Vol.11, No.4, November 2022.                                                                                                                                                                              ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Personalized Learning Management System using a Machine Learning Technique


Kulkatechol Kanokngamwitroj, Chetneti Srisa-An


© 2022 Kulkatechol Kanokngamwitroj, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 11, Issue 4, Pages 1626 -1633, ISSN 2217-8309, DOI: 10.18421/TEM114-25, November 2022.


Received: 31 July 2022.

Revised:   26 September 2022.
Accepted:  03 October 2022.
Published: 25 November 2022.




Learning Management System (LMS) is a traditional tool for E-learning. Combined with Machine Learning (ML), such technology has unprecedentedly allowed teachers to observe and understand students' behaviors and performance. This research aims to enhance individual learning results by classifying a risk group and offering a self-tutoring program. This paper adopts a machine-learning model and proposes a new algorithm named "RSU-ML-PL," which enables a personalized and self-tutoring system. Overall, the experiment revealed good progress in student marks on their final examinations. The final examination results show that 606 (79%) students in the risk group passed their exams.


Keywords – – machine learning (ML); e-learning; personalized education; learning management system.



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