Authors: Lun-Ping Hung; James J. Park; Kuo-Chung Chu; Neil Y. Yen
Addresses: Department of Information Management, National Taipei University of Nursing and Health Sciences, No. 365, Ming-Te Rd., Peitou Dist., Taipei City 10845, Taiwan, ROC ' Department of Computer Science and Engineering, Seoul National University of Science and Technology, 172 Gongreung 2-dong, Nowon-gu, Seoul 139-743, Korea ' Department of Information Management, National Taipei University of Nursing and Health Sciences, No. 365, Ming-Te Rd., Peitou Dist., Taipei City 10845, Taiwan, ROC ' School of Computer Science and Engineering, The University of Aizu, Tsuruga, Ikki-machi, Aizu-Wakamatsu City, Fukushima 965-8580, Japan
Abstract: With the ever-growing needs for personal learning, a multidimensional mechanism that aims at providing tailored educational contents in an open environment in this study. This mechanism is implemented in an intelligent tutoring system (ITS), which primarily consists of three interactive modules for learning content delivery. The self-organising map (SOM) is applied to the analysis of the factors (e.g., individual needs, preferences, etc.) and as the main process towards the delivery of recommendations and achieve personalisation. Results demonstrate that the proposed mechanism gives a solution to the issue of information overload and enhances interest and efficiency for personal learning. Contributions include: 1) the cost of time on obtaining useful learning content in an open environment is reduced; 2) the chance towards socially-learning scenario with personalised learning support is achieved.
Keywords: information overload; adaptive learning; ITS; intelligent tutoring systems; SOM; self-organising maps; MANETs; mobile ad hoc networks; mobile networks; content-oriented learning recommendation; recommender systems; personal learning; educational content; learning content delivery; personalisation; learning support.
International Journal of Ad Hoc and Ubiquitous Computing, 2014 Vol.15 No.4, pp.252 - 262
Received: 25 Apr 2012
Accepted: 28 Dec 2012
Published online: 24 May 2014 *