Mathematics Teachers' Perceptions of Competence Regarding the Use of Artificial Intelligence in Mathematics Lessons

Abstract

The purpose of this research is to determine the competence perceptions of secondary school mathematics teachers regarding the use of artificial intelligence according to different variables (gender, professional seniority, type of faculty graduated, educational status, desire to do postgraduate education). The research is a descriptive causal comparison research. The study group of the research consists of 69 mathematics teachers working in secondary schools in the 2023-2024 academic year. The research was conducted on the study group and no sampling was used. In the research, data were obtained using a "personal information form" and "attitude scale towards artificial intelligence". In the research, frequency, percentage, arithmetic mean and standard deviation were used to determine mathematics teachers' competence perceptions regarding the use of artificial intelligence. For the causal comparison design, t-test for independent groups and ANOVA test were used. As a result of the research, it was determined that mathematics teachers' competence perceptions regarding the use of artificial intelligence were positive. In addition, it was found that there was no difference in the positive attitude or negative attitude sub-dimensions of the scale according to the variables of teachers' gender, professional seniority, type of faculty graduated, educational status, and desire to do postgraduate education.