Multiagent System for Detecting Passive Students in Problem-Based Learning
A computer-supported collaborative learning environment can enable students in web-based distance education courses to interact with each other and with one or more facilitators to conduct group work. Problem-based learning (PBL) is a learning theory that emphasizes the use of collaboration and teamwork to solve problems. However, a problem that occurs frequently in the implementation of PBL is the presence of passive students, usually students who have difficulty working in teams to solve problems. In face to face teaching, in classes of appropriate sizes, the facilitator can easily detect the presence of students with this profile and try to correct this situation to improve the learning process. In distance learning, however, this is not a trivial task, mainly due to issues related to the geographic distribution of students and the lack of information about their levels of motivation. Therefore, this paper presents a multiagent system for detecting passive students in PBL in virtual learning environments to detect and correct this undesired situation and improve the learning process.
KeywordsInternal State Multiagent System Virtual Learning Environment Interface Agent Postgraduate Program
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- 1.Azevedo, H., Scalabrin, E.E.: A human collaborative learning environment using intelligent agents. In: Lin, F.O. (ed.) Designing distributed Learning Environments with Intelligent Software Agents, pp. 1–32. Information Science Publishing, United Kingdom (2005)Google Scholar
- 2.Hmelo-Silver, C.: Problem-Based Learning: What and How Do Students Learn? Educational Psychology Review 16(3) (2004)Google Scholar
- 4.Moisil, I., Pah, I., Barbat, B., Popa, E.: Socio-cultural modelling of the student as the main actor of a virtual learning environment. In: Proc. of the 8th WSEAS Int. Conf. on Mathematical Methods and Computational Techniques in Electrical Engineering, vol. 119 (2006)Google Scholar
- 5.Otake, M., Fukano, R., Sako, S., Sugi, M., Kotani, K., Hayashi, J., Noguchi, H., Yoneda, R., Taura, K., Otsu, N., et al.: Autonomous collaborative environment for project-based learning. Robotics and Autonomous Systems (2007)Google Scholar
- 8.Savery, J.: Overview of problem-based learning: Definitions and distinctions. The Interdisciplinary Journal of Problem-based Learning 1(1), 9–20 (2006)Google Scholar
- 9.Sendag, S., Ferhan Odabas, H.: Effects of an online problem based learning course on content knowledge acquisition and critical thinking skills. Computers & Education (2009)Google Scholar
- 10.Strobel, J., van Barneveld, A.: When is PBL More Effective? A Meta-synthesis of Meta-analyses Comparing PBL to Conventional Classrooms. Interdisciplinary Journal of Problem-based Learning 3(1), 4 (2009)Google Scholar
- 12.Vizcaíno, A.: A simulated student can improve collaborative learning. International Journal of Artificial Intelligence in Education 15(1), 3–40 (2005)Google Scholar
- 13.Weiss, G.: Multiagent systems: a modern approach to distributed artificial intelligence. The MIT press, Cambridge (1999)Google Scholar