International Journal of Scientific Engineering and Technology

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Moodle Data Retrieval for Educational Data Mining


Affiliations
1 School of Information Technology, SEGi University, No.9, Jalan Teknologi, Taman Sains Selangor Kota Damansara, PJU 5, 47810, Petaling Jaya, Selangor, Malaysia
 

This study aims to incorporate a new service into existing Moodle Core Services for student's usage data retrieval. This service can ease the pre-processing in EDM and provide a generic mechanism for data portability. The proposed method expects to reduce the data pre-processing time and enhance the interoperability in Moodle.

Keywords

Moodle, Web Services, E-Learning, Educational Data Mining, Data Retrieving.
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  • Moodle Data Retrieval for Educational Data Mining

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Authors

Felermino M. D. A. Ali
School of Information Technology, SEGi University, No.9, Jalan Teknologi, Taman Sains Selangor Kota Damansara, PJU 5, 47810, Petaling Jaya, Selangor, Malaysia
S. C. Ng
School of Information Technology, SEGi University, No.9, Jalan Teknologi, Taman Sains Selangor Kota Damansara, PJU 5, 47810, Petaling Jaya, Selangor, Malaysia

Abstract


This study aims to incorporate a new service into existing Moodle Core Services for student's usage data retrieval. This service can ease the pre-processing in EDM and provide a generic mechanism for data portability. The proposed method expects to reduce the data pre-processing time and enhance the interoperability in Moodle.

Keywords


Moodle, Web Services, E-Learning, Educational Data Mining, Data Retrieving.