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MALESAbrain for Problem-Based Learning in IT Education

Chiang, Akcell and Sapiyan Baba, (2005) MALESAbrain for Problem-Based Learning in IT Education. In: Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05). Theme: Next generation e-learning systems: intelligent applications and smart design,, 25 March 2005, National Kaohsiung Normal University, Taiwan.

Full text not available from this repository.

Official URL: http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/proceedings/&toc=comp/proceedings/icalt/2005/2338/00/2338toc.xml&DOI=10.1109/ICALT.2005.194#additionalInfo

Affiliations

Tung Nan Institute of Technology
University of Malaya, Faculty of Computer Science & Information Technology

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.

Item Type:Conference or Workshop Item (Paper)
Keywords:Problem-based learning, Computer assisted instructions, Machine learning
Subjects:Q Science
L Education
ID Code:1129

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