Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Determinants of Humanities and Social Sciences Students’ Intentions to Use Artificial Intelligence Applications for Academic Purposes

Konstantinos Lavidas
ORCID logo ,
Iro Voulgari
,
Stamatios Papadakis
* ORCID logo ,
Stavros Athanassopoulos
,
Antigoni Anastasiou
,
Andromachi Filippidi
,
Vassilis Komis
ORCID logo ,
Nikos Karacapilidis
ORCID logo
Version 1 : Received: 9 April 2024 / Approved: 10 April 2024 / Online: 11 April 2024 (13:50:00 CEST)

How to cite: Lavidas, K.; Voulgari, I.; Papadakis, S.; Athanassopoulos, S.; Anastasiou, A.; Filippidi, A.; Komis, V.; Karacapilidis, N. Determinants of Humanities and Social Sciences Students’ Intentions to Use Artificial Intelligence Applications for Academic Purposes. Preprints 2024, 2024040750. https://doi.org/10.20944/preprints202404.0750.v1 Lavidas, K.; Voulgari, I.; Papadakis, S.; Athanassopoulos, S.; Anastasiou, A.; Filippidi, A.; Komis, V.; Karacapilidis, N. Determinants of Humanities and Social Sciences Students’ Intentions to Use Artificial Intelligence Applications for Academic Purposes. Preprints 2024, 2024040750. https://doi.org/10.20944/preprints202404.0750.v1

Abstract

Recent research emphasises the importance of Artificial Intelligence applications as supporting tools for students in higher education. Simultaneously, an intensive exchange of views has started in the public debate in the international educational community. However, for a more proper use of these applications, it is necessary to investigate the factors that explain their intention and actual use in the future. With the Unified Theory of Acceptance and Use of Technology (UTAUT2) model, this work analyses the factors influencing students' use and intention to use artificial intelligence technology. For this purpose, a sample of 199 Greek students at the School of Humanities and Social Sciences from the University of Patras participated in a survey. The findings highlight that expected performance, habit, and enjoyment of these Artificial Intelligence applications are key determinants influencing teachers' intentions to use them. Moreover, behavioural intention, habit, and facilitating conditions explain the usage of these Artificial Intelligence applications. The study did not reveal any moderating effects. The limitations, practical implications, and proposed directions for future research based on these results are discussed.

Keywords

artificial intelligence; behavioral intentions; actual use; higher education; UTAUT2 technology acceptance model

Subject

Social Sciences, Education

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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