Title: Institution recommendation using relationship optimisation between program and student context
Authors: Pratya Nuankaew; Wongpanya Nuankaew; Punnarumol Temdee
Addresses: School of Information and Communication Technology, University of Phayao, Phayao, Thailand ' Faculty of Information Technology, Rajabhat Maha Sarakham University, Maha Sarakham, Thailand ' School of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand
Abstract: Education is a way of contributing the learning experience and achievement. Introducing the appropriate educational program offered by universities is essential. Therefore, this paper proposes a program recommendation for a student by optimising the relationship between the program and student context. There are two significant issues; finding the relationship and illustrating the satisfied model. Optimising the relationship procedure consists of the information collection, data analysis, prototype creation, prototype implementation, and model validation. The data are collected from 885 students from Rajabhat Mahasarakham University, Mahasarakham University, and the University of Phayao. The decision tree and association rule are used to discover the models. As a result, 19 significant factors including 15 factors in student context and four factors of program context. Moreover, the model has 76.50% accuracy which indicated that the constructed model reveals the reasonable relationship between program and student context for the proposed program recommendation.
Keywords: recommendation system; student context; optimisation; learning analytics; data mining in education; education model.
International Journal of Higher Education and Sustainability, 2019 Vol.2 No.4, pp.279 - 302
Received: 23 Apr 2018
Accepted: 04 Sep 2018
Published online: 30 Oct 2019 *