Detecção automática de traços de personalidade e recomendação de agrupamento com o modelo Big Five
Resumo
A experiência de aprendizagem em ambientes virtuais pode ser significativamente melhorada através da introdução efetiva de aprendizagem colaborativa. A formação de grupos é um aspecto crucial para este tipo de aprendizagem. Devido à ausência de interação entre estudantes, esta tarefa torna-se complexa, sendo necessárias ferramentas para auxiliar a determinar agrupamentos para trabalho colaborativo. Este artigo é um esforço conjunto de dois grupos de pesquisa, visando promover o avanço da aprendizagem colaborativa, utilizando o modelo Big Five de personalidade, identificados nos textos produzidos pelos alunos. Os experimentos realizados independentemente foram comparados, demonstrando a viabilidade das propostas.
Palavras-chave:
traços de personalidade, Big Five, aprendizagem colaborativa, formação de grupos, agrupamento de estudantes
Referências
Akhtar, R., Boustani, L., Tsivrikos, D., and Chamorro-Premuzi, T. (2015). The engageable personality: Personality and trait EI as predictors of work engagement. Personality and Individual Differences, 73:44–49.
Alavi, M. (1994). Computer-mediated collaborative learning: An empirical evaluation. MIS Quarterly, 18:159–174.
Altanopoulou, P. and Tselios, N. (2015). How does personality affect wiki-mediated learning? In Proceedings of International Conference on Interactive Mobile and Communication Technologies and Learning, pages 16–18.
Andrade, J. M. (2008). Evidências de Validade do Inventário dos Cinco Grandes Fatores de Personalidade para o Brasil. PhD thesis, Instituto de Psicologia - Universidade de Brasília.
Balage Filho, P. P., Pardo, T. A. S., and Aluísio, S. M. (2013). An Evaluation of the Brazilian Portuguese LIWC Dictionary for Sentiment Analysis. 9th Brazilian Symposium in Information and Human Language Technology, pages 215–219.
Bozionelos, G. (2017). The relationship of the big-five with workplace network resources: More quadratic than linear. Personality and Individual Differences, 104:374–378.
Buiar, J., Pimentel, A., and Oliveira, L. (2017). Identificação de estilo de aprendizagem: Um modelo de inferência automatizado baseado no perfil de personalidade identificado nos textos produzidos pelo aluno. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), volume 28, page 1157.
Carro, R. M. and Sanchez-Horreo, V. (2017). The effect of personality and learning styles on individual and collaborative learning: Obtaining criteria for adaptation. In Global Engineering Education Conference (EDUCON), 2017 IEEE, pages 1585–1590. IEEE.
Cavnar, W. B., Trenkle, J. M., et al. (1994). N-gram-based text categorization. Ann Arbor, MI, 48113(2):161–175.
Costa, P. T. and McCrae, R. R. (1992). Neo personality inventory–revised (neo-pi-r) and neo five-factor inventory (neo-ffi) professional manual. Odessa, FL: Psychological Assessment Resources.
De Raad, B. (2000). The Big Five Personality Factors: The psycholexical approach to personality. Hogrefe & Huber Publishers.
Deary, I. J. (2009). The trait approach to personality. The Cambridge Handbook of Personality Psychology, pages 89–109.
Everson, M. (2011). What can you gain by teaching online? eLearn Magazine, 2011(1):3.
Galton, F. (1949). The Measurement of Character. Prentice-Hall, Inc.
Kassin, S. M. (2003). Essentials of psychology. Prentice Hall.
Kop, R. (2011). The challenges to connectivist learning on open online networks: Learning experiences during a massive open online course. The International Review of Research in Open and Distance Learning, 12(3):19–38.
Machado, A. A., Longhi, M. T., Nunes, M. A. S. N., and Pardo, T. A. S. (2015). Personalitatem lexicon: Um léxico brasileiro para mineração de traços de personalidade em textos. In Anais do XXVI Simpósio Brasileiro de Informação na Educação, pages 1122–1126.
