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  • Ordu Üniversitesi Bilim ve Teknoloji Dergisi
  • Cilt: 15 Sayı: 2
  • Investigating Teachers’ Awareness Levels of Artificial Intelligence Based on Different Variables

Investigating Teachers’ Awareness Levels of Artificial Intelligence Based on Different Variables

Authors : Mesut Ayaz, Hasan Karal, Ali Kürşat Erümit
Pages : 274-289
Doi:10.54370/ordubtd.1706078
View : 80 | Download : 172
Publication Date : 2025-12-27
Article Type : Research Paper
Abstract :The main purpose of this study is to determine the artificial intelligence awareness levels of teachers working in Trabzon. In this study, the relational screening model, one of the quantitative research methods, was used. The sample of the study consists of 519 primary and secondary school teachers working in Trabzon. According to the data obtained, participants in the 24-30 age group have significantly higher scores than other age groups in all sub-dimensions and total self-efficacy score. In addition, the 31-40 age group also scored higher than older age groups in the Associative sub-dimension. It was also determined that the 31-40 age group had significantly higher scores than the 41-50 and 51 and above age groups in the Associative sub-dimension. The research results show that the professional experience of teachers significantly affects their scores in various sub-dimensions. In particular, teachers with 1-5 years of experience received higher scores in many dimensions, while those with 11-20 years of experience received lower scores in some dimensions. Participants with postgraduate education had significantly higher scores compared to undergraduate graduates in the sub-dimensions of Application Knowledge, Ability to Relate, and Theoretical Knowledge. Similarly, the Teachers\\\' Artificial Intelligence Awareness Level Scale (AIALS) scores also showed a significant difference in favor of postgraduate graduates. It shows that the self-efficacy levels of teachers differ significantly according to their branches. Information Technologies teachers had statistically significantly higher scores in all sub-dimensions and total scores compared to other branches. The research findings show that the strength of the connection that teachers establish between their field knowledge and artificial intelligence technologies shapes their awareness levels. It was determined that the AIALS and sub-dimension scores of participants working in rural areas/villages were significantly lower than those working in provincial and district centers.
Keywords : öğretmenler, yapay zekâ farkındalığı, ilişkisel tarama

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