Micro learning adaptation in MOOC: a software as a service and a personalized learner model

Authors

Geng Sun, University of WollongongFollow
Tingru Cui, University of WollongongFollow
William Guo, Central Queensland University
Ghassan Beydoun, University of WollongongFollow
Dongming Xu, University of QueenslandFollow
Jun Shen, University of WollongongFollow

RIS ID

99654

Publication Details

Sun, G., Cui, T., Guo, W., Beydoun, G., Xu, D. & Shen, J, "Micro learning adaptation in MOOC: a software as a service and a personalized learner model," Lecture Notes in Computer Science, vol. 9412, pp. 174-184, 2015.

Abstract

Micro learning is gradually becoming a common learning mode in massive open online course learning (MOOC). We illustrate a research strategy to formalize and customize micro learning resources in order to meet personal demands at the real time. This smart micro learning environment can be organized by a Software as a Service (SaaS) we newly designed, in which educational data mining technique is mainly employed to understand learners learning behaviors and recognize learning resource features in order to identify potential micro learning solutions. A learner model with regards to internal and external factors is also proposed for personalization in micro MOOC learning context.