The acceptance of artificial intelligence in education among postgraduate students in Malaysia

The utilization of artificial intelligence (AI) among students is rapidly gaining prominence worldwide. However, Malaysia lags in terms of research and information in this area. This quantitative study aims to identify the factors that contribute to the adoption of AI among postgraduate students. Th...

Full description

Bibliographic Details
Published in:Education and Information Technologies
Main Author: Razak F.Z.A.; Abdullah M.A.; Ahmad B.E.; Bakar W.H.R.B.W.A.; Misaridin N.A.F.B.
Format: Article
Language:English
Published: Springer 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200837495&doi=10.1007%2fs10639-024-12916-4&partnerID=40&md5=4d03b264aa36fd1bca3bd4da9c35945f
id 2-s2.0-85200837495
spelling 2-s2.0-85200837495
Razak F.Z.A.; Abdullah M.A.; Ahmad B.E.; Bakar W.H.R.B.W.A.; Misaridin N.A.F.B.
The acceptance of artificial intelligence in education among postgraduate students in Malaysia
2024
Education and Information Technologies


10.1007/s10639-024-12916-4
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200837495&doi=10.1007%2fs10639-024-12916-4&partnerID=40&md5=4d03b264aa36fd1bca3bd4da9c35945f
The utilization of artificial intelligence (AI) among students is rapidly gaining prominence worldwide. However, Malaysia lags in terms of research and information in this area. This quantitative study aims to identify the factors that contribute to the adoption of AI among postgraduate students. The study focuses on the postgraduate student population in Malaysia, employing convenience sampling techniques. The research findings reveal that two variables, namely hedonistic and habit, significantly influence the adoption of AI among postgraduate students. These findings are expected to provide valuable insights to stakeholders for future implementation of AI among postgraduate students. By understanding the key factors influencing AI adoption, relevant parties can effectively strategize and enhance the utilization of AI technology in the postgraduate education landscape. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Springer
13602357
English
Article

author Razak F.Z.A.; Abdullah M.A.; Ahmad B.E.; Bakar W.H.R.B.W.A.; Misaridin N.A.F.B.
spellingShingle Razak F.Z.A.; Abdullah M.A.; Ahmad B.E.; Bakar W.H.R.B.W.A.; Misaridin N.A.F.B.
The acceptance of artificial intelligence in education among postgraduate students in Malaysia
author_facet Razak F.Z.A.; Abdullah M.A.; Ahmad B.E.; Bakar W.H.R.B.W.A.; Misaridin N.A.F.B.
author_sort Razak F.Z.A.; Abdullah M.A.; Ahmad B.E.; Bakar W.H.R.B.W.A.; Misaridin N.A.F.B.
title The acceptance of artificial intelligence in education among postgraduate students in Malaysia
title_short The acceptance of artificial intelligence in education among postgraduate students in Malaysia
title_full The acceptance of artificial intelligence in education among postgraduate students in Malaysia
title_fullStr The acceptance of artificial intelligence in education among postgraduate students in Malaysia
title_full_unstemmed The acceptance of artificial intelligence in education among postgraduate students in Malaysia
title_sort The acceptance of artificial intelligence in education among postgraduate students in Malaysia
publishDate 2024
container_title Education and Information Technologies
container_volume
container_issue
doi_str_mv 10.1007/s10639-024-12916-4
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200837495&doi=10.1007%2fs10639-024-12916-4&partnerID=40&md5=4d03b264aa36fd1bca3bd4da9c35945f
description The utilization of artificial intelligence (AI) among students is rapidly gaining prominence worldwide. However, Malaysia lags in terms of research and information in this area. This quantitative study aims to identify the factors that contribute to the adoption of AI among postgraduate students. The study focuses on the postgraduate student population in Malaysia, employing convenience sampling techniques. The research findings reveal that two variables, namely hedonistic and habit, significantly influence the adoption of AI among postgraduate students. These findings are expected to provide valuable insights to stakeholders for future implementation of AI among postgraduate students. By understanding the key factors influencing AI adoption, relevant parties can effectively strategize and enhance the utilization of AI technology in the postgraduate education landscape. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
publisher Springer
issn 13602357
language English
format Article
accesstype
record_format scopus
collection Scopus
_version_ 1809678473285861376