Diagnóstico do Comportamento dos Aprendizes na Educação a Distância com Base no Estilo de Aprendizagem
Resumo
Os dados gerados pela utilização de sistemas como Ambientes Virtuais de Aprendizagem contêm informações que podem ser utilizadas para auxiliar os professores na tomada de decisão, que em alguns casos, pode ser requerida antes mesmo de se obter dados históricos. O Estilo de Aprendizagem pode complementar esses dados através do cruzamento com os padrões de comportamento histórico. Neste sentido, este trabalho propõe um modelo de utilização do Estilo de Aprendizagem no diagnóstico antecipado do comportamento de aprendizes na modalidade de Educação a Distância para o suporte à tomada de decisão. Os resultados alcançados em um experimento que focou na evasão sugerem que o Estilo de Aprendizagem pode ser usado para antecipação desse comportamento.
Palavras-chave:
Educação a Distância, Estilo de Aprendizagem, Diagnóstico, Comportamento, Ambientes Virtuais de Aprendizagem
Referências
Chen, C.-M., Hsieh, Y.-L., and Hsu, S.-H. (2007a). Mining learner profile utilizing association rule for web-based learning diagnosis. Expert Systems with Applications, 33(1):6 – 22.
Chen, C.-M., Li, C.-Y., Chan, T.-Y., Jong, B.-S., and Lin, T.-W. (2007b). Diagnosis of students online learning portfolios. Frontiers In Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports (FIE 2007), 37th Annual, pages 17 – 22.
Chen, L.-H. (2011). Enhancement of student learning performance using personalized diagnosis and remedial learning system. Computers & Education, 56(1):289 – 299.
Chen, S.-M. and Bai, S.-M. (2009). Learning barriers diagnosis based on fuzzy rules for adaptive learning systems. Expert Systems with Applications, 36(8):11211 – 11220.
Dey, A. K., Abowd, G. D., and Salber, D. (2001). A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction, 16(2):97 – 166.
Felder, R. M. and Silverman, L. (1988). Learning and teaching styles in engineering education. Engineering Education, 78(June):674 – 681.
Felder, R. M. and Soloman, B. (2013). Index of learning styles questionnaire. [link]. Acessed in 26/04/2013.
Jennings, N. R. (2001). An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35–41.
Johnson, G. and Johnson, J. (2010). Dimensions of online behavior: Implications for engineering e-learning. In Iskander, M., Kapila, V., and Karim, M. A., editors, Technological Developments in Education and Automation, pages 61–66. Springer Netherlands.
Jong, B.-S., Chan, T.-Y., and Wu, Y.-L. (2007). Learning log explorer in e-learning diagnosis. IEEE Transactions on Education, 50(3):216 – 228.
Kuri, N. P. and Giorgetti, M. F. (1996). ́Indice de estilos de aprendizagem (index of learning styles). Sao Paulo: Escola de Engenharia de S ̃ ao Carlos ̃ .
Lee, C.-H., Lee, G.-G., and Leu, Y. (2009). Application of automatically constructed concept map of learning to conceptual diagnosis of e-learning. Expert Systems with Applications, 36(2, Part 1):1675 – 1684.
Liao, S.-H., Chu, P.-H., and Hsiao, P.-Y. (2012). Data mining techniques and applications a decade review from 2000 to 2011. Expert Systems with Applications, 39(12):11303 – 11311.
Manghirmalani, P., Panthaky, Z., and Jain, K. (2011). Learning disability diagnosis and classification - a soft computing approach. IEEE World Congress on Information and Communication Technologies (WICT 2011), pages 479 – 484.
Moore, M. (1993). Theory of transactional distance. Routledge, Oxon.
Peterson, E. R., Rayner, S. G., and Armstrong, S. J. (2009). Researching the psychology of cognitive style and learning style: Is there really a future? Learning and Individual Differences, 19(4):518 – 523.
Riding, R. J. and Sadler-Smith, E. (1997). Cognitive Style and Learning Strategies: Some Implications for Training Design. International Journal of Training and Development, 1(3):199 – 208.
Schmeck, R. R. (1988). Learning Strategies and Learning Styles, page 368. Plenum.
Siemens, G. and Long, P. (2011). Penetrating the fog: Analytics in learning and education. Educause Review, 46(5):30–32.
Silva, J., Rosa, J., Barbosa, J., Barbosa, D., and Palazzo, L. (2010). Content distribution in trail-aware environments. Journal of the Brazilian Computer Society, 16(3):163 – 176.
Wu, Y. (2012). Adaptive learning diagnosis mechanisms for e-learning. Lecture Notes in Computer Science, 7196(Ldd):102 – 110.
