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

Journal Article


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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.

Publication Date


  • 2015

Citation


  • Sun, G., Cui, T., Guo, W., Beydoun, G., Xu, D. & Shen, J. (2015). Micro learning adaptation in MOOC: a software as a service and a personalized learner model. Lecture Notes in Computer Science, 9412 174-184. Guangzhou, China 14th International Conference on Advances in Web-Based Learning (ICWL 2015)

Scopus Eid


  • 2-s2.0-84952646879

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=6225&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5198

Has Global Citation Frequency


Number Of Pages


  • 10

Start Page


  • 174

End Page


  • 184

Volume


  • 9412

Place Of Publication


  • Germany

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.

Publication Date


  • 2015

Citation


  • Sun, G., Cui, T., Guo, W., Beydoun, G., Xu, D. & Shen, J. (2015). Micro learning adaptation in MOOC: a software as a service and a personalized learner model. Lecture Notes in Computer Science, 9412 174-184. Guangzhou, China 14th International Conference on Advances in Web-Based Learning (ICWL 2015)

Scopus Eid


  • 2-s2.0-84952646879

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=6225&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5198

Has Global Citation Frequency


Number Of Pages


  • 10

Start Page


  • 174

End Page


  • 184

Volume


  • 9412

Place Of Publication


  • Germany