Context-aware recommender system for adaptive ubiquitous learning Online publication date: Tue, 26-Oct-2021
by Olutayo Boyinbode; Tunde Fatoke
International Journal of Mobile Learning and Organisation (IJMLO), Vol. 15, No. 4, 2021
Abstract: The use of context-aware recommender systems for adaptive ubiquitous learning has become a promising and interesting research direction in recent years, both as a result of the vast use of ubiquitous devices in our day-to-day lives and because of students' increasing desire to learn with ease anytime and anywhere without restriction. This paper implements an RFID-based context-aware technology and recommender system for adaptive ubiquitous learning that will help learners to achieve personalised learning goals and greater learning efficiency. Our context-aware recommender suggests courseware to students based on their location, surrounding noise level and time of day. Radio Frequency Identification (RFID) technology was used to acquire context awareness, and fuzzy logic was employed to develop courseware recommendations. The front end of the system was developed using Android Studio. Experimental results were obtained from selected students from different disciplines who evaluated the system.
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