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Journal Articles International Journal of Artificial Intelligence in Education Year : 2004

A Collaborative Case Study System For Distance Learning

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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. (http://aied.inf.ed.ac.uk/members04/archive/Vol_14/Rosatelli/Rosatelli04.html)
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Dates and versions

hal-00197307 , version 1 (14-12-2007)

Identifiers

  • HAL Id : hal-00197307 , version 1

Cite

Marta C. Rosatelli, John Self. A Collaborative Case Study System For Distance Learning. International Journal of Artificial Intelligence in Education, 2004, 14, pp.97-125. ⟨hal-00197307⟩

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