Publications

This paper presents an empirical study of high school teachers’ perspectives on context-based learning about Artificial Intelligence (AI) and data science. Four teachers were interviewed after they had enacted a curriculum contextualized in healthcare. The data were coded for teachers’ perspectives on what students learned; on the kinds of tasks that engaged students; and on the challenges and needs in teaching and learning about these fields. While context-based learning has the potential to promote students’ career awareness and appreciation of AI and data science, future research needs to examine how best to sequence and structure tasks to help students develop requisite knowledge and how best to curate complex data sets. 

Suggested citation: 

Bopardikar, A., Cassidy, M., Gardiner, A., Price, E., Hendrik, L., Jackson, B., Celi, L. A., & Jessen Eller, K. (2025). Exploring teachers' perspectives on enacting context-based learning of artificial intelligence (AI) and data science to support students' engagement and understanding [Interactive digital poster presentation]. International Society of Learning Sciences Annual Meeting, Helsinki, Finland.