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A Framework of MLaaS for Facilitating Adaptive Micro Learning through Open Education Resources in Mobile Environment

A Framework of MLaaS for Facilitating Adaptive Micro Learning through Open Education Resources in Mobile Environment

Geng Sun, Tingru Cui, William Guo, Shiping Chen, Jun Shen
Copyright: © 2017 |Volume: 14 |Issue: 4 |Pages: 25
ISSN: 1545-7362|EISSN: 1546-5004|EISBN13: 9781522511144|DOI: 10.4018/IJWSR.2017100103
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MLA

Sun, Geng, et al. "A Framework of MLaaS for Facilitating Adaptive Micro Learning through Open Education Resources in Mobile Environment." IJWSR vol.14, no.4 2017: pp.50-74. http://doi.org/10.4018/IJWSR.2017100103

APA

Sun, G., Cui, T., Guo, W., Chen, S., & Shen, J. (2017). A Framework of MLaaS for Facilitating Adaptive Micro Learning through Open Education Resources in Mobile Environment. International Journal of Web Services Research (IJWSR), 14(4), 50-74. http://doi.org/10.4018/IJWSR.2017100103

Chicago

Sun, Geng, et al. "A Framework of MLaaS for Facilitating Adaptive Micro Learning through Open Education Resources in Mobile Environment," International Journal of Web Services Research (IJWSR) 14, no.4: 50-74. http://doi.org/10.4018/IJWSR.2017100103

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Abstract

Micro learning becomes popular in online open learning and it is effective and helpful for learning in mobile environment. However, the delivery of open education resources (OERs) is scarcely supported by the current online systems. In this research, the authors introduce an approach to bridge the gap by providing adaptive micro open education resources for individual learners to carry out learning activities in a short time span. They propose a framework for micro learning resource customization and a personalized learner model, which are supported by education data mining (EDM) and learning analysis (LA). A service-oriented architecture for Micro Learning as a Service (MLaaS) is designed to integrate all necessary procedures together as a complete Service for delivering micro OERs, providing a platform for resource sharing and exchanging in peer-to-peer learning environment. Working principle of a key step, namely the computational decision-making of micro OER adaptation, is also introduced.

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