Students’ Perceptions of the Use of Artificial Intelligence in Educational Service
The increased significance of artificial intelligence (AI) and the possibilities to implement it in higher education can be identified in contemporary conditions. At the same time, one cannot neglect the importance of student perceptions regarding it, since they represent the final users of educa...
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| Format: | Article |
| Language: | English |
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Editura ASE
2024-02-01
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| Series: | Amfiteatru Economic |
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| Online Access: | https://www.amfiteatrueconomic.ro/temp/Article_3292.pdf |
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| _version_ | 1849698801446551552 |
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| author | Ines Djokic Nikola Milicevic Nenad Djokic Borka Malcic Branimir Kalas |
| author_facet | Ines Djokic Nikola Milicevic Nenad Djokic Borka Malcic Branimir Kalas |
| author_sort | Ines Djokic |
| collection | DOAJ |
| description | The increased significance of artificial intelligence (AI) and the possibilities to implement it
in higher education can be identified in contemporary conditions. At the same time, one
cannot neglect the importance of student perceptions regarding it, since they represent the
final users of educational services. Therefore, the focus of this study was on the
implementation of the already developed Student Conceptions of AI in Education Scale
(SCAIES) instrument on a sample of Serbian students. It is the first implementation of that
eight-factor instrument modelled as a reflective-formative hierarchical construct which can
be considered as its main contribution from the theoretical aspect. Thus, all eight factors
positively and significantly formed the use of AI in education (UAIEd) from students'
perspective, whereas the largest contribution could be attributed to factors arising from
weaknesses of traditional education, i.e. sentiment analysis in education, personalised
learning and student performance prediction. On the other hand, the lowest contribution
could be attributed to factors that could be related to privacy concerns about AI use and the
domain of control, concretely, classroom monitoring and visual analysis, and students' grade
and evaluation. Some general recommendations for higher education institutions were also
provided. |
| format | Article |
| id | doaj-art-a89e5857b1d54030aedb4f20b8110302 |
| institution | DOAJ |
| issn | 1582-9146 2247-9104 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Editura ASE |
| record_format | Article |
| series | Amfiteatru Economic |
| spelling | doaj-art-a89e5857b1d54030aedb4f20b81103022025-08-20T03:18:48ZengEditura ASEAmfiteatru Economic1582-91462247-91042024-02-01266529431010.24818/EA/2024/65/294 Students’ Perceptions of the Use of Artificial Intelligence in Educational ServiceInes Djokic0https://orcid.org/0000-0002-0920-0469Nikola Milicevic1https://orcid.org/0000-0003-4834-6994Nenad Djokic2https://orcid.org/0000-0001-8229-8354 Borka Malcic 3https://orcid.org/0000-0002-1862-962XBranimir Kalas4https://orcid.org/0000-0002-9141-7957University of Novi Sad, Novi Sad, Republic of SerbiaUniversity of Novi Sad, Novi Sad, Republic of SerbiaUniversity of Novi Sad, Novi Sad, Republic of SerbiaUniversity of Novi Sad, Novi Sad, Republic of SerbiaUniversity of Novi Sad, Novi Sad, Republic of SerbiaThe increased significance of artificial intelligence (AI) and the possibilities to implement it in higher education can be identified in contemporary conditions. At the same time, one cannot neglect the importance of student perceptions regarding it, since they represent the final users of educational services. Therefore, the focus of this study was on the implementation of the already developed Student Conceptions of AI in Education Scale (SCAIES) instrument on a sample of Serbian students. It is the first implementation of that eight-factor instrument modelled as a reflective-formative hierarchical construct which can be considered as its main contribution from the theoretical aspect. Thus, all eight factors positively and significantly formed the use of AI in education (UAIEd) from students' perspective, whereas the largest contribution could be attributed to factors arising from weaknesses of traditional education, i.e. sentiment analysis in education, personalised learning and student performance prediction. On the other hand, the lowest contribution could be attributed to factors that could be related to privacy concerns about AI use and the domain of control, concretely, classroom monitoring and visual analysis, and students' grade and evaluation. Some general recommendations for higher education institutions were also provided.https://www.amfiteatrueconomic.ro/temp/Article_3292.pdfartificial intelligenceeducationstudentsperceptionsservices |
| spellingShingle | Ines Djokic Nikola Milicevic Nenad Djokic Borka Malcic Branimir Kalas Students’ Perceptions of the Use of Artificial Intelligence in Educational Service Amfiteatru Economic artificial intelligence education students perceptions services |
| title | Students’ Perceptions of the Use of Artificial Intelligence in Educational Service |
| title_full | Students’ Perceptions of the Use of Artificial Intelligence in Educational Service |
| title_fullStr | Students’ Perceptions of the Use of Artificial Intelligence in Educational Service |
| title_full_unstemmed | Students’ Perceptions of the Use of Artificial Intelligence in Educational Service |
| title_short | Students’ Perceptions of the Use of Artificial Intelligence in Educational Service |
| title_sort | students perceptions of the use of artificial intelligence in educational service |
| topic | artificial intelligence education students perceptions services |
| url | https://www.amfiteatrueconomic.ro/temp/Article_3292.pdf |
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