Jang Hyeon Baek , Yung Sik Kim

The KIPS Transactions:PartA, Vol. 12, No. 5, pp. 461-470, Oct. 2005
10.3745/KIPSTA.2005.12.5.461,   PDF Download:

Abstract

In learner-controlled environment where learners can decide and restructure the contents, methods and order of learning by themselves, it is possible to apply individualized learning in consideration of each learner´s characteristics. The present study analyzed learners´ learning path pattern, which is one of learners´ characteristics important in Web-based teaching-learning process, using the Apriori algorithm and grouped learners according to their learning path pattern. Based on the result, we designed and implemented a multi-dimensional learning path pattern analysis system to provide individual learners with learning paths, learning contents, learning media, supplementary learning contents, the pattern of material presentation, etc. multi-dimensionally. According to the result of surveying satisfaction with the developed system, satisfaction with supplementary learning contents was highest (´Highly satisfied´24.5%, ´Satisfied´35.7%). By learners´ level, satisfaction was higher in low-level learners (´Highly satisfied´20.2%, ´Satisfied´31.2%) than in high-level learners (´Highly satisfied´18.4%, ´Satisfied´28.54%). The developed system is expected to provide learners with multi-dimensionally meaningful information from various angles using OLAP technologies such as drill-up and drill-down.

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