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A FLIPPED CLASSROOM MODEL FOR ADAPTIVE SYSTEMS IN E-LEARNING

FATINIKUN, DEBORAH O (2017) A FLIPPED CLASSROOM MODEL FOR ADAPTIVE SYSTEMS IN E-LEARNING. Masters thesis, Covenant University, Ota, Nigeria..

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Abstract

Student and computer interaction becomes more salient where visual-auditory hardware and materials are required in classroom environment which are used for formal education. For instance, as a substitute of having classes during sessions, students learn mostly outside the class, by reading, watching videos and listening to podcasts or other audio format. Adaptive flipped classroom model is a learning and teaching approach that inverts the traditional classroom, in other words activities that would have traditionally taken place inside the class now takes place outside the classroom and vice versa. And it helps in changing user’s behavior vigorously and presents the learning concepts according to learner’s model. The aim of an adaptive flipped classroom model technologies is to achieve creative and innovative learning environment for those who have difficulty accessing education such as the poor, illiterate, less privileged, and those with location and financial constraints. The objective of this study is to provide flipped classroom model and incorporate the context of intelligent self-service learning with the use of an adaptive expert system to improve learning outside the classroom. The study employs a combination of technologies such as system design and modeling using Unified Modeling Language (UML), server side scripting, web-based system development, data management and rule-based reasoning in order to develop a prototype an adaptive flipped classroom model for an e-learning system. The developed system was evaluated to determine the level of usability. The result of the usability evaluation showed that the developed application has an ‘average usability’ rating of 4.053 out of 5 scales. This shows that the adaptive flipped classroom system will not only complement the existing e-learning system, it is also expected to be of immense benefit to all students with different levels of learning and assimilation.

Item Type: Thesis (Masters)
Subjects: Q Science > Q Science (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 28 Nov 2017 12:01
Last Modified: 28 Nov 2017 12:03
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/9752

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