Applying Learning Log Explorer to Diagnoses of E-Learning

B.-S. Jong, T.-Y. Chan, and Y.-L. Wu (Taiwan)


Data Mining, E-Learning


This study proposed an improved feature space system to explore students’ learning status. With the linking layer proposed by this study, the system can hook on various e learning platforms without reprogramming the system program. Also, with two types of warning mechanisms, teachers and students can receive learning status or information provided by proposed system in both web and email. Lastly, this study made an experiment to verify the proposed diagnostic system. Evaluations of confidence between learning status and learning achievement yielded positive experimental results.

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