TY - GEN
T1 - Ontology-based approach for dynamic e-learning personalization
AU - Ayu Laksitowening, Kusuma
AU - Arifin Hasibuan, Zainal
AU - Budi Santoso, Harry
N1 - Funding Information:
ACKNOWLEDGMENTS This research was supported by Hibah Publikasi Terindeks Internasional (PUTI) Prosiding 2020 at Universitas Indonesia (Number: NKB-846/UN2.RST/HKP.05.00/2020).
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2020/11/3
Y1 - 2020/11/3
N2 - E-Learning personalization can be a solution to accommodate the variation of students' type since e-Learning allows the learning process of each student not to interfere with each other. Many variables may affect students' condition and behavior throughout the semester. Hence, students' type may change over time and different from one subject to another subject. Accordingly, the personalization should also be dynamic towards the changes that occur. In this research, we analyzed the students' type by processing the access log available on Learning Management Systems (LMS) from time to time. The results of the student analysis then become the reference for learning personalization using ontology. By utilizing ontology, personalization was presented by linking the students' type with activities that match the topic. The proposed personalized learning was applied to the prototype LMS later for testing and evaluation. The evaluation results indicated that personalized learning affects significantly to increase learning activities.
AB - E-Learning personalization can be a solution to accommodate the variation of students' type since e-Learning allows the learning process of each student not to interfere with each other. Many variables may affect students' condition and behavior throughout the semester. Hence, students' type may change over time and different from one subject to another subject. Accordingly, the personalization should also be dynamic towards the changes that occur. In this research, we analyzed the students' type by processing the access log available on Learning Management Systems (LMS) from time to time. The results of the student analysis then become the reference for learning personalization using ontology. By utilizing ontology, personalization was presented by linking the students' type with activities that match the topic. The proposed personalized learning was applied to the prototype LMS later for testing and evaluation. The evaluation results indicated that personalized learning affects significantly to increase learning activities.
KW - Dynamic personalization
KW - E-Learning
KW - Ontology
KW - Personalized learning
UR - http://www.scopus.com/inward/record.url?scp=85099288981&partnerID=8YFLogxK
U2 - 10.1109/ICIC50835.2020.9288570
DO - 10.1109/ICIC50835.2020.9288570
M3 - Conference contribution
AN - SCOPUS:85099288981
T3 - 2020 5th International Conference on Informatics and Computing, ICIC 2020
BT - 2020 5th International Conference on Informatics and Computing, ICIC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Informatics and Computing, ICIC 2020
Y2 - 3 November 2020 through 4 November 2020
ER -