Citation

Chua, Fang Fang and Chong, Shin Yan and Lim, Tek Yong (2024) MVR-RCM: An Approach to Recommend Microlearning Videos in Informal Online Learning Environment. In: ICETC 2023: The 15th International Conference on Education Technology and Computers, 26 - 28 September 2023, Barcelona, Spain.

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Abstract

With the rapid development of Web technologies, online learning has become mainstream. People acquire for new skills or knowledge through the Internet in formal or informal ways. As compared to the well-developed curriculum-based Learning Management Systems (LMSs), more people prefer the informal style-learning that can be customized to meet different learning habits or interests. They prefer engage with resources that are short or casual, but could give immediate solutions. In informal online learning, people acquire learning resources from open-source platforms. As the open-source learning resources grow, the searches become complex and nearly impossible to identify desired content if just have a glance at the learning resource title. This paper described the full architecture of “MVR-RCM” to help learners acquire microlearning video resources efficiently in an informal online learning environment. Instead of manually browsing through the Internet for learning resources, an automated approach named “MVR-RCM” has been proposed to deliver microlearning videos using a content-based recommender system. In “MVR-RCM”, key influence factors like learning interest and video’s category are adopted to suggest relevant microlearning video resources to learners

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	online learning
Subjects:	L Education > LB Theory and practice of education > LB1025-1050.75 Teaching (Principles and practice)
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	21 Feb 2024 04:41
Last Modified:	21 Feb 2024 04:41
URII:	http://shdl.mmu.edu.my/id/eprint/12088

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