DEVELOPMENT OF AN ADAPTIVE PERSONALISED LEARNING MANAGEMENT SYSTEM

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dc.contributor.author FAKOYA, JOHNSON TUNDE
dc.date.accessioned 2020-11-02T10:25:29Z
dc.date.available 2020-11-02T10:25:29Z
dc.date.issued 2019-12
dc.identifier.uri http://196.220.128.81:8080/xmlui/handle/123456789/880
dc.description PH.D THESIS en_US
dc.description.abstract Leaning management system focus on supporting teachers in creating and holding online courses but did not consider individual differences in learners such as leaning styles. The impact of learning styles on learning has recently been the focus of scholars and how it can be supported by learning systems. Adaptive educational systems provide learners with courses that fit their individual needs and characteristics such as their learning styles. The thesis provides adaptivity into learning management system. Instead of using Index of leaning Style (ILS), an automated approach for identifying learning style from actions and behavious of learners was designed, implemented and evaluated to show that the proposed approach is suitable for learning styles detection. Also, Felder Silverman model was extended and additional 24 learning styles was established. Moreover, a concept for enabling learning management system to provide adaptive course by automatically generating and providing learning materials that fit the learners’ learning styles was also developed, implemented and evaluated. Learners subjected to the system were tested using Felder Silverman learning style model and the proposed model. Scores were recorded and comparison were made. A random sample of thirty one (31) students were selected from students of Computer Science department Federal Polytechnic, Ile-Oluji to implement the system using four selected courses. The performance evaluation of the existing model with the proposed model was calculated using T-test independent sampling, the existing system has performed better for one (4%) students out of thirty one students subjected to the system for testing and the proposed system performed better for 30 (96%) students. The learning environment is built to support the teachers and the learners in a way that the teachers can continue using the advantage of the system and learners can benefit from the adaptive courses. The research opens way for advanced learning management system that frequently improves and updates learners’ needs. en_US
dc.description.sponsorship FEDERAL UNIVERSITY OF TECHNOLOGY AKURE en_US
dc.language.iso en en_US
dc.publisher FEDERAL UNIVERSITY OF TECHNOLOGY AKURE en_US
dc.subject Leaning management system en_US
dc.subject Index of leaning Style (ILS), en_US
dc.title DEVELOPMENT OF AN ADAPTIVE PERSONALISED LEARNING MANAGEMENT SYSTEM en_US
dc.type Thesis en_US


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