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http://krishi.icar.gov.in/jspui/handle/123456789/81205
Title: | Collaborative optimization algorithm for learning path construction in E-learning |
Other Titles: | Not Available |
Authors: | V. Vanitha P. Krishnan R. Elakkiya |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai - 600062, India ICAR - National Academy of Agricultural Research Management, Hyderabad, 500 030, India School of Computing, SASTRA Deemed University, Thanjavur, 613 401, India |
Published/ Complete Date: | 2019-07-26 |
Project Code: | Not Available |
Keywords: | Not Available |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | In e-learning, learning object sequencing is a challenging task. It is difficult to sequence learning objects manually due to their abundant availability and the numerous combinations possible. An adaptive e-learning system that offers a personalized learning path would enhance the academic performance of learners. The main challenge in providing a personalized learning path is finding the right match between individual characteristics and learning content sequences. This paper presents a collaborative optimization algorithm, combining ant colony optimization and a genetic algorithm to provide learners with a personalized learning path. The proposed algorithm utilizes the stochastic nature of ant colony optimization and exploration characteristics of the genetic algorithm to build an optimal solution. Performance of the proposed algorithm has been assessed by conducting qualitative and quantitative experiments. This study establishes that the hybrid approach provides a better solution than the traditional approach. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Computers & Electrical Engineering |
Journal Type: | Not Available |
NAAS Rating: | Not Available |
Impact Factor: | Not Available |
Volume No.: | 77 |
Page Number: | 325-338 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://doi.org/10.1016/j.compeleceng.2019.06.016 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/81205 |
Appears in Collections: | AEdu-NAARM-Publication |
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