Teacher Candidates’ Innovativeness and Attitudes Towards Artificial Intelligence: A Relational Study
Makaleler > Tam Makale · 2026
Yazarlar: ENGİN BALIKCI, Tarık KIŞLA
International Journal on Studies in Education, ESCI İndekslerine Giren Dergi, Uluslararası, Emerging Sources Citation Index (ESCI), 2026, cilt 8, ss 356-381
DOI: 10.46328/ijonse.5661
Özet
This study aims to examine the relationship between teacher candidates' individual innovativeness levels and their attitudes towards artificial intelligence. In particular, it focuses on whether there is a significant relationship between these two variables and investigates whether teacher candidates' demographic characteristics lead to any differences. Within the scope of the research, the relationship between teacher candidates' individual innovativeness and their attitudes towards artificial intelligence was examined with respect to variables of gender, department, grade level, and research experience with artificial intelligence. A relational survey model was employed, and data were collected from 459 teacher candidates. The Individual Innovativeness Scale and the General Attitude Towards Artificial Intelligence Scale were used as data collection instruments. As a result of the analyses, no significant difference was found in the overall individual innovativeness profiles of teacher candidates based on gender. However, statistically significant relationships were observed for department, grade level, and research experience with artificial intelligence. Regarding attitudes towards artificial intelligence, significant differences emerged for gender, department, and grade level, whereas no statistically significant difference was found for the research experience with artificial intelligence. Finally, a correlation analysis revealed a very weak positive relationship that was not statistically significant between teacher candidates' individual innovativeness levels and their attitudes towards artificial intelligence.