By Shi-Kuo Chang (auth.), Joseph Fong, Chu Ting Cheung, Hong Va Leong, Qing Li (eds.)

ISBN-10: 3540440410

ISBN-13: 9783540440413

This ebook constitutes the refereed lawsuits of the 1st overseas convention on Web-Based studying, ICWL 2002, held in Hong Kong, China in August 2002.
The 34 revised complete papers provided including an invited keynote paper have been rigorously reviewed and chosen from seventy five submissions. The papers are geared up in topical sections on approach modeling and architectures, distance studying platforms engineering, collaborative structures, stories in distance studying, databases and information mining, and multimedia.

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Uk where the pair {LHS, Uk} occurs most frequently in the rows of the table among all Ui’s in the set {U1, U2, …Un}. Ties are broken arbitrarily. Ui rules. The first rule representation we consider is called the subset rules. These rules are the same as the traditional association rules which simply ignore the order and adjacency between accesses. Thus, when the association rule mining methods, such as the Aprioi method [4,5,6], are applied to the log table, we obtain the subset rules. As an example, table 1 shows the subset rules that can be extracted from a transaction.

Net 4 Dept. kr Abstract. Web-based Instruction (WBI) has been adopted in many educational systems. However, due to WBI’s lack of face-to-face communication existing in a traditional classroom, their effectiveness is minimal. One way to lessen this problem is for these systems to implement a model that provides motivation to students. In this paper, we present a model to support motivation based on constructivism, which is known to be very suitable for WBI. The model is developed according to the four types of interactions: students-teachers, students-students, students-contents, and students-experts.

When many students ask questions, over time this mapping can be learned by a relevance feedback algorithm. We adopt the relevance-feedback learning algorithm proposed by Zhang and Yang [12] for case-based reasoning system, where the weights are incrementally updated based on whether a particular case provides a right answer or not for an input question. In order to validate the system, we have to gather more data from the students. The data should not only reflect what questions the students asked, as in the search engine query logs, but also how they rank the returned results.

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Advances in Web-Based Learning: First International Conference, ICWL 2002 Hong Kong, China, August 17–19, 2002 Proceedings by Shi-Kuo Chang (auth.), Joseph Fong, Chu Ting Cheung, Hong Va Leong, Qing Li (eds.)


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