Title: Multi-agents platform for mobile learning using objective distance based personalisation method
Authors: Sataworn Chaichumpa; Punnarumol Temdee
Addresses: School of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand ' School of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand
Abstract: Promoting personalised learning in the mobile learning environment is challenging. This paper thus proposes a platform to promote effective personalised mobile learning. For this paper, the Objective Distance (OD) which is the distance between the expected and the current learning competency is mainly used for personalised support. More specifically, the different OD determines the different support for the different learner. In this paper, the developed platform is implemented with multi-agents architecture to promote the ease of development, adaptability, and extensibility. This proposed platform is tested with 50 students for English language learning. It is evaluated in terms of efficiency and satisfaction. For efficiency assessment, the results show that the proposed platform can enhance student's learning efficiency significantly. For satisfaction assessment, the participating students strongly agree that the developed platform is convenient to use. At the same time, students also strongly agree that it can provide the personalised support for them.
Keywords: m-learning; personalised learning; objective distance; multi-agent.
International Journal of Mobile Learning and Organisation, 2018 Vol.12 No.3, pp.293 - 310
Received: 29 Jul 2017
Accepted: 29 Jan 2018
Published online: 26 Mar 2018 *