DEVELOPMENT OF A MYERS-BRIGGS TYPE INDICATOR BASED PERSONALISED E-LEARNING SYSTEM

Abstract

Personalised e-learning system is one of the most interesting research areas in present day educational system. The major challenge of the traditional learning system is space-time restriction and it is teacher centred. Unlike the traditional learning system that is teacher centred, thus, a personalised e-learning system based on learners learning style preference using Myers-Briggs Type Indicator (MBTI) that is learner centred is developed. This research work develops a methodology that matches teaching strategies with learner’s personality using MBTI tools. Mathematical model is developed for profiling learners to determine their learning style based on the MBTI questionnaire and Dynamic Bayesian Network is applied to revise the teaching strategy. The system architecture consists of four modules: domain, learner, pedagogical and presentation models. Pseudocodes, Algorithm and flowchart is used to design the system which is implemented using PHP and Wamp server and the database is designed using Structured Query Language (SQL). The developed system is tested using Undergraduate students studying Information Technology at Federal University of Technology Minna in introduction to Android course. The percentage analysis of the students’ scores shows that 78% of students passed and the remaining 22% passed when the strategy was revised. The performance evaluation of the system is carried out using two approaches; Firstly, using T-test statistical tool to compare the developed system with a control system and Secondly, presenting Questionnaire survey to students, and from the analysis it can be concluded that the Myers-Briggs Type Indicator Based Personalised E-Learning System developed is appealing to students and the performance of students improved significantly