Um Agente de Interface para mediar a Interação em um Ambiente Virtual de Aprendizagem
Resumo
A crescente inserção dos ambientes virtuais no processo de aprendizagem vem trazendo novos desafios a área de Informática na Educação. Entre eles, está o projeto de ambientes que facilitam ao aluno o acesso ao grande volume de informações. Neste contexto, este artigo apresenta um assistente pessoal cujo objetivo é suportar e estimular a interação dos alunos de ambientes virtuais de aprendizagem, fornecendo o suporte apropriado a cada perfil de aluno. O assistente pessoal, modelado em uma abordagem multiagente, faz parte de uma sociedade na qual cada agente controla uma funcionalidade específica, e um agente mediador define qual deles deve entrar em ação a cada momento. Este artigo aborda com mais detalhes os agentes que suportam a interação entre os alunos.Referências
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Boff, E., Vicari, R. M., Flores, C. D., Reategui, E. B. (2007) A Probabilistic Agent to support Collaboration in a Medical Learning Environment. In: 13th Portuguese Conference on Artificial Intelligence, Guimarães. 4th Workshop on Multi-Agent Systems: Theory and Applications, 2007.
Dillenburg, P. 2000. Virtual Learning Environments. Proc. of EUN Conference 2000 - Workshop on Virtual Learning Environments. Disponível em: [link]
Geyer-Schulz, A., Hahsler, M., Jahn, M. (2001). Educational and scientific recommender systems: Designing the information channels of the virtual university. International Journal of Engineering Education, 17(2), 153-163.
Herlocker, J. L. et al. (2004). Evaluating Collaborative Filtering Recommender Systems. ACM Transactions on Information Systems, New York, v.22, n.1, p. 5-53. Jan.
Huitt, W. (2001). Motivation to learn: An overview. Educational Psychology Interactive. Valdosta, GA: Valdosta State University. Disponível em: [link]
Maes, P. (1994). Agents that reduce work and information overload. Communications of the ACM, 37(7):31–40.
Oliveira, F. M.; Vicari, R. M. (1996) “Are learning systems distributed or social systems.” In: European Conference on AI in Education. Lisbon: [s.n].
Paloff, R. M., Pratt, K. (2001). Lessons from the Cyberspace Classroom. 17th Annual Conference on Distance Teaching and Learning. Madison, Wisconsin, August 8-10, 2001.
Pan, Z., Zhu, J., Zhang, M., Hu, W. Collaborative Virtual Learning Environment Using Synthetic Characters. Advances in Web-Based Learning – ICWL 2005. Lecture Notes in Computer Science, Volume 3583. Bernlin/Heidelberg: Springer. 2005.
Pandzic, I. S., Ostermann, J. and Millen, D. (1999). User Evaluation: Synthetic Talking Faces for Interactive Services. The Visual Computer, Springer Verlag, vol. 15. pp. 330–340.
Peterson, M. (1997). Skills to Enhance Problem-based Learning. Med Educ Online [serial online] 1997; 2,3. From: URL [link]
Picard, R. W., Papert, S., Bender, W., Blumberg, B., Breazeal, C., Cavallo, D., Machover, T., Resnick, M., Roy, D., Strohecker, C. Affective Learning: A manifesto. BT Technology Journal, Vol 22, No 4. October 2004.
Reategui, E.; Boff, E.; Campbell, J. A. (2007) Using a Virtual Character in Personalized Recommendations. In: Technical Symposium on Computer Science Education, 2007, Covington, Kentucky, USA. Proceedings of ACM SIGCSE 2007, 2007. p. 180-184.
Sellami, H.M. Some difficulties in distance learning in developing countries. ICALT 2005. Fifth IEEE International Conference on Volume Advanced Learning Technologies, 5-8 July 2005. Page(s): 1005 - 1006.
Shardanand, U; Maes, P. (1995). Social information filtering: Algorithms for automating "word of mouth”, In: Proceedings of Human Factors in Computing Systems, p. 210-217.
Sison, R. e Masamichi, S. (1998). Student Modeling and Machine Learning. International Journal of Artificial Intelligence in Education, 9, 128-158.
Slavin, R.E. (1991) Cooperative learning: theory, research and practice. Englewoods Cliffs, NJ: Prentice Hall.
Vygotsky, L. S. The collected works of L. S. Vygotsky. New York: Plenum Press, c1987-c1999 v. 1-6.
