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Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05)
MALESAbrain for Problem-Based Learning in IT Education
Kaohsiung, Taiwan
July 05-July 08
ISBN: 0-7695-2338-2
Akcell Chiang, Tung Nan Institute of Technology
Mohd Sapiyan Baba, University of Malaya
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.
Citation:
Akcell Chiang, Mohd Sapiyan Baba, "MALESAbrain for Problem-Based Learning in IT Education," icalt, pp.570-574, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005
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