MALESAbrain for Problem-Based Learning in IT Education

Authors:
Akcell Chiang;Mohd Sapiyan Baba
Affiliations:
Tung Nan Institute of Technology;University of Malaya
Venue:
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Year:
2005

Citing 2
Cited 1

Machine Learning

Machine Learning
Collective memory support and cognitive-conflict group decision-making: an experimental investigation

Decision Support Systems

Developing critical thinking reasoning for PBL

ITHET'10 Proceedings of the 9th international conference on Information technology based higher education and training

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Abstract

This paper reports MALESAbrain an intelligent online tool for problem-based learning (PBL) in IT education. The learning model of MALESAbrain is built on the notions of threshold and knowledge-weight from the discipline of machine learning. MALESAbrain encourages learners to judge or critically evaluate the solutions posted by others before exploring further knowledge-content. The intelligent MALESAbrain then sums up the judgment scores as its knowledge-weight to pass the thresholds set up for ranking/arranging the learning issues. This constraint design for judgment, therefore, becomes a mechanism for critical thinking in a problem-based learning activity. The intelligent system transforms the forum and chat room into rich learning environments. MALESAbrain advances online discussion services more efficient and effective in PBL.