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...
| 發表在: | Education and Information Technologies |
|---|---|
| 主要作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
Springer
2025
|
| 在線閱讀: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200837495&doi=10.1007%2fs10639-024-12916-4&partnerID=40&md5=4d03b264aa36fd1bca3bd4da9c35945f |
| id |
Razak F.Z.A.; Abdullah M.A.; Ahmad B.E.; Bakar W.H.R.B.W.A.; Misaridin N.A.F.B. |
|---|---|
| spelling |
Razak F.Z.A.; Abdullah M.A.; Ahmad B.E.; Bakar W.H.R.B.W.A.; Misaridin N.A.F.B. 2-s2.0-85200837495 The acceptance of artificial intelligence in education among postgraduate students in Malaysia 2025 Education and Information Technologies 30 3 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 |
2-s2.0-85200837495 |
| spellingShingle |
2-s2.0-85200837495 The acceptance of artificial intelligence in education among postgraduate students in Malaysia |
| author_facet |
2-s2.0-85200837495 |
| author_sort |
2-s2.0-85200837495 |
| 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 |
2025 |
| container_title |
Education and Information Technologies |
| container_volume |
30 |
| container_issue |
3 |
| 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_ |
1828987857785585664 |