Learning Style identification and usage in academia: A systematic mapping
Resumo
The different learning style models and applications might be an obstacle for those who are seeking to start to work in this field. Also, one might not be able to find some key papers that many regard as good starting points. This paper presents a systematic mapping, done with 102 papers, in regards to learning style identification and usage, and seeks to create a starting point for those who are starting to work on these research fields. The results show the predominance of a few learning style models and learning object metadata models. Also, there is a high amount of works focusing on personal solutions with non-automatic detection and adaptation models.
Palavras-chave:
Learning Style, Learning Object, Learning Management System
Referências
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Coffield, F., Moseley, D., Hall, E., Ecclestone, K., et al. (2004). Learning styles and pedagogy in post-16 learning: A systematic and critical review. Learning and Skills Research Centre London.
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Felder, R. M., Silverman, L. K., et al. (1988). Learning and teaching styles in engineering education. Engineering education, 78(7):674–681.
Felder, R. M. and Soloman, B. A. (1997). Index of learning styles questionnaire. Retrieved July, 20:2009.
Ferreira, L. D., Spadon, G., Carvalho, A. C., and Rodrigues, J. F. (2018). A comparative analysis of the automatic modeling of learning styles through machine learning techniques. In 2018 IEEE Frontiers in Education Conference (FIE), pages 1–8. IEEE.
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Hamada, M. and Hassan, M. (2017). An enhanced learning style index: Implementation and integration into an intelligent and adaptive e-learning system. Eurasia Journal of Mathematics, Science and Technology Education, 13(8):4449–4470.
Honey, P. and Mumford, A. (1982a). The Manual of Learning Styles. Peter Honey, Ardingley House, 10 Liden Avenue, Maidenhead, Berkshire UK. ISBN: 0950844403.
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Kirschner, P. A. (2017). Stop propagating the learning styles myth. Computers & Education, 106:166–171.
Kitchenham, B. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering.
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Lewis, M. (2014). Learning styles, motivations, and resource needs of students enrolled in a massive open online class. North Carolina, Chapel Hill. Recovered from [link] - Access in 2019/26/05.
Londono, L. F., Duque-Mendez, N. D., and Tabares-Morales, V. (2018). Multi-agents for simulate preferences of students in loselection. In International Conference on Practical Applications of Agents and Multi-Agent Systems, pages 360–370. Springer.
Muhammad, H. S. (2015). Using q-learning for recommend learning object one-learning system. Proceeding of the Electrical Engineering Computer Science and Informatics, 2(1): 240–242.
Nichols, M. (2003). A theory for e-learning. Educational technology & society, 6(2): 1–10.
Petersen, K., Feldt, R., Mujtaba, S., and Mattsson, M. (2008). Systematic mapping studies in software engineering. In Ease, volume 8, pages 68–77.
Phillips, J. (2019). Are “learning styles” real? Dialog on Language Instruction, 29(1): 32–35. From the Defense Language Institute: Foreign Language Center, Presidio Monterey.
Popescu, E. (2009). Diagnosing students’ learning style in an educational hypermedia system. In Cognitive and emotional processes in Web-based education: Integrating human factors and personalization, pages 187–208. IGI Global.
Popescu, E. (2010). A unified learning style model for technology-enhanced learning: What, why and how? International Journal of Distance Education Technologies (IJDET), 8(3): 65–81.
Riechmann, S. W. and Grasha, A. F. (1974). A rational approach to developing and assessing the construct validity of a student learning styles scales instrument. The Journal of Psychology, 87(2): 213–223.
Shuib, N. L. M., Chiroma, H., Abdullah, R., Ismail, M. H., Shuib, A. S. M., and Pahme, N. F. M. (2014). Data mining approach: Relevance vector machine for the classification of learning style based on learning objects. In 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, pages 170–175. IEEE.
Turkle, S. (2004). How computers change the way we think. In The Chronicle of Higher Education, volume 50, chapter The Chronicle Review, page B26. The Chronicle of Higher Education Inc. Available at: [link] 2019/05/22.
VARK Learn Ltd. The vark questionnaire. [link] - Access in 2019/25/05.
Anitha, D. and Deisy, C. (2015). Proposing a novel approach for classification and sequencing of learning objects in e-learning systems based on learning style. Journal of Intelligent & Fuzzy Systems, 29(2):539–552.
Barbe, W. B., Swassing, R. H., and Milone, M. N. (1979). Teaching through modality strengths: concepts practices. Zaner-Bloser, Columbus, Ohio. ISBN 0883091003. OCLC 5990906.
Briggs, K. C. and Myers, I. B. (1944). Briggs Myers Type Indicator Handbook. Privately Published.
Chislett, V. (2005). Vak learning style questionnaire. [link] - Access in 2019/25/05.
