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Interfaces Modelization in Computerized Adaptive Testing (CAT) for Learning Optimization
PROCEEDINGS

, , , , Université du Québec à Montréal, Canada

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Quebec City, Canada ISBN 978-1-880094-63-1 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

Rapid Internet expansion over the past years caused the development of the online learning human-computer interfaces (HCI) and collaborative work fields. Many E-learning systems were designed with a rigid structure. The online learning system Web servers and human-computer interfaces are only dedicated to a predetermined course of sequence of learning objects. An academic E-learning system could not adapt itself to teach professional formation or technical skill. The same affirmation holds for a corporate formation online learning system that could not be used for military online training. The actual solution to these actual problems is to allow different web servers for supporting either online or E-learning courses dispensing formation in academic, professional or military training domains. The authors of this papers are proposing a solution to these problems by the presentation of partial results consisting of a Flash application for question data entry and retrieving in IMS-QTI format.

Citation

Lesage, M., Raîche, G., Riopel, M. & Sodoke, K. (2007). Interfaces Modelization in Computerized Adaptive Testing (CAT) for Learning Optimization. In T. Bastiaens & S. Carliner (Eds.), Proceedings of E-Learn 2007--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 342-351). Quebec City, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved November 19, 2019 from .

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