Magnisalis, I., Demetriadis, S., and Karakostas, A. (2011). Adaptive and intelligent systems for collaboration learning support: A review of the field. IEEE Transactions on Learning Technologies, 4:5–20.
Majumder, N., Poria, S., Gelbukh, A., and Cambria, E. (2017). Deep learning-based document modeling for personality detection from text. IEEE Intelligent Systems, 32(2):74–79.
Manske, S., Hecking, T., Chounta, I. A., and Hoppe, H. U. (2015). Using differences to make a difference: a study on heterogeneity of learning groups. In Proceedings of International Conference on Computer Supported Collaborative Learning, pages 182–189.
McAdams, D. P. and Olson, B. D. (2010). Personality development: Continuity and change over the life course. Annual Review of Psychology, 61:517–542.
Meyer, G. J., Finn, S. E., Eyde, L. D., Kay, G. G., Moreland, K. L., Dies, R. R., Eisman, E. J., Kubiszyn, T. W., and Reed, G. M. (2001). Psychological testing and psychological assessment: A review of evidence and issues. American Psychologist, 56(2):128.
Michel, W., Shoda, Y., and Smith, R. (2004). Introduction to personality: Toward an integration.
Nunes, M., Moraes, D., and Reinert, D. (2010). Personality inventory-pv 1.0 (portuguese version). Instituto Nacional de Propriedade Industrial. (software register INPI-12093-0).
Paim, A., Camati, R., and Enembreck, F. (2016). Inferência de personalidade a partir de textos em português utilizando léxico linguístico e aprendizagem de máquina. In Anais do XIII Encontro Nacional de Inteligência Artificial e Computacional, pages 481–492.
Pennebaker, J. W., Francis, M. E., and Booth, R. J. (2001). Linguistic inquiry and word count: LIWC 2001. Mahwah: Lawrence Erlbaum Associates.
Roberts, S. G. B., Wilson, R., Fedurek, P., and Dunbar, R. I. M. (2008). Individual differences and personal social network size and structure. Personality and Individual Differences, 44:954–964.
Rutherfoord, R. H. (2006). Using personality inventories to form teams for class projects – a case study. In Proceedings of SIGITE 2006 Proceedings of the 7th conference on Information Technology Education, pages 9–14.
Tandera, T., Suhartono, D., Wongso, R., Prasetio, Y. L., et al. (2017). Personality prediction system from facebook users. Procedia Computer Science, 116:604–611.
Alavi, M. (1994). Computer-mediated collaborative learning: An empirical evaluation. MIS Quarterly, 18:159–174.
Altanopoulou, P. and Tselios, N. (2015). How does personality affect wiki-mediated learning? In Proceedings of International Conference on Interactive Mobile and Communication Technologies and Learning, pages 16–18.
Andrade, J. M. (2008). Evidências de Validade do Inventário dos Cinco Grandes Fatores de Personalidade para o Brasil. PhD thesis, Instituto de Psicologia - Universidade de Brasília.
Balage Filho, P. P., Pardo, T. A. S., and Aluísio, S. M. (2013). An Evaluation of the Brazilian Portuguese LIWC Dictionary for Sentiment Analysis. 9th Brazilian Symposium in Information and Human Language Technology, pages 215–219.
Bozionelos, G. (2017). The relationship of the big-five with workplace network resources: More quadratic than linear. Personality and Individual Differences, 104:374–378.
Buiar, J., Pimentel, A., and Oliveira, L. (2017). Identificação de estilo de aprendizagem: Um modelo de inferência automatizado baseado no perfil de personalidade identificado nos textos produzidos pelo aluno. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), volume 28, page 1157.
Carro, R. M. and Sanchez-Horreo, V. (2017). The effect of personality and learning styles on individual and collaborative learning: Obtaining criteria for adaptation. In Global Engineering Education Conference (EDUCON), 2017 IEEE, pages 1585–1590. IEEE.
Cavnar, W. B., Trenkle, J. M., et al. (1994). N-gram-based text categorization. Ann Arbor, MI, 48113(2):161–175.
