An Agent-Based System for Supporting Learning from Case Studies

  • Authors:
  • Marta C. Rosatelli;John A. Self;Tulio V. D. Christofoletti

  • Affiliations:
  • -;-;-

  • Venue:
  • IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
  • Year:
  • 2002

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Abstract

A main issue in collaborative learning is providing support and monitoring both the individual learners and the group activities. In this sense, there is a variety of functions that might be accomplished by a collaborative learning support system. Some examples are: knowledge diagnosis and evaluation, group and individual feedback, student and group modelling, and so on. LeCS (Learning from Case Studies) is a collaborative case study system that provides a set of tools and accomplishes some functions that together support learners during the development of a case study solution. This paper gives an overview of LeCS, focusing on the system design and architecture. The LeCS design is based on our model of supporting the learning from case studies method in a computer-based environment and in a distance learning context. The LeCS architecture is agent-based and includes three kinds of agents.