General Attitudes of Prospective Science and Mathematics Teachers Towards Artificial Intelligence

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Titel: General Attitudes of Prospective Science and Mathematics Teachers Towards Artificial Intelligence
Autoren: Hülya Güngör, Özlem Kılıç, İbrahim Ünal
Quelle: Volume: 15, Issue: 1116-138
Adıyaman Üniversitesi Eğitim Bilimleri Dergisi
Adıyaman University Journal of Educational Sciences
Verlagsinformationen: Adiyaman University, 2025.
Publikationsjahr: 2025
Schlagwörter: Artificial intelligence, Attitude, Pre-service science teacher, Pre-service mathematics teacher, Science Education, Fen Bilgisi Eğitimi, Yapay zeka, Tutum, Yapay zekâ, Fen bilgisi öğretmen adayı, Matematik öğretmen adayı, Mathematics Education, Matematik Eğitimi, Learning Sciences, Öğrenme Bilimleri
Beschreibung: Artificial intelligence, which we encounter in every field of life, increases its importance day by day. Mankind has started to rapidly spread this technology, which has just emerged, to all areas of life. Artificial intelligence has managed to have a say in every field from the health sector to education. Attitudes towards artificial intelligence have also started to gain importance in different professions. One of the professions affected by this situation is undoubtedly the teaching profession. Increasing levels of concern and changing attitudes towards artificial intelligence have become important in order to adapt to potential technologies to be used in the education and training process. This study aims to examine the attitudes of pre-service science and mathematics teachers towards artificial intelligence according to the factors of gender, department and graduated high school. For this purpose, the general attitude scale towards artificial intelligence was applied to pre-service teachers and then the data were analysed by independent t-test and Anova test. The data obtained show that the gender of the pre-service teachers and the type of high school they graduated from do not have a significant effect on the general attitude towards artificial intelligence. However, a significant difference was observed between pre-service science teachers' general attitudes towards artificial intelligence and pre-service mathematics teachers' general attitudes towards artificial intelligence. Within the scope of the results of this study, it may be useful to develop teaching programmes focusing on artificial intelligence for pre-service teachers in the long term and to increase the technological equipment in the classrooms where they study.
Publikationsart: Article
Dateibeschreibung: application/pdf
ISSN: 2149-2727
DOI: 10.17984/adyuebd.1550736
Zugangs-URL: https://dergipark.org.tr/tr/pub/adyuebd/issue/93303/1550736
Dokumentencode: edsair.doi.dedup.....4ab6af9ec93c54efe1d36ed4d9c6291f
Datenbank: OpenAIRE
Beschreibung
Abstract:Artificial intelligence, which we encounter in every field of life, increases its importance day by day. Mankind has started to rapidly spread this technology, which has just emerged, to all areas of life. Artificial intelligence has managed to have a say in every field from the health sector to education. Attitudes towards artificial intelligence have also started to gain importance in different professions. One of the professions affected by this situation is undoubtedly the teaching profession. Increasing levels of concern and changing attitudes towards artificial intelligence have become important in order to adapt to potential technologies to be used in the education and training process. This study aims to examine the attitudes of pre-service science and mathematics teachers towards artificial intelligence according to the factors of gender, department and graduated high school. For this purpose, the general attitude scale towards artificial intelligence was applied to pre-service teachers and then the data were analysed by independent t-test and Anova test. The data obtained show that the gender of the pre-service teachers and the type of high school they graduated from do not have a significant effect on the general attitude towards artificial intelligence. However, a significant difference was observed between pre-service science teachers' general attitudes towards artificial intelligence and pre-service mathematics teachers' general attitudes towards artificial intelligence. Within the scope of the results of this study, it may be useful to develop teaching programmes focusing on artificial intelligence for pre-service teachers in the long term and to increase the technological equipment in the classrooms where they study.
ISSN:21492727
DOI:10.17984/adyuebd.1550736