Speaker
Description
The advancement of artificial intelligence (AI) in education has generated growing interest in its integration in education, particularly in mathematics. Nevertheless, teachers’ decisions to use AI tools in their instructional activities are contingent upon various contextual and perceptual factors. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT), this study examined the extent to which performance expectancy, effort expectancy, social influence, and facilitating conditions predict behavioural intention to adopt AI tools among Senior High School (SHS) mathematics teachers in Ghana. A quantitative cross-sectional survey design was employed, and data were collected from 228 mathematics teachers using a structured questionnaire. A multiple linear regression analysis was conducted to assess the predictive power of the four constructs on behavioural intention. The analysis revealed that Performance Expectancy was the strongest predictor of teachers’ intention to adopt AI tools (β = .62,p < .001), underscoring the importance of perceived usefulness. Effort Expectancy (β = .49,p < .001), Social Influence (β = .41,p < .001), and Facilitating Conditions (β = .33,p < .001) also contributed positively and significantly. The study contributes empirical evidence to the emerging discourse on AI integration in mathematics education in Ghana. It underscores the need for policy interventions that enhance teachers’ access to supportive infrastructure and professional development. Implications for practice include designing context-specific implementation strategies that address teachers’ perceived usefulness of AI tools, ease of use, and the availability of social and institutional support systems. Recommendations for further research include extending the model to actual usage behaviours and incorporating moderating variables such as age, teaching experience, and voluntariness of use.
Keywords:
Artificial intelligence, Teacher adoption, Behavioural intention, UTAUT, mathematics education