Costa, P. T. and McCrae, R. R. (1992). Neo personality inventory–revised (neo-pi-r) and neo five-factor inventory (neo-ffi) professional manual. Odessa, FL: Psychological Assessment Resources.
De Raad, B. (2000). The Big Five Personality Factors: The psycholexical approach to personality. Hogrefe & Huber Publishers.
Deary, I. J. (2009). The trait approach to personality. The Cambridge Handbook of Personality Psychology, pages 89–109.
Everson, M. (2011). What can you gain by teaching online? eLearn Magazine, 2011(1):3.
Galton, F. (1949). The Measurement of Character. Prentice-Hall, Inc.
Kassin, S. M. (2003). Essentials of psychology. Prentice Hall.
Kop, R. (2011). The challenges to connectivist learning on open online networks: Learning experiences during a massive open online course. The International Review of Research in Open and Distance Learning, 12(3):19–38.
Machado, A. A., Longhi, M. T., Nunes, M. A. S. N., and Pardo, T. A. S. (2015). Personalitatem lexicon: Um léxico brasileiro para mineração de traços de personalidade em textos. In Anais do XXVI Simpósio Brasileiro de Informação na Educação, pages 1122–1126.
Magnisalis, I., Demetriadis, S., and Karakostas, A. (2011). Adaptive and intelligent systems for collaboration learning support: A review of the field. IEEE Transactions on Learning Technologies, 4:5–20.
Majumder, N., Poria, S., Gelbukh, A., and Cambria, E. (2017). Deep learning-based document modeling for personality detection from text. IEEE Intelligent Systems, 32(2):74–79.
Manske, S., Hecking, T., Chounta, I. A., and Hoppe, H. U. (2015). Using differences to make a difference: a study on heterogeneity of learning groups. In Proceedings of International Conference on Computer Supported Collaborative Learning, pages 182–189.
McAdams, D. P. and Olson, B. D. (2010). Personality development: Continuity and change over the life course. Annual Review of Psychology, 61:517–542.
Meyer, G. J., Finn, S. E., Eyde, L. D., Kay, G. G., Moreland, K. L., Dies, R. R., Eisman, E. J., Kubiszyn, T. W., and Reed, G. M. (2001). Psychological testing and psychological assessment: A review of evidence and issues. American Psychologist, 56(2):128.
Michel, W., Shoda, Y., and Smith, R. (2004). Introduction to personality: Toward an integration.
Nunes, M., Moraes, D., and Reinert, D. (2010). Personality inventory-pv 1.0 (portuguese version). Instituto Nacional de Propriedade Industrial. (software register INPI-12093-0).
Paim, A., Camati, R., and Enembreck, F. (2016). Inferência de personalidade a partir de textos em português utilizando léxico linguístico e aprendizagem de máquina. In Anais do XIII Encontro Nacional de Inteligência Artificial e Computacional, pages 481–492.
Pennebaker, J. W., Francis, M. E., and Booth, R. J. (2001). Linguistic inquiry and word count: LIWC 2001. Mahwah: Lawrence Erlbaum Associates.
Roberts, S. G. B., Wilson, R., Fedurek, P., and Dunbar, R. I. M. (2008). Individual differences and personal social network size and structure. Personality and Individual Differences, 44:954–964.
Rutherfoord, R. H. (2006). Using personality inventories to form teams for class projects – a case study. In Proceedings of SIGITE 2006 Proceedings of the 7th conference on Information Technology Education, pages 9–14.
Tandera, T., Suhartono, D., Wongso, R., Prasetio, Y. L., et al. (2017). Personality prediction system from facebook users. Procedia Computer Science, 116:604–611.
Publicado
29/10/2018
Como Citar
FERREIRA, Taís Borges; BUIAR, José Antonio; FERNANDES, Márcia Aparecida; PIMENTEL, Andrey Ricardo; OLIVEIRA, Luiz Eduardo S..
Detecção automática de traços de personalidade e recomendação de agrupamento com o modelo Big Five. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 29. , 2018, Fortaleza/CE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 1643-1652.
DOI: https://doi.org/10.5753/cbie.sbie.2018.1643.
