Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)

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Assess Learning Parameter of Learner and Classification of Course Content in E-learning System

Authors
Santosh Kumar1, *, Baldev Singh1, Madan Mohan Agarwal2
1Department of Computer Science and Engineering, Vivekananda Global University, Jaipur, India
2Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, Off Campus, Jaipur, India
*Corresponding author. Email: ska.bitjpr@gmail.com
Corresponding Author
Santosh Kumar
Available Online 19 April 2025.
DOI
10.2991/978-94-6463-700-7_32How to use a DOI?
Keywords
Adaptive E-learning; Intelligent Learning; Learning Parameters; Assess; Course Content
Abstract

The enhancement of advanced web-based technologies in the real world has positively flexible and efficiently used e-learning systems. These technologies reduce time and space limitations and provide a convenient learning system for learners/students with different backgrounds, knowledge levels, and goals. However, most adaptive e-learning systems have been developed to solve flexibility problems by providing the same learning materials to all learners. They did not categorize the learners according to their knowledge level. So, it requires a more adaptive, more efficient, and more flexible system that is able to provide the learning course materials, exercises, and remedial according to the problem of individual learners and also conduct the exam that tests the performance of the learners/students after learning the course material. The present paper assesses the learning parameters of learners in adaptive e-learning to create a more adaptive, more efficient, and flexible system capable of providing different levels of learning material according to the learner/student level of knowledge and improving the performance and knowledge of the learner/student.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
Series
Advances in Intelligent Systems Research
Publication Date
19 April 2025
ISBN
978-94-6463-700-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-700-7_32How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Santosh Kumar
AU  - Baldev Singh
AU  - Madan Mohan Agarwal
PY  - 2025
DA  - 2025/04/19
TI  - Assess Learning Parameter of Learner and Classification of Course Content in E-learning System
BT  - Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
PB  - Atlantis Press
SP  - 403
EP  - 415
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-700-7_32
DO  - 10.2991/978-94-6463-700-7_32
ID  - Kumar2025
ER  -