Learning analytics for children’s using augmented reality games / Fatin Nasuha Abdul Razak, Amirrudin Kamsin and Hameedur Rahman

Data science approaches, which are increasingly used in virtually every sector, can be applied to the quantity of information collected from children’s interactions with augmented reality (AR) games. Data science tools can significantly improve AR game evaluation and help teachers and institutions t...

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Main Authors: Abdul Razak, Fatin Nasuha, Kamsin, Amirrudin, Rahman, Hameedur
Format: Article
Language:English
Published: UiTM Press 2024
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Online Access:https://ir.uitm.edu.my/id/eprint/95102/2/95102.pdf
https://ir.uitm.edu.my/id/eprint/95102/
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spelling my.uitm.ir.951022024-05-24T03:04:31Z https://ir.uitm.edu.my/id/eprint/95102/ Learning analytics for children’s using augmented reality games / Fatin Nasuha Abdul Razak, Amirrudin Kamsin and Hameedur Rahman ijelhe Abdul Razak, Fatin Nasuha Kamsin, Amirrudin Rahman, Hameedur Electronic Computers. Computer Science Data science approaches, which are increasingly used in virtually every sector, can be applied to the quantity of information collected from children’s interactions with augmented reality (AR) games. Data science tools can significantly improve AR game evaluation and help teachers and institutions to make evidence-based decisions. The collection, analysis, and visualisation of player interactions with AR games is referred to as game learning analytics (GLA). The main purpose of this study is to evaluate the effectiveness of children’s performances in AR games by using learning analytics (LA). The data acquired from these analytics can be used to improve AR games, better comprehend player behaviours and strategies, and improve player assessment. To examine the benefits of these technologies, the methods that can be used to implement LA for children in AR games are presented in this paper. The findings suggest that LA provides significant benefits to children while also assisting educators in evaluating students based on their game involvement. UiTM Press 2024-03 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/95102/2/95102.pdf Learning analytics for children’s using augmented reality games / Fatin Nasuha Abdul Razak, Amirrudin Kamsin and Hameedur Rahman. (2024) International Journal of e-Learning and Higher Education (IJELHE) <https://ir.uitm.edu.my/view/publication/International_Journal_of_e-Learning_and_Higher_Education_=28IJELHE=29/>, 19 (2): 11. pp. 165-176. ISSN 2229-8223
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Electronic Computers. Computer Science
spellingShingle Electronic Computers. Computer Science
Abdul Razak, Fatin Nasuha
Kamsin, Amirrudin
Rahman, Hameedur
Learning analytics for children’s using augmented reality games / Fatin Nasuha Abdul Razak, Amirrudin Kamsin and Hameedur Rahman
description Data science approaches, which are increasingly used in virtually every sector, can be applied to the quantity of information collected from children’s interactions with augmented reality (AR) games. Data science tools can significantly improve AR game evaluation and help teachers and institutions to make evidence-based decisions. The collection, analysis, and visualisation of player interactions with AR games is referred to as game learning analytics (GLA). The main purpose of this study is to evaluate the effectiveness of children’s performances in AR games by using learning analytics (LA). The data acquired from these analytics can be used to improve AR games, better comprehend player behaviours and strategies, and improve player assessment. To examine the benefits of these technologies, the methods that can be used to implement LA for children in AR games are presented in this paper. The findings suggest that LA provides significant benefits to children while also assisting educators in evaluating students based on their game involvement.
format Article
author Abdul Razak, Fatin Nasuha
Kamsin, Amirrudin
Rahman, Hameedur
author_facet Abdul Razak, Fatin Nasuha
Kamsin, Amirrudin
Rahman, Hameedur
author_sort Abdul Razak, Fatin Nasuha
title Learning analytics for children’s using augmented reality games / Fatin Nasuha Abdul Razak, Amirrudin Kamsin and Hameedur Rahman
title_short Learning analytics for children’s using augmented reality games / Fatin Nasuha Abdul Razak, Amirrudin Kamsin and Hameedur Rahman
title_full Learning analytics for children’s using augmented reality games / Fatin Nasuha Abdul Razak, Amirrudin Kamsin and Hameedur Rahman
title_fullStr Learning analytics for children’s using augmented reality games / Fatin Nasuha Abdul Razak, Amirrudin Kamsin and Hameedur Rahman
title_full_unstemmed Learning analytics for children’s using augmented reality games / Fatin Nasuha Abdul Razak, Amirrudin Kamsin and Hameedur Rahman
title_sort learning analytics for children’s using augmented reality games / fatin nasuha abdul razak, amirrudin kamsin and hameedur rahman
publisher UiTM Press
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/95102/2/95102.pdf
https://ir.uitm.edu.my/id/eprint/95102/
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score 13.211869