Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
A computer-supported cooperative learning system with multiagent intelligence
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Using virtual characters in personalized recommendations
Proceedings of the 38th SIGCSE technical symposium on Computer science education
Interactive processes and learning attitudes in a web-based problem-based learning (PBL) platform
Computers in Human Behavior
A Simulated Student Can Improve Collaborative Learning
International Journal of Artificial Intelligence in Education
International Journal of Artificial Intelligence in Education
Autonomous collaborative environment for project-based learning
Robotics and Autonomous Systems
Socio-cultural modelling of the student as the main actor of a virtual learning environment
MMACTEE'06 Proceedings of the 8th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Cognitive architectures: Research issues and challenges
Cognitive Systems Research
Conversational learning integration in technology enhanced classrooms
Computers in Human Behavior
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A computer-supported collaborative learning environment can enable the students of web-based distance education courses to interact with each other and with one or more facilitators to conduct group work. The problem- based learning (PBL) is a learning theory that emphasizes collaboration and teamwork to solve a problem. However, a problem that occurs frequently in the implementation of PBL is the out-of-context conversation, which is a situation in which the students lose focus and start talking about topics that are not related to the discussion. In presential learning, the teacher can easily detect this problem and try to avoid it in order to improve the learning process. In distance learning, however, detecting this problem is not a trivial task. That is mostly due to issues related to the students' geographic distribution and the lack of information regarding their motivation. Another noteworthy aspect is the creation of workgroups. In PBL, the members of a workgroup that is responsible for solving a problem must have certain complementary knowledge and skills related to the problem, and it might be difficult for the facilitator to assign students to workgroups, since the lack of presential contact makes it difficult to perceive important characteristics of the students' profiles. Then, this paper presents an agent-based architecture for detecting out-of-context conversation and for helping in the creation of workgroups on the PBL.