Examining University Students' Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling

Yusuf Kalınkara

doi:10.33418/education.1855067

EN TR

Examining University Students' Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling

Abstract

Artificial Intelligence (AI) has been merged with everyday life activities and educational settings. Therefore, understanding the factors influencing the acceptance and use of generative AI tools has become a critical consideration. This study examined the acceptance and use of generative AI tools by university students under the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). This survey research was carried out on a sample population consisting of 292 students attending a public university located in the Southeastern part of Türkiye during the Spring semester of the Academic year 2024-2025. The research adopted a web survey methodology and used the partial least squares structural equation modeling technique (PLS-SEM). This research indicates the significant impact of performance expectancy, facilitating conditions, hedonic motivation, and habits on behavioral intention. Effort expectancy, social influence and price value were found not to have significant impact on behavioral intention. Behavioral intention and facilitating conditions were found to have a significant impact on use behavior. The multiple-group analysis also confirms the role of gender as a moderator on the relationship between facilitating conditions and behavioral intention. This research helps fill the existing gaps related to the acceptance and use of generative AI tools in educational contexts. Considering the purposes for which students use generative AI tools, it is observed that they use these tools most frequently for creating written content.

Keywords

Artificial Intelligence, Technology Acceptance, UTAUT2

Ethical Statement

Ethical approval for the study was obtained from the Social and Human Sciences Ethics Committee of Gaziantep Islam Science and Technology University (Date: 30.01.2025, Number: 2025/21).

UTAUT2 Modeli Bağlamında Yapay Zeka Araçlarının Kabulü ve Kullanımının İncelenmesi: Yapısal Eşitlik Modellemesi ile Bir Analiz

Abstract

Bu çalışma, üniversite öğrencilerinin kişisel ve eğitim bağlamlarında yapay zeka teknoloji araçlarını kabul ve kullanımını etkileyen faktörleri incelemektedir. TKKBM2 çerçevesi kullanılarak, 2024-2025 akademik yılında Türkiye'nin güneydoğusundaki bir devlet üniversitesinde 292 öğrenciden çevrimiçi anket yoluyla veri toplanmıştır. Veri analizi için PLS-YEM kullanılmıştır. Yapay Zekâ (YZ), günlük yaşam aktiviteleri ve eğitim ortamlarıyla bütünleşmiş durumdadır. Bu nedenle, üretken YZ araçlarının kabulünü ve kullanımını etkileyen faktörlerin anlaşılması kritik bir husus hâline gelmiştir. Bu çalışma, üniversite öğrencilerinin üretken YZ araçlarını kabulünü ve kullanımını Teknoloji Kabul ve Kullanımının Birleşik Teorisi 2 (TKKBM-2) çerçevesinde incelemiştir. Bu tarama araştırması, 2024-2025 Akademik Yılının Bahar döneminde Türkiye'nin Güneydoğu bölgesinde yer alan bir devlet üniversitesinde öğrenim gören 292 öğrenciden oluşan bir örneklem üzerinde yürütülmüştür. Araştırmada veriler çevrimiçi anket aracılığıyla toplanmış ve kısmi en küçük kareler yapısal eşitlik modellemesi (PLS-YEM) tekniği kullanılmıştır. Bu araştırma, performans beklentisi, kolaylaştırıcı koşullar, hedonik motivasyon ve alışkanlığın davranışsal niyet üzerindeki anlamlı etkisini ortaya koymaktadır. Çaba beklentisi, sosyal etki ve fiyat değerinin davranışsal niyet üzerinde anlamlı bir etkisinin olmadığı bulunmuştur. Davranışsal niyet ve kolaylaştırıcı koşulların kullanım davranışı üzerinde anlamlı bir etkiye sahip olduğu saptanmıştır. Çoklu grup analizi, cinsiyetin kolaylaştırıcı koşullar ile davranışsal niyet arasındaki ilişkide moderatör rolünü de doğrulamaktadır. Bu araştırma, eğitim bağlamında üretken YZ araçlarının kabulü ve kullanımına ilişkin mevcut boşlukların doldurulmasına katkı sağlamaktadır. Öğrencilerin üretken YZ araçlarını hangi amaçlarla kullandıkları değerlendirildiğinde, bu araçları en sık yazılı içerik oluşturmak amacıyla kullandıkları görülmektedir.

Keywords

Yapay Zeka, Teknoloji Kabulü, TKKBM2

Ethical Statement

Çalışma için etik kurul onayı Gaziantep İslam Bilim ve Teknoloji Üniversitesi Sosyal ve Beşeri Bilimler Etik Kurulu'ndan alınmıştır (Tarih: 30.01.2025, Sayı: 2025/21).

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Details

Primary Language

English

Subjects

Accreditation of Undergraduate and Graduate Education Programs, Educational Technology and Computing

Journal Section

Research Article

Authors

Yusuf Kalınkara ^*
0000-0001-6077-9800
Türkiye

Early Pub Date

September 18, 2026

Publication Date

September 20, 2026

Submission Date

January 3, 2026

Acceptance Date

September 7, 2026

Published in Issue

Year 2026 Number: 62

DOI

https://doi.org/10.33418/education.1855067

IZ

https://izlik.org/JA45EJ58LT

APA

Kalınkara, Y. (2026). Examining University Students’ Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling. Educational Academic Research, 62, 91-104. https://doi.org/10.33418/education.1855067

AMA

1.Kalınkara Y. Examining University Students’ Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling. Educational Academic Research. 2026;(62):91-104. doi:10.33418/education.1855067

Chicago

Kalınkara, Yusuf. 2026. “Examining University Students’ Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling”. Educational Academic Research, nos. 62: 91-104. https://doi.org/10.33418/education.1855067.

EndNote

Kalınkara Y (September 1, 2026) Examining University Students’ Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling. Educational Academic Research 62 91–104.

IEEE

[1]Y. Kalınkara, “Examining University Students’ Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling”, Educational Academic Research, no. 62, pp. 91–104, Sept. 2026, doi: 10.33418/education.1855067.

ISNAD

Kalınkara, Yusuf. “Examining University Students’ Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling”. Educational Academic Research. 62 (September 1, 2026): 91-104. https://doi.org/10.33418/education.1855067.

JAMA

1.Kalınkara Y. Examining University Students’ Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling. Educational Academic Research. 2026;:91–104.

MLA

Kalınkara, Yusuf. “Examining University Students’ Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling”. Educational Academic Research, no. 62, Sept. 2026, pp. 91-104, doi:10.33418/education.1855067.

Vancouver

1.Yusuf Kalınkara. Examining University Students’ Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling. Educational Academic Research. 2026 Sep. 1;(62):91-104. doi:10.33418/education.1855067

Content of this journal is licensed under a Creative Commons Attribution NonCommercial 4.0 International License
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Examining University Students' Acceptance and Use of Artificial Intelligence Tools Within the Context of UTAUT2: An Analysis With Structural Equation Modeling

Abstract

Keywords

Ethical Statement

UTAUT2 Modeli Bağlamında Yapay Zeka Araçlarının Kabulü ve Kullanımının İncelenmesi: Yapısal Eşitlik Modellemesi ile Bir Analiz

Abstract

Keywords

Ethical Statement

References

Details

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Subjects

Journal Section

Authors

Early Pub Date

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

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