An Animated Pedagogical Agent supporting student learning using performance analysis from a Fuzzy Agent
Resumo
This paper presents a framework made up of agents that promote monitoring of the learning process in a Virtual Learning Environment (VLE) On the other hand. From the results of student performance in the VLE it was possible to perform the mapping of performance on formal tests. Having this mapping it is possible to evaluate whether the decision-making from the Fuzzy Agent (FA) is consistent with the intervention that the interface agent performs. The interface agent is an Animated Pedagogical Agent (APA) which has a specific behavior according to student performance, it is intended to transmit the messages to the student so it can track and monitor the whole learning process in the Virtual Learning Environment.
Palavras-chave:
Animated Pedagogical Agent, Fuzzy Agent, Virtual Learning Environment, Student Performance, Monitoring
Referências
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Behrend, Tara S.; Thompson, Lori Foster. Using animated agents in learner controlled training: the effects of design control,” International Journal of Training and Development, vol. 16, no. 4, pp. 263-283, 2012.
Chou, Shih-Wei; Liu, Chien-Hung. Learning effectiveness in a web-based virtual learning environment: a learner control perspective. Journal of Computer Assisted Learning, vol. 21, no. 1, pp. 65-76. 2005.
Ke, Fengfeng and Kwak, Dean. Constructs of student-centered online learning on learning satisfaction of a diverse online student body: A structural equation modeling approach. Journal of Educational Computing Research, 2013.
Li, Hua; Gupta, Madan M. Fuzzy Logic and Intelligent Systems. Springer, vol. 3. 1995.
Mateus, G. P.; Wilges, b.; Nassar, S. M., R. A. Silveira; Bastos, R. Reconhecendo as características dos estudantes por meio de um SMA e lógica fuzzy. RENOTE, vol. 8, no. 2, 2010.
Mateus, G. P.; Wilges b.; Nassar S. M.; Wronscki, V., Bastos, R. C. Um módulo adaptativo para AVA baseado no desempenho do estudante. In Anais do Simpósio Brasileiro de Informática na Educação, vol. 1, no. 1, 2011.
Mamdani, E. H.; Assilian, S. An experiment in linguistic synthesis with a fuzzy logic controller. International journal of man-machine studies. Vol. 51, no. 2, pp. 135–147, Aug. 1999. Available: DOI: 10.1006/ijhc.1973.0303
Rabello, R. dos Santos; Reategui E.; Costi, J. C. G. Um agente de interface aplicado ao ensino de equações de primeiro grau. RENOTE, vol. 5, no. 2, 2007.
Van Raaij, Erik M; Schepers, Jeroen JL. The acceptance and use of a virtual learning environment in china. Computers & Education, vol. 50, no. 3, pp. 838–852, 2008.
Wilges, B.; Mateus, g.; Nassar, s.; Bastos, R. Fuzzy modeling built through a data mining process,” Latin America Transactions, IEEE (Revista IEEE America Latina), vol. 10, no. 2, pp. 1622–1626, 2012.
Behrend, Tara S.; Thompson, Lori Foster. Using animated agents in learner controlled training: the effects of design control,” International Journal of Training and Development, vol. 16, no. 4, pp. 263-283, 2012.
Chou, Shih-Wei; Liu, Chien-Hung. Learning effectiveness in a web-based virtual learning environment: a learner control perspective. Journal of Computer Assisted Learning, vol. 21, no. 1, pp. 65-76. 2005.
Ke, Fengfeng and Kwak, Dean. Constructs of student-centered online learning on learning satisfaction of a diverse online student body: A structural equation modeling approach. Journal of Educational Computing Research, 2013.
Li, Hua; Gupta, Madan M. Fuzzy Logic and Intelligent Systems. Springer, vol. 3. 1995.
Mateus, G. P.; Wilges, b.; Nassar, S. M., R. A. Silveira; Bastos, R. Reconhecendo as características dos estudantes por meio de um SMA e lógica fuzzy. RENOTE, vol. 8, no. 2, 2010.
Mateus, G. P.; Wilges b.; Nassar S. M.; Wronscki, V., Bastos, R. C. Um módulo adaptativo para AVA baseado no desempenho do estudante. In Anais do Simpósio Brasileiro de Informática na Educação, vol. 1, no. 1, 2011.
Mamdani, E. H.; Assilian, S. An experiment in linguistic synthesis with a fuzzy logic controller. International journal of man-machine studies. Vol. 51, no. 2, pp. 135–147, Aug. 1999. Available: DOI: 10.1006/ijhc.1973.0303
Rabello, R. dos Santos; Reategui E.; Costi, J. C. G. Um agente de interface aplicado ao ensino de equações de primeiro grau. RENOTE, vol. 5, no. 2, 2007.
Van Raaij, Erik M; Schepers, Jeroen JL. The acceptance and use of a virtual learning environment in china. Computers & Education, vol. 50, no. 3, pp. 838–852, 2008.
Wilges, B.; Mateus, g.; Nassar, s.; Bastos, R. Fuzzy modeling built through a data mining process,” Latin America Transactions, IEEE (Revista IEEE America Latina), vol. 10, no. 2, pp. 1622–1626, 2012.
Publicado
03/11/2014
Como Citar
MATEUS, Gustavo; WILGES, Beatriz; DINIZ, Daniel; NASSAR, Silvia; WRONSCKI, Vilson; CISLAGHI, Renato.
An Animated Pedagogical Agent supporting student learning using performance analysis from a Fuzzy Agent. In: SIMPÓSIO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (SBIE), 25. , 2014, Dourados/MS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 90-98.
DOI: https://doi.org/10.5753/cbie.sbie.2014.90.
