar]
  13. Funderburk R., Hidalgo H., Paredes B., Dzul M. A tri-dimensional study of pre-service teachers of English: beliefs, language, and multiple intelligences. In: Tapia R.E., Hidalgo H., Méndez M.G., editors. Vol. 1. Benemérita Universidad Autónoma de Puebla; Puebla, México: 2013. pp. 113–142. (Looking into Learner Needs in Mexican ELTed: PIAFET Project). [Google Scholar]
  14. Furnham A. Increasing your intelligence: entity and incremental beliefs about the multiple “intelligences”. Learn. Indi. Diff. 2014;(32):163–167. [Google Scholar]
  15. Gardner A.A., Lambert C.A. Examining the interplay of self-esteem, trait-emotional intelligence, and age with depression across adolescence. J. Adolesc. 2019;71:162–166. doi: 10.1016/j.adolescence.2019.01.008. [DOI] [PubMed] [Google Scholar]
  16. Gardner H. Basic Books; New York: 1983. Frames of Mind: the Theory of Multiple Intelligence. [Google Scholar]
  17. Gardner H. Multiple Intelligences: The Theory and Practice. Basic Books; 1993. [Google Scholar]
  18. Gardner H. Basic Books; New York: 1999. Intelligence Reframed: Multiple Intelligences for the 21st century. [Google Scholar]
  19. Gardner H. Simon & Schuster; New York: 1999. The Disciplined Mind: what All Students Should Understand by Howard Gardner. [Google Scholar]
  20. Ghamrawi N. Multiple Intelligences and ESL teaching and learning: an investigation in KG II classrooms in one private school in Beirut, Lebanon. J. Adv. Acad. 2014;25:25–46. [Google Scholar]
  21. Gomez-Baya D., Mendoza R., Paino S., de Matos M.G. Perceived emotional intelligence as a predictor of depressive symptoms during mid-adolescence: a two-year longitudinal study on gender differences. Pers. Indiv. Differ. 2017;104:303–312. [Google Scholar]
  22. Gürkan T., Dincer C., Cabuk B. Integrating multiple intelligences into daily plans: a preschool example. Turk. Online J. Qual. Inq. 2019;10:321–345. [Google Scholar]
  23. Hassan H. The effect of using a program based on multiple intelligences theory in teaching geometry on developing preparatory stage pupils’ habits of mind. J. Res. Curric. Instruct. Educ. Technol. 2020;6:149–174. [Google Scholar]
  24. Kuo C.C., Maker J., Su F.L., Hu C. Identifying young gifted children and cultivating problem-solving abilities and multiples intelligences. Learn. Indiv Differ. 2010;20:365–379. [Google Scholar]
  25. Llor L., Fernando M., Ferrándiz C., Hernández D., Sainz M., Prietro M.D., Fernández M.C. Inteligencias múltiples y alta habilidad [Multiple intelligences and high skills] Aula Abierta. 2012;40:27–38. [Google Scholar]
  26. Markus H.J., Nurius P.S. Self-understanding and self-regulation in middle childhood. In: Collins A., editor. Development during Middle Childhood. The Years from Six to Twelve. National Academies Press; Washington, DC: 1984. pp. 147–183. [PubMed] [Google Scholar]
  27. Martínez L., Lozano A. Memorias del IX Congreso Nacional de Investigación Educativa; Mérida, México: 2007. La infuencia de la música en el aprendizaje [The influence of music in learning] [Google Scholar]
  28. Mendo-Lázaro S., Polo-del-Río M.I., Amado-Alonso D., Iglesias-Gallego D., León-del-Barco B. Self-concept in childhood: the role of body image and sport practice. Front. Psychol. 2017;8:853. doi: 10.3389/fpsyg.2017.00853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Miller M.J. The University of Sarasota; 1999. A Study of the Results of a Multiple Intelligence Survey. Among Chamorro and Chuukese Students in Guam Standard Hata Public Schools. [Google Scholar]
  30. Moran S., Kornhaber M., Gardner H. Orchestrating multiple intelligences. Educ. Leader. 2006;64:22–27. [Google Scholar]
  31. Özdilek Z. To what extent do different multiple intelligences affect sixth grade student’s achievement level on the particle model of matter? Procedia Soc. Behav. Sci. 2010;2:4858–4862. [Google Scholar]
  32. Reyna S.F., Ocampo D.M. Estrategias de aprendizaje y su relación con el aprovechamiento en el aprendizaje del idioma inglés [Learning strategies and their relation to enhancing English learning] In: Ocampo D.M., editor. Investigaciones en la enseñanza del idioma inglés: Evidencias empíricas (pp. 11-29). México: Fénix. 2012. (Coord.) [Google Scholar]
  33. Rodríguez M. Propiedades Psicométricas de La Escala MINDS Inteligencias Múltiples En Estudiantes de Secundaria de Cascas. Universidad Cesar Vallejo; 2016. [Google Scholar]
  34. Ruiz C. Escala de MINDS de Inteligencias Múltiples. Trujillo; Universidad Cesar Vallejo: 2004. [Google Scholar]
  35. Salavera C., Usán P., Chaverri I., Gracia N., Aure P., Delpueyo M. Emotional intelligence and creativity in first- and second- year primary school children. Procedia Soc. Behav. Sci. 2017;237:1179–1183. [Google Scholar]
  36. Savas P. Pre-service English as a foreign language teachers’ perception of the relationship between multiple intelligences and foreign language learning. Learn. Indiv Differ. 2012;22:850–855. [Google Scholar]
  37. Shearer B. Multiple intelligences in teaching and education: lessons learned from neuroscience. J. Intell. 2018;6:38. doi: 10.3390/jintelligence6030038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Shearer B. Multiple intelligences in gifted and talented education: lessons learned from neurosciences after 35 years. Roeper Rev. 2020;42:49–63. [Google Scholar]
  39. Shearer C.B., Karanian J.M. The neuroscience of intelligence: empirical support for the theory of multiple intelligences? Trends Neurosci. Educ. 2017;6:211–223. [Google Scholar]
  40. Tapia R.E., Castillo M.C., Velázquez S. A Mexican study of multiple intelligences for pre-service teachers of English as a foreign language. HOW J. 2013;20:170–189. [Google Scholar]
  41. Taylor A.M., Ritchie S.J., Deary I.J. Associations of intelligence across the life course with optimism and pessimism in older age. Intelligence. 2017;62:79–88. doi: 10.1016/j.intell.2017.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Torresan P. Intelligences and styles in language teaching: what is the difference? Didáctiva (Lengua y Literatura) 2007;9:315–325. [Google Scholar]
  43. Weissberg R., Durlak J., Domitrovich C., Gullota T. Social and emotional learning: past, present, and future. In: Durlak J., Domitrovich C., Weissberg R., Gullota T., editors. Handbook of Social and Emotional Learning. The Guilford Press; New York, NY: 2015. pp. 3–19. [Google Scholar]
  44. Yaumi M., Fatimah S., Sirate S., Patak A.A. SAGE Open; 2018. Investigating Multiple Intelligence-Based Instructions Approach on Performance Improvement of Indonesian Elementary Madrasah Teachers. [Google Scholar]
  45. Zysberg L. Emotional intelligence, anxiety, and emotional eating: a deeper insight into a recently reported association? Eat. Behav. 2018;29:128–131. doi: 10.1016/j.eatbeh.2018.04.001. [DOI] [PubMed] [Google Scholar]

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