Artikel

Students' perceptions of the use of artificial intelligence in educational services

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.

Sprache
Englisch

Erschienen in
Journal: Amfiteatru Economic Journal ; ISSN: 2247-9104 ; Volume: 26 ; Year: 2024 ; Issue: 65 ; Pages: 294-310

Klassifikation
Wirtschaft
Marketing
Education and Research Institutions: General
Thema
Artificial intelligence
education
students
perceptions
services

Ereignis
Geistige Schöpfung
(wer)
Djokic, Ines
Milićević, Nikola
Djokic, Nenad
Malcic, Borka
Kalas, Branimir
Ereignis
Veröffentlichung
(wer)
The Bucharest University of Economic Studies
(wo)
Bucharest
(wann)
2024

DOI
doi:10.24818/EA/2024/65/294
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Djokic, Ines
  • Milićević, Nikola
  • Djokic, Nenad
  • Malcic, Borka
  • Kalas, Branimir
  • The Bucharest University of Economic Studies

Entstanden

  • 2024

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