Assessing student perceptions of artificial intelligence within the community college system

Abstract

This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables – age, gender, school, and employment – to predict students’ level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of students within a community college in the northeastern U.S. The findings showed that age, gender, and school are significant predictors of readiness, while employment was not a significant predictor. Additionally, the findings showed no significant interaction effect between age and employment on readiness. The implications of the findings are discussed, and recommendations for further research are provided.