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.
Version of Record: 10 February 2023.




Learning Management System (LMS) is a traditional tool for E-learning. In combination 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 focus on algorithm design rather than programming. This paper adopts a machinelearning model and proposes a new algorithm, "RSUML- PL" which enables a personalized and selftutoring system. This research concluded that students make good progress on their final examinations.


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



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