Title: Generation, testing and recommendation of teaching materials using classification learning

Authors: Arnoldo Rodriguez

Addresses: Universidad de Costa Rica, Sede Regional del Atlantico, Turrialba, Costa Rica

Abstract: The study focuses on problems related to the application of Artificial Intelligence (AI) in Human-Computer Interaction (HCI) for Educational Adaptive Hypermedia (EAH). It analyses how to apply Machine Learning (ML) techniques to support teachers in authoring teaching materials. AI principles and techniques are applied to the generation, testing and recommendation of teaching materials (computer network topologies), as a way to providing Web-based help. It also studies the use of teacher-related data to support the recommendation of teaching materials and the adaptation of Web-based help. The subject of application of this study is teaching decision-making skills in network design.

Keywords: automatic case generation; recommender systems; machine learning; adaptive help; educational adaptive hypermedia; teaching materials; classification learning; artificial intelligence; human-computer interaction; HCI; authoring; computer network topologies; internet; decision making; network design.

DOI: 10.1504/IJAMC.2008.020182

International Journal of Advanced Media and Communication, 2008 Vol.2 No.3, pp.308 - 324

Published online: 07 Sep 2008 *

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