Applying Self-Optimised Feedback to a Learning Management System for Facilitating Personalised Learning Activities on Massive Open Online Courses

Qi, X; Sun, G; Yue, L

Applying Self-Optimised Feedback to a Learning Management System for Facilitating Personalised Learning Activities on Massive Open Online Courses

Qi, X

Sun, G Yue, L

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Sustainability (Switzerland), 2023, 15, (16)
Issue Date:: 2023-08-01

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Field	Value	Language
dc.contributor.author	Qi, X https://orcid.org/0009-0003-0949-4449
dc.contributor.author	Sun, G
dc.contributor.author	Yue, L
dc.date.accessioned	2024-03-15T02:21:27Z
dc.date.available	2024-03-15T02:21:27Z
dc.date.issued	2023-08-01
dc.identifier.citation	Sustainability (Switzerland), 2023, 15, (16)
dc.identifier.issn	2071-1050
dc.identifier.issn	2071-1050
dc.identifier.uri	http://hdl.handle.net/10453/176756
dc.description.abstract	Web-based educational systems collect tremendous amounts of electronic data, ranging from simple histories of students’ interactions with the system to detailed traces of their reasoning. However, less attention has been given to the pedagogical interaction data of customised learning in a gamification environment. This study aims to research user experience, communication methods, and feedback and survey functionalities among the existing learning management system; understand the data flow of the online study feedback loop; propose the design of a personalised feedback system; and conclude with a discussion of the findings from the collected experiment data. We will test the importance of gamification learning and analytics learning, as well as conduct a literature review and laboratory experiment to examine how they can influence the effectiveness of monetary incentive schemes. This research will explain the significance of gamification learning and personalised feedback on motivation and performance during the learning journey.
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Sustainability (Switzerland)
dc.relation.isbasedon	10.3390/su151612562
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	12 Built Environment and Design
dc.title	Applying Self-Optimised Feedback to a Learning Management System for Facilitating Personalised Learning Activities on Massive Open Online Courses
dc.type	Journal Article
utslib.citation.volume	15
utslib.for	12 Built Environment and Design
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-15T02:21:25Z
pubs.issue	16
pubs.publication-status	Published
pubs.volume	15
utslib.citation.issue	16

Abstract:

Web-based educational systems collect tremendous amounts of electronic data, ranging from simple histories of students’ interactions with the system to detailed traces of their reasoning. However, less attention has been given to the pedagogical interaction data of customised learning in a gamification environment. This study aims to research user experience, communication methods, and feedback and survey functionalities among the existing learning management system; understand the data flow of the online study feedback loop; propose the design of a personalised feedback system; and conclude with a discussion of the findings from the collected experiment data. We will test the importance of gamification learning and analytics learning, as well as conduct a literature review and laboratory experiment to examine how they can influence the effectiveness of monetary incentive schemes. This research will explain the significance of gamification learning and personalised feedback on motivation and performance during the learning journey.

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http://hdl.handle.net/10453/176756