MLaaS: a cloud-based system for delivering adaptive micro learning in mobile MOOC learning

Sun, Geng and Cui, Tingru and Yong, Jianming and Shen, Jun and Chen, Shiping (2018) MLaaS: a cloud-based system for delivering adaptive micro learning in mobile MOOC learning. IEEE Transactions on Services Computing, 11 (2). pp. 292-305. ISSN 1939-1374

Abstract

Mobile learning in massive open online course (MOOC) evidently differs from its traditional ways as it relies more on collaborations and becomes more fragmented. We present a cloud-based virtual learning environment (VLE) which can organize learners into a better teamwork context and customize micro learning resources in order to meet personal demands in real time. Particularly, a smart micro learning environment was built by a newly designed Software as a Service (SaaS), namely Micro Learning as a Service (MLaaS). It aims to provide adaptive micro learning contents as well as learning path identifications customized for each individual learner. To personalize the micro learning, a dynamic learner model is constructed with regards to the internal and external factors that can affect learning experience and outcomes. Educational data mining (EDM) techniques are employed as the main method to understand learners' behaviors and recognize learning resource features. A solution of learning path optimization is also proposed towards assembling a complete MOOC learning experience.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 20 Feb 2019 01:09
Last Modified: 22 Feb 2019 00:35
Uncontrolled Keywords: mobile learning; MOOC; collaborative learning; micro learning; service-oriented system; higher education; Web; optimization; generation; teamwork
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/TSC.2015.2473854
URI: http://eprints.usq.edu.au/id/eprint/35575

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