Mohd. Yasin, Noraniah and Md. Radzi, Nor Haizan and Yusof, Norazah and Mohamed, Roslina AI techniques in the implementation of Distance Learning: A Proposal. In: Simposium IT â€“ ITSimâ€™2K, , 11 April 2000, Universiti Kebangsaan Malaysia, Bangi..
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Education via distance learning through the application of computers has reasonably evolved with the advent and merging of new technologies. In the early systems of computer-aided instruction (CAI) and computer-based training (CBT) the instruction was not focussed on the individual learnerâ€™s needs where the learnerâ€™s ability was not considered. However, learners advance from one module to another based on script-like materials. Although somewhat effective, we find these systems still lack individualized attention, as compared to learning form a human instructor where learners needs will be provided for. We have developed a framework consisting of five major components: student model, domain expert model, interest generator, tutoring model and user interface, for distance learning. We are proposing the use of artificial intelligence (AI) techniques in three components: student, tutoring and domain expert. By doing so, we hope that the current state of the learner is hypothesized in a knowledge base and instruction is individualized for the learner based on the knowledge learned about the learner. This paper will provide a brief overview of distance learning, a short discussion of the models used, and a description of applicable AI techniques that supports the implementation of effective and efficient distance learning systems.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||Artificial intelligence, Distance Learning, Knowledge base, reasoning, learning styles.|
|Subjects:||Q Science > QA Mathematics > QA76 Computer software|
|Divisions:||Computer Science and Information System|
|Deposited By:||Dr. Norazah Yusof|
|Deposited On:||23 May 2007 08:35|
|Last Modified:||24 May 2007 07:21|
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