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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/43208
Title: | A modified ant colony algorithm for personalized learning path construction |
Other Titles: | Not Available |
Authors: | V. Vanitha P. Krishnan |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Academy of Agricultural Research and Management |
Published/ Complete Date: | 2019-01-01 |
Project Code: | Not Available |
Keywords: | Learning path learning content sequence personalised E-learning ant colony optimisation curriculum sequencing SYSTEM |
Publisher: | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS; IOS PRESS; NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS; AMSTERDAM |
Citation: | Not Available |
Series/Report no.: | Not Available |
Abstract/Description: | An e-learning system offering a personalised learning path will be vastly appealing to the learners. Adaptive techniques when employed in e-learning can sustain the interest and motivation of the learners and help them to complete the enrolled courses successfully. In addition, it would improve their performance and thus, enhance the overall learning experience. Personalisation takes into consideration the characteristics of the individual learner and the diversity in his/her needs. The main challenge is finding a match between these individual characteristics and the sequence of the learning content. It is a complex task to implement as it involves selection of the appropriate material from a vast amount of the available learning materials. It is a challenge to perform this process manually as it requires both technical savvy and pedagogical skills. In this paper, a stigmergy model is proposed, which was applied to build a customised learning path. The aim was to provide personalisation that satisfied the needs of an individual in a widely heterogeneous e-learning environment. Compared with the traditional teaching method, this tailored learning path, generated using the proposed approach, shows promise and was found to enhance the performance of the learners. |
Description: | Not Available |
ISBN: | Not Available |
ISSN: | 1064-1246 |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
NAAS Rating: | Not Available |
Volume No.: | 37 (5) |
Page Number: | 6785-6800 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | http://dx.doi.org/10.3233/JIFS-190349 PubMed id: Not Available Web of Science ID: WOS:000498834900086 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/43208 |
Appears in Collections: | AEdu-NAARM-Publication |
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