Acceptance and Usage Patterns of Generative Artificial Intelligence Among Higher Education Students

MakaleAçık Erişim
  • SDG 4 · Nitelikli Eğitim

Özet

The present study aims to investigate acceptance levels and usage patterns of generative artificial intelligence (GenAI) among higher education students. A survey was conducted among 318 students enrolled at a public university inTürkiye to collect data. The data were collected using the Generative Artificial Intelligence Acceptance Scale and a Personal Information Form, and analysed using descriptive statistics, independent samples t-tests, one-way ANOVA, and correlation analysis. The findings indicated that students in higher education generally exhibit high acceptance of GenAI technologies. Over half of the students reported using at least one GenAI tool, with ChatGPT being the most commonly used. The results further showed no significant differences in GenAI acceptance between male and female students, nor based on students’ grade point averages or academic year. However, a significant difference was observed between undergraduate and associate students in terms of social influence scores.The high GenAI acceptance levels among students highlight the necessity of establishing guidelines to ensure its ethical, effective, and responsible use. The findings provide valuable insights for educatorsand administrators offering guidance for the informed adoption and implementation of GenAI tools in educational settings.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/16054Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.33418/education.1822770Yayıncı resmi DOI adresi
İndeks kayıtları
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.
Atıflar
OpenAlex
0
TR Dizin
0
Her kaynağın kendi saydığı toplam atıf; aktarım ve zenginleştirme sırasında alındı.
Tam Kayıt
AlanDeğerDil
dc.contributor.authorAksoy, Dilara Arzugül
dc.contributor.authorAkyel, Anıl Kadir
dc.date.accessioned2026-10-29T19:24:20.581167213Z
dc.date.available2026-10-29T19:24:20.581167213Z
dc.date.issued2026
dc.description.abstractThe present study aims to investigate acceptance levels and usage patterns of generative artificial intelligence (GenAI) among higher education students. A survey was conducted among 318 students enrolled at a public university inTürkiye to collect data. The data were collected using the Generative Artificial Intelligence Acceptance Scale and a Personal Information Form, and analysed using descriptive statistics, independent samples t-tests, one-way ANOVA, and correlation analysis. The findings indicated that students in higher education generally exhibit high acceptance of GenAI technologies. Over half of the students reported using at least one GenAI tool, with ChatGPT being the most commonly used. The results further showed no significant differences in GenAI acceptance between male and female students, nor based on students’ grade point averages or academic year. However, a significant difference was observed between undergraduate and associate students in terms of social influence scores.The high GenAI acceptance levels among students highlight the necessity of establishing guidelines to ensure its ethical, effective, and responsible use. The findings provide valuable insights for educatorsand administrators offering guidance for the informed adoption and implementation of GenAI tools in educational settings.
dc.identifier.doi10.33418/education.1822770
dc.identifier.eissn2822-3535
dc.identifier.endpage78
dc.identifier.issue61
dc.identifier.startpage69
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/16054
dc.language.isoen
dc.relation.ispartofEducational academic research (Online)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectEğitim, Eğitim Araştırmaları
dc.subjectBilgisayar Bilimleri, Yapay Zeka
dc.titleAcceptance and Usage Patterns of Generative Artificial Intelligence Among Higher Education Students
dc.typeArticle
rdl.citation.openalex0
rdl.citation.trdizin0
rdl.oa.statusgold
rdl.oa.urlhttps://dergipark.org.tr/en/download/article-file/5416461
rdl.sdgSDG04
rdl.source.indexTRDIZIN