Wallace, R. (2003). "The Elements of AIML Style", ALICE A. I. Foundation.
Wooldridge, M. (2002) An introduction to multiagent systems. Chichester: J. Wiley, 2002. 348 p.
Boff, E., Vicari, R. M., Flores, C. D., Reategui, E. B. (2007) A Probabilistic Agent to support Collaboration in a Medical Learning Environment. In: 13th Portuguese Conference on Artificial Intelligence, Guimarães. 4th Workshop on Multi-Agent Systems: Theory and Applications, 2007.
Dillenburg, P. 2000. Virtual Learning Environments. Proc. of EUN Conference 2000 - Workshop on Virtual Learning Environments. Disponível em: [link]
Geyer-Schulz, A., Hahsler, M., Jahn, M. (2001). Educational and scientific recommender systems: Designing the information channels of the virtual university. International Journal of Engineering Education, 17(2), 153-163.
Herlocker, J. L. et al. (2004). Evaluating Collaborative Filtering Recommender Systems. ACM Transactions on Information Systems, New York, v.22, n.1, p. 5-53. Jan.
Huitt, W. (2001). Motivation to learn: An overview. Educational Psychology Interactive. Valdosta, GA: Valdosta State University. Disponível em: [link]
Maes, P. (1994). Agents that reduce work and information overload. Communications of the ACM, 37(7):31–40.
Oliveira, F. M.; Vicari, R. M. (1996) “Are learning systems distributed or social systems.” In: European Conference on AI in Education. Lisbon: [s.n].
Paloff, R. M., Pratt, K. (2001). Lessons from the Cyberspace Classroom. 17th Annual Conference on Distance Teaching and Learning. Madison, Wisconsin, August 8-10, 2001.
Pan, Z., Zhu, J., Zhang, M., Hu, W. Collaborative Virtual Learning Environment Using Synthetic Characters. Advances in Web-Based Learning – ICWL 2005. Lecture Notes in Computer Science, Volume 3583. Bernlin/Heidelberg: Springer. 2005.
Pandzic, I. S., Ostermann, J. and Millen, D. (1999). User Evaluation: Synthetic Talking Faces for Interactive Services. The Visual Computer, Springer Verlag, vol. 15. pp. 330–340.
Peterson, M. (1997). Skills to Enhance Problem-based Learning. Med Educ Online [serial online] 1997; 2,3. From: URL [link]
Picard, R. W., Papert, S., Bender, W., Blumberg, B., Breazeal, C., Cavallo, D., Machover, T., Resnick, M., Roy, D., Strohecker, C. Affective Learning: A manifesto. BT Technology Journal, Vol 22, No 4. October 2004.
Reategui, E.; Boff, E.; Campbell, J. A. (2007) Using a Virtual Character in Personalized Recommendations. In: Technical Symposium on Computer Science Education, 2007, Covington, Kentucky, USA. Proceedings of ACM SIGCSE 2007, 2007. p. 180-184.
Sellami, H.M. Some difficulties in distance learning in developing countries. ICALT 2005. Fifth IEEE International Conference on Volume Advanced Learning Technologies, 5-8 July 2005. Page(s): 1005 - 1006.
Shardanand, U; Maes, P. (1995). Social information filtering: Algorithms for automating "word of mouth”, In: Proceedings of Human Factors in Computing Systems, p. 210-217.
Sison, R. e Masamichi, S. (1998). Student Modeling and Machine Learning. International Journal of Artificial Intelligence in Education, 9, 128-158.
Slavin, R.E. (1991) Cooperative learning: theory, research and practice. Englewoods Cliffs, NJ: Prentice Hall.
Vygotsky, L. S. The collected works of L. S. Vygotsky. New York: Plenum Press, c1987-c1999 v. 1-6.
Wallace, R. (2003). "The Elements of AIML Style", ALICE A. I. Foundation.
Wooldridge, M. (2002) An introduction to multiagent systems. Chichester: J. Wiley, 2002. 348 p.
Publicado
20/05/2009
Como Citar
RIBEIRO, Alexandre M.; BOFF, Elisa; REATEGUI, Eliseo B..
Um Agente de Interface para mediar a Interação em um Ambiente Virtual de Aprendizagem. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 3. , 2009, Caxias do Sul/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2009
.
p. 31-40.
ISSN 2326-5434.
DOI: https://doi.org/10.5753/wesaac.2009.33095.