Yoon, T.-B., Choi, M. A., Wang, E., Lee, J. H., and Kim, Y. S. (2007). Improvement of learning styles diagnosis based on outliers reduction of user interface behaviors. Ninth IEEE International Symposium on Multimedia Workshops (ISMW 2007), pages 497 – 503.
Chen, C.-M., Li, C.-Y., Chan, T.-Y., Jong, B.-S., and Lin, T.-W. (2007b). Diagnosis of students online learning portfolios. Frontiers In Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports (FIE 2007), 37th Annual, pages 17 – 22.
Chen, L.-H. (2011). Enhancement of student learning performance using personalized diagnosis and remedial learning system. Computers & Education, 56(1):289 – 299.
Chen, S.-M. and Bai, S.-M. (2009). Learning barriers diagnosis based on fuzzy rules for adaptive learning systems. Expert Systems with Applications, 36(8):11211 – 11220.
Dey, A. K., Abowd, G. D., and Salber, D. (2001). A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction, 16(2):97 – 166.
Felder, R. M. and Silverman, L. (1988). Learning and teaching styles in engineering education. Engineering Education, 78(June):674 – 681.
Felder, R. M. and Soloman, B. (2013). Index of learning styles questionnaire. [link]. Acessed in 26/04/2013.
Jennings, N. R. (2001). An agent-based approach for building complex software systems. Communications of the ACM, 44(4):35–41.
Johnson, G. and Johnson, J. (2010). Dimensions of online behavior: Implications for engineering e-learning. In Iskander, M., Kapila, V., and Karim, M. A., editors, Technological Developments in Education and Automation, pages 61–66. Springer Netherlands.
Jong, B.-S., Chan, T.-Y., and Wu, Y.-L. (2007). Learning log explorer in e-learning diagnosis. IEEE Transactions on Education, 50(3):216 – 228.
Kuri, N. P. and Giorgetti, M. F. (1996). ́Indice de estilos de aprendizagem (index of learning styles). Sao Paulo: Escola de Engenharia de S ̃ ao Carlos ̃ .
Lee, C.-H., Lee, G.-G., and Leu, Y. (2009). Application of automatically constructed concept map of learning to conceptual diagnosis of e-learning. Expert Systems with Applications, 36(2, Part 1):1675 – 1684.
Liao, S.-H., Chu, P.-H., and Hsiao, P.-Y. (2012). Data mining techniques and applications a decade review from 2000 to 2011. Expert Systems with Applications, 39(12):11303 – 11311.
Manghirmalani, P., Panthaky, Z., and Jain, K. (2011). Learning disability diagnosis and classification - a soft computing approach. IEEE World Congress on Information and Communication Technologies (WICT 2011), pages 479 – 484.
Moore, M. (1993). Theory of transactional distance. Routledge, Oxon.
Peterson, E. R., Rayner, S. G., and Armstrong, S. J. (2009). Researching the psychology of cognitive style and learning style: Is there really a future? Learning and Individual Differences, 19(4):518 – 523.
Riding, R. J. and Sadler-Smith, E. (1997). Cognitive Style and Learning Strategies: Some Implications for Training Design. International Journal of Training and Development, 1(3):199 – 208.
Schmeck, R. R. (1988). Learning Strategies and Learning Styles, page 368. Plenum.
Siemens, G. and Long, P. (2011). Penetrating the fog: Analytics in learning and education. Educause Review, 46(5):30–32.
Silva, J., Rosa, J., Barbosa, J., Barbosa, D., and Palazzo, L. (2010). Content distribution in trail-aware environments. Journal of the Brazilian Computer Society, 16(3):163 – 176.
Wu, Y. (2012). Adaptive learning diagnosis mechanisms for e-learning. Lecture Notes in Computer Science, 7196(Ldd):102 – 110.
Yoon, T.-B., Choi, M. A., Wang, E., Lee, J. H., and Kim, Y. S. (2007). Improvement of learning styles diagnosis based on outliers reduction of user interface behaviors. Ninth IEEE International Symposium on Multimedia Workshops (ISMW 2007), pages 497 – 503.
Publicado
03/11/2014
Como Citar
HEIDRICH, Leonardo; BARBOSA, Jorge; RIGO, Sandro; CAMBRUZZI, Wagner; RIBEIRO, Giovane.
Diagnóstico do Comportamento dos Aprendizes na Educação a Distância com Base no Estilo de Aprendizagem. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 25. , 2014, Dourados/MS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 412-421.
DOI: https://doi.org/10.5753/cbie.sbie.2014.412.
