Personalized Tutoring System for Elearning

Educational data mining is an advanced interdisciplinary research which is concerned for developing methods to analyze the performance of the students in order to improve the quality of learning. In this study, the academic, non-behavioral and behavioral features are used for analyzing the performan...

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Bibliographic Details
Published in2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC) pp. 1 - 4
Main Authors Jenila Livingston, L.M., Merlin Livingston, L.M., Agnel Livingston, L.G.X, Annie Portia, A
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2019
Subjects
Cluster Formation
Data mining
Education
Learning
Performance analysis
Tutoring System
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Summary:Educational data mining is an advanced interdisciplinary research which is concerned for developing methods to analyze the performance of the students in order to improve the quality of learning. In this study, the academic, non-behavioral and behavioral features are used for analyzing the performance of the students. The students were formed as clusters based on their similar characteristics for providing remedial measures to improve their academic achievement. Finally from the output obtained, Personalized Tutoring System is used for customizing instruction based on the needs of individual learner cluster. The Knowledge based tutor will suggest appropriate e-learning resources from the resource pool.
DOI:10.1109/ICRAECC43874.2019.8995161