Coffield, F., Moseley, D., Hall, E., Ecclestone, K., et al. (2004). Learning styles and pedagogy in post-16 learning: A systematic and critical review. Learning and Skills Research Centre London.
do Nascimento, P., Barreto, R., Primo, T., Gusmão, T., and Oliveira, E. (2017). Recomendação de objetos de aprendizagem baseada em modelos de estilos de aprendizagem: Uma revisão sistemática da literatura. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação), volume 28, page 213.
Egana, M. L. D., Revuelta, M. J. C., and González, P. G. (2018). Analysis of the learning styles measurement tools1 análisis de las herramientas de medición de los estilos de aprendizaje. Quarterly Journal Starting year: 1952, 381:89–125.
Felder, R. M., Silverman, L. K., et al. (1988). Learning and teaching styles in engineering education. Engineering education, 78(7):674–681.
Felder, R. M. and Soloman, B. A. (1997). Index of learning styles questionnaire. Retrieved July, 20:2009.
Ferreira, L. D., Spadon, G., Carvalho, A. C., and Rodrigues, J. F. (2018). A comparative analysis of the automatic modeling of learning styles through machine learning techniques. In 2018 IEEE Frontiers in Education Conference (FIE), pages 1–8. IEEE.
Fleming, N. D. and Mills, C. (1992). Not another inventory, rather a catalyst for reflection. To improve the academy, 11(1):137–155.
Hamada, M. and Hassan, M. (2017). An enhanced learning style index: Implementation and integration into an intelligent and adaptive e-learning system. Eurasia Journal of Mathematics, Science and Technology Education, 13(8):4449–4470.
Honey, P. and Mumford, A. (1982a). The Manual of Learning Styles. Peter Honey, Ardingley House, 10 Liden Avenue, Maidenhead, Berkshire UK. ISBN: 0950844403.
Honey, P. and Mumford, A. (1982b). Manual of learning styles london: P. Schmeck, RR.
Kirschner, P. A. (2017). Stop propagating the learning styles myth. Computers & Education, 106:166–171.
Kitchenham, B. and Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering.
Kolb, D. A. (1984). Experience as the source of learning and development. Upper Saddle River: Prentice Hall.
Lewis, M. (2014). Learning styles, motivations, and resource needs of students enrolled in a massive open online class. North Carolina, Chapel Hill. Recovered from [link] - Access in 2019/26/05.
Londono, L. F., Duque-Mendez, N. D., and Tabares-Morales, V. (2018). Multi-agents for simulate preferences of students in loselection. In International Conference on Practical Applications of Agents and Multi-Agent Systems, pages 360–370. Springer.
Muhammad, H. S. (2015). Using q-learning for recommend learning object one-learning system. Proceeding of the Electrical Engineering Computer Science and Informatics, 2(1): 240–242.
Nichols, M. (2003). A theory for e-learning. Educational technology & society, 6(2): 1–10.
Petersen, K., Feldt, R., Mujtaba, S., and Mattsson, M. (2008). Systematic mapping studies in software engineering. In Ease, volume 8, pages 68–77.
Phillips, J. (2019). Are “learning styles” real? Dialog on Language Instruction, 29(1): 32–35. From the Defense Language Institute: Foreign Language Center, Presidio Monterey.
Popescu, E. (2009). Diagnosing students’ learning style in an educational hypermedia system. In Cognitive and emotional processes in Web-based education: Integrating human factors and personalization, pages 187–208. IGI Global.
Popescu, E. (2010). A unified learning style model for technology-enhanced learning: What, why and how? International Journal of Distance Education Technologies (IJDET), 8(3): 65–81.
Riechmann, S. W. and Grasha, A. F. (1974). A rational approach to developing and assessing the construct validity of a student learning styles scales instrument. The Journal of Psychology, 87(2): 213–223.
Shuib, N. L. M., Chiroma, H., Abdullah, R., Ismail, M. H., Shuib, A. S. M., and Pahme, N. F. M. (2014). Data mining approach: Relevance vector machine for the classification of learning style based on learning objects. In 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, pages 170–175. IEEE.
Turkle, S. (2004). How computers change the way we think. In The Chronicle of Higher Education, volume 50, chapter The Chronicle Review, page B26. The Chronicle of Higher Education Inc. Available at: [link] 2019/05/22.
VARK Learn Ltd. The vark questionnaire. [link] - Access in 2019/25/05.
Publicado
11/11/2019
Como Citar
DE ALMEIDA, Miguel Alvim; DE SOUZA, Jairo Francisco; BARRÈRE, Eduardo.
Learning Style identification and usage in academia: A systematic mapping. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 30. , 2019, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 1341-1350.
DOI: https://doi.org/10.5753/cbie.sbie.2019.1341.
