Análise Conversacional para Diagnosticar e Recomendar a Colaboração em Ambientes Virtuais de Aprendizagem
Resumo
Ambientes Virtuais de Aprendizagem têm sido usados para apoiar a aprendizagem colaborativa, mas determinar a colaboração entre estudantes para incentivar continuamente a aprendizagem permanece sendo uma questão desafiadora. Como a análise conversacional pode fornecer um diagnóstico do nível de colaboração entre estudantes, este artigo apresenta três índices para mensurar as interações, perguntas e tópicos relevantes nas suas conversas. Com base nesses índices, são sugeridas recomendações para estudantes e professores a fim de melhorar a colaboração. Experimentos usando fóruns de discussão do Moodle foram realizados como prova de conceito, nos quais os participantes avaliaram as recomendações, indicando que os resultados são promissores.
Palavras-chave:
Análise Conversacional, Avaliação da Aprendizagem Colaborativa, Processamento de Linguagem Natural, Aprendizagem Colaborativa Apoiada por Computador, Inteligência Artificial na Educação, Tecnologia Educacional
Referências
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Vayansky, I. and Kumar, S. A. P. (2020). A review of topic modeling methods. Information Systems, v. 94.
Aggarwal, C. (2016). An Introduction to Recommender Systems. In: Aggarwal, C.[Ed.]. . Recommender Systems: The Textbook. Cham: Springer International Publishing, p. 1–28.
Allaymoun, M. H. and Trausan-Matu, S. (2015). Rhetorical structure analysis for assessing collaborative processes in CSCL. In 2015 19th International Conference on System Theory, Control and Computing (ICSTCC), p. 123–127.
Cavalcanti, A. P., Mello, R. F. L. De, Miranda, P. B. C. De and Freitas, F. L. G. De (2020). Análise Automática de Feedback em Ambientes de Aprendizagem Online. Anais do Simpósio Brasileiro de Informática na Educação, p. 892–901.
Dascalu, M., McNamara, D. S., Trausan-Matu, S. and Allen, L. K. (2018). Cohesion network analysis of CSCL participation. Behavior Research Methods, v. 50, n. 2, p. 604–619.
Farrow, E., Moore, J. and Gašević, D. (2019). Analysing discussion forum data: a replication study avoiding data contamination. In Proceedings of the 9th International Conference on Learning Analytics & Knowledge, LAK19. Association for Computing Machinery.
Gašević, D., Joksimović, S., Eagan, B. R. and Shaffer, D. W. (2019). SENS: Network analytics to combine social and cognitive perspectives of collaborative learning. Computers in Human Behavior, v. 92, p. 562–577.
Koschmann, T. (2013). Conversation Analysis and Collaborative Learning. In: Hmelo-Silver, C.; Chinn, C.; Chan, C.; O’Donnell, A.[Eds.]. . The International Handbook of Collaborative Learning. New York: Routledge Handbooks. p. 149–167.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, v. 22 140, p. 55–55.
Liu, Q., Huang, J., Wu, L., Zhu, K. and Ba, S. (2019). CBET: design and evaluation of a domain-specific chatbot for mobile learning. Universal Access in the Information Society.
Lu, J., Chiu, M. M. and Law, N. W. (2011). Collaborative argumentation and justifications: A statistical discourse analysis of online discussions. Computers in Human Behavior, v. 27, n. 2, p. 946–955.
Lyndall, C.-S. and Elspeth, M. (2015). Measuring engagement in online collaborative learning activities: A comparative analysis of the Conversational Framework and the Social Network Analysis tool. In 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE).
Michaels, S. (2016). Accountable Talk® Sourcebook: For Classroom Conversation that Works. p. 46.
Michaels, S. and O’Connor, C. (2015). Conceptualizing Talk Moves as Tools: Professional Development Approaches for Academically Productive Discussions. In: Resnick, L. B.; Asterhan, C. S. C.; Clarke, S. N.[Eds.]. . Socializing Intelligence Through Academic Talk and Dialogue. American Educational Research Association. p. 347–361.
Moraes Neto, A. J., Fernandes, M. A. and Amiel, T. (2020). Chatbot e Análise Conversacional para Recomendação da Aprendizagem Colaborativa na EaD. Anais do Simpósio Brasileiro de Informática na Educação, p. 1142–1151.
Moraes Neto, A. J., Fernandes, M. A. and Amiel, T. (2022). Conversational Analysis to Recommend Collaborative Learning in Distance Education. [link], [accessed on Aug 12].
Oliveira, I., Tinoca, L. and Pereira, A. (2011). Online group work patterns: How to promote a successful collaboration. Computers & Education, v. 57, n. 1, p. 1348–1357.
Pennebaker, J. W., Boyd, R. L., Jordan, K. and Blackburn, K. (2015). The Development and Psychometric Properties of LIWC2015.
Pereira, G. de M. (2018). Características inerentes a medidas de centralidade e uso de algoritmos de aprendizado de máquina para classificação de bridging nodes.
Procter, M., Lin, F. and Heller, B. (2018). Intelligent intervention by conversational agent through chatlog analysis. Smart Learning Environments, v. 5, n. 1, p. 30.
Saqr, M., Nouri, J. and Jormanainen, I. (2019). A Learning Analytics Study of the Effect of Group Size on Social Dynamics and Performance in Online Collaborative Learning. In Scheffel, M., Broisin, J., Pammer-Schindler, V., Ioannou, A., and Schneider, J., editors, Transforming Learning with Meaningful Technologies. Lecture Notes in Computer Science, p. 466–479. Springer International Publishing.
Schulte, L. (2021). Investigating topic modeling techniques for historical feature location.
Shannon, P., Markiel, A., Ozier, O., et al. (2003). Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks. Genome Research, v. 13, n. 11, p. 2498–2504.
Stahl, G. (2012). A view of Computer-Supported Collaborative Learning research and its Lessons for Future-Generation Collaboration Systems.
Tawfik, A., Graesser, A. and Love, J. (2020). Supporting Project-Based Learning Through the Virtual Internship Author (VIA). Technology, Knowledge and Learning, v. 25, n. 2, p. 433–442.
Tegos, S., Demetriadis, S., Psathas, G. and Tsiatsos, T. (2020). A Configurable Agent to Advance Peers’ Productive Dialogue in MOOCs. In Følstad, A., Araujo, T., Papadopoulos, S., Law, E. L.-C., Granmo, O.-C., Luger, E., and Brandtzaeg, P. B., editors, Chatbot Research and Design, Lecture Notes in Computer Science. Springer International Publishing.
Uthus, D. C. and Aha, D. W. (2013). Multiparticipant chat analysis: A survey. Artificial Intelligence, v. 199–200, p. 106–121.
Vayansky, I. and Kumar, S. A. P. (2020). A review of topic modeling methods. Information Systems, v. 94.
Publicado
16/11/2022
Como Citar
MORAES NETO, Antônio J.; COSTA, Newarney T.; FERNANDES, Márcia A.; AMIEL, Tel.
Análise Conversacional para Diagnosticar e Recomendar a Colaboração em Ambientes Virtuais de Aprendizagem. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 33. , 2022, Manaus.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 1209-1221.
DOI: https://doi.org/10.5753/sbie.2022.225776.
