A Collaborative Case Study System for Distance Learning

  • Authors:
  • Marta C. Rosatelli;John A. Self

  • Affiliations:
  • Prog. de Pó/s Graduaç/ã/o em Informá/tica, Univ. Cató/lica de Santos, R. Dr. Carvalho de Mendonç/a, S-SP, Brazil, 11070-906. rosatelli@unisantos.edu.br/ www.unisantos.br/me ...;Computer Based Learning Unit, University of Leeds, Leeds LS2 9JT, UK. jas@cbl.leeds.ac.uk/ http://www.cbl.leeds.ac.uk/~jas/home-page.html

  • Venue:
  • International Journal of Artificial Intelligence in Education
  • Year:
  • 2004

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Abstract

Distance Learning from Case Studies involves enabling collaboration between two or more learners at a distance on a case study activity. In this paper we present an empirical qualitative study that simulates a learning scenario in which a pair of subjects at a distance are provided with a collaborative learning environment and required to collaborate in order to solve a case study. The results of this empirical qualitative study have implications that informed the design of a system: LeCS (Learning from Case Studies). LeCS is a web-based collaborative case study system that can be applied to any domain in which the learning from case studies method is used. It provides a set of tools for geographically dispersed students working collaboratively on the case study solution. In addition, it accomplishes functions regarding the learning process that together give real-time support to the distant learners during the development of the case study solution. The paper gives a general description of LeCS: its user interface, implementation, and agent-based architecture. Moreover, it describes how LeCS addresses the recommendations derived from the empirical study.