Effects of artificial intelligence on pre-service teachers mathematics learning outcomes in colleges of education

Abstract

Despite the growing body of research on pre-service teachers' perceptions and attitudes towards artificial intelligence, little is known about how artificial intelligence-assisted instruction affects pre-service teachers' engagement, problem-solving skills, and mathematics education outcomes at Ghanaian colleges of education. Pre-service teachers need to be attuned to integrate artificial intelligence in their teaching and learning when given the nod. This correlational quantitative study selected 296 Level 300 Mathematics Education students. Data was collected using a structured questionnaire. A structural Equation Modeling was performed to response the hypothesized paths. The study revealed that artificial intelligence usage had a significant positive effect on students’ engagement. Moreover, artificial intelligence usage had a significant positive effect on students’ performance and problem-solving. The findings of this study underscore the transformative potential of artificial intelligence in educational settings.