Healthcare Data Science, Artificial Intelligence, and Machine Learning: Exploring Context-Based Learning for High School Students
Description
This paper reports perspectives of high school students and their teachers on how context-based learning can support students with varied educational and vocational aspirations to engage with and learn about emerging fields. Specifically, through analyses of qualitative data from student and teacher interviews, this study explores how a healthcare context-based curriculum featuring in-class activities and an out-of-class datathon can introduce students to core concepts, practices, and the role of fields like data science, AI, and ML.
Suggested citation:
A.D. Bopardikar, M. Cassidy, A. Gardiner, E. Price, L. Hendrik, B. Jackson, L. A. Celi, and K. Jessen Eller. (2025). Healthcare data science, artificial intelligence, and machine learning: Exploring context-based learning for high school students. Paper presented at the 2025 Annual Meeting of the American Educational Research Association (AERA), Denver, CO, USA, Apr. 27, 2025. doi: 10.3102/2188867.