Raspberry Pi – free seminar for educators

“Teaching youth to critically evaluate AI in healthcare while learning and applying data science and machine learning skills“

When: 14th April @ 17:00 – 18:30 (BST) | 12:00–13:30 EDT / 9:00–10:30 PDT / 18:00–19:30 CST
Speaker: Kathryn Jessen Eller (Data Science, AI & You (DSAIY) in Healthcare)

Subject: In this seminar, Kathryn Jessen Eller will share how the Data Science, AI and You (DSAIY) in Healthcare programme combines a semester-long high school foundations course with current event datathons to help students understand how AI works and how it impacts society. She will describe how the course introduces essential ideas, graphing, statistics, correlation, and linear regression via free online programs.

Speaker bio: Kathryn Jessen Eller is Principal Investigator of the National Science Foundation-funded Data Science, AI and You (DSAIY) in Healthcare program. Her work focuses on designing and studying data science and AI learning experiences.

“In this seminar, Kathryn Jessen Eller will share how the Data Science, AI and You (DSAIY) in Healthcare programme combines a semester-long high school foundations course with current event datathons to help students understand how AI works and how it impacts society. She will describe how the course introduces essential ideas, graphing, statistics, correlation, and linear regression via free online programs such as CODAP as a foundation for interpreting Python-generated pair plots, scatterplots, boxplots, and histograms. 

These visual tools and additional short engaging activities from sources like code.org help students learn to identify meaningful features, compare models, and understand supervised versus unsupervised learning. Students also learn to design, train, test, and refine a model. Kathryn will also discuss how students explore bias at every stage of the machine learning process, from data collection to model interpretation. Student collaboration with teachers, data scientists, and clinicians during DSAIY’s intergenerational healthcare datathons reinforces foundational concepts learned during the course.”