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Student Behavior Modeling for an E-Learning System Offering Personalized Learning Experiences

K. Abhirami1,*, M. K. Kavitha Devi2

1 Department of Computer Science and Engineering, Kings College of Engineering, Pudukkottai, 613303, India
2 Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, 625015, India

* Corresponding Author: K. Abhirami. Email: email

Computer Systems Science and Engineering 2022, 40(3), 1127-1144.


With the advent of computing and communication technologies, it has become possible for a learner to expand his or her knowledge irrespective of the place and time. Web-based learning promotes active and independent learning. Large scale e-learning platforms revolutionized the concept of studying and it also paved the way for innovative and effective teaching-learning process. This digital learning improves the quality of teaching and also promotes educational equity. However, the challenges in e-learning platforms include dissimilarities in learner’s ability and needs, lack of student motivation towards learning activities and provision for adaptive learning environment. The quality of learning can be enhanced by analyzing the online learner’s behavioral characteristics and their application of intelligent instructional strategy. It is not possible to identify the difficulties faced during the process through evaluation after the completion of e-learning course. It is thus essential for an e-learning system to include component offering adaptive control of learning and maintain user’s interest level. In this research work, a framework is proposed to analyze the behavior of online learners and motivate the students towards the learning process accordingly so as to increase the rate of learner’s objective attainment. Catering to the demands of e-learner, an intelligent model is presented in this study for e-learning system that apply supervised machine learning algorithm. An adaptive e-learning system suits every category of learner, improves the learner’s performance and paves way for offering personalized learning experiences.


Cite This Article

K. Abhirami and M. K. Kavitha Devi, "Student behavior modeling for an e-learning system offering personalized learning experiences," Computer Systems Science and Engineering, vol. 40, no.3, pp. 1127–1144, 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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