• Journal of The Korean Association of Information Education
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• v.11 no.2
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• pp.221-230
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• 2007

It is information age now. Computer technology increases productivity, efficiency, and convenience of the public. Even if the computer-aided mathematics education is very important, so far there is the meager level of applying computers to mathematics education. This paper proposes a learning system with authoring tool for mathematics education. Teachers make study-contents easily with the system, and use them on a class. The content database that stores study-contents extends the usability of the system.

• The Journal of Korean Association of Computer Education
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• v.6 no.2
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• pp.147-156
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• 2003

Collaborative Filtering is a popular technology in electronic commerce, which adapt the opinions of entire communities to provide interesting products or personalized resources and items. It has been applied to many kinds of electronic commerce domain since Collaborative Filtering has proven an accurate and reliable tool. But educational application remain limited yet. We design collaborative filtering recommendation system using user's ratings in educational contents recommendation. Also We propose a method of similarity compensation using user's information for improvement of recommendation accuracy. The proposed method is more efficient than the traditional collaborative filtering method by experimental comparisons of mean absolute error(MAE) and reciever operating characteristics(ROC) values.