An investigation of learning analytics in an online video-based learning platform
Using an online platform as a teaching and learning tool has been more common since the last decade. An advantage of this approach is the ability to capture implicit information, and hence learning analytics may be implemented to assist improvement in learning experience and efficiency. Thus, this...
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2020
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オンライン・アクセス: | http://eprints.sunway.edu.my/1686/1/Lau%20Sian%20Lun%20An%20investigation%20of%20learning.pdf http://eprints.sunway.edu.my/1686/ https://ieeexplore.ieee.org/document/9293629 |
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my.sunway.eprints.16862021-03-26T09:26:26Z http://eprints.sunway.edu.my/1686/ An investigation of learning analytics in an online video-based learning platform Sim, Ethan H. C. Lau, Sian Lun * QA75 Electronic computers. Computer science Using an online platform as a teaching and learning tool has been more common since the last decade. An advantage of this approach is the ability to capture implicit information, and hence learning analytics may be implemented to assist improvement in learning experience and efficiency. Thus, this paper aims to investigate and identify what features are needed by stakeholders to be included in an online video-based learning platform in order to implement learning analytics. A prototype learning platform has been developed. It has been evaluated through a survey by a group of testers to obtain feedback and review regarding their learning and usage experience. The majority of the participants of the survey have shown interest in the features implemented by the system and would like to see these features implemented in a working video learning platform. 2020 Conference or Workshop Item PeerReviewed text en cc_by_nc_nd_4 http://eprints.sunway.edu.my/1686/1/Lau%20Sian%20Lun%20An%20investigation%20of%20learning.pdf Sim, Ethan H. C. and Lau, Sian Lun * (2020) An investigation of learning analytics in an online video-based learning platform. In: 2020 IEEE Conference on Open Systems (ICOS), 17-19 November 2020, Kota Kinabalu, Malaysia. https://ieeexplore.ieee.org/document/9293629 |
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QA75 Electronic computers. Computer science Sim, Ethan H. C. Lau, Sian Lun * An investigation of learning analytics in an online video-based learning platform |
description |
Using an online platform as a teaching and learning
tool has been more common since the last decade. An
advantage of this approach is the ability to capture implicit information, and hence learning analytics may be implemented to assist improvement in learning experience and efficiency. Thus, this paper aims to investigate and identify what features are needed by stakeholders to be included in an online video-based learning platform in order to implement learning analytics. A prototype learning platform has been developed. It has been evaluated through a survey by a group of testers to obtain feedback and review regarding their learning and usage experience. The majority of the participants of the survey have
shown interest in the features implemented by the system and would like to see these features implemented in a working video learning platform. |
format |
Conference or Workshop Item |
author |
Sim, Ethan H. C. Lau, Sian Lun * |
author_facet |
Sim, Ethan H. C. Lau, Sian Lun * |
author_sort |
Sim, Ethan H. C. |
title |
An investigation of learning analytics in an online video-based learning platform |
title_short |
An investigation of learning analytics in an online video-based learning platform |
title_full |
An investigation of learning analytics in an online video-based learning platform |
title_fullStr |
An investigation of learning analytics in an online video-based learning platform |
title_full_unstemmed |
An investigation of learning analytics in an online video-based learning platform |
title_sort |
investigation of learning analytics in an online video-based learning platform |
publishDate |
2020 |
url |
http://eprints.sunway.edu.my/1686/1/Lau%20Sian%20Lun%20An%20investigation%20of%20learning.pdf http://eprints.sunway.edu.my/1686/ https://ieeexplore.ieee.org/document/9293629 |
_version_ |
1695534222236712960 |
score |
13.252575 |