Carolyn Sealfon

Carolyn Sealfon
Research Scholar
Learning Development & Assessment
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My background is in theoretical cosmology (cosmostatistics) and faculty development (evidence-based approaches to teaching and learning). My passion is to help people work together to realize our potential by nurturing analytical thinking skills and compassion. I enjoy investigating underlying principles that connect wide-ranging phenomena.

I am currently interested in the intersection of machine learning and human learning. In particular, I am exploring applications of machine learning to create scalable and inclusive assessments of higher-order thinking skills. I also design and adapt classes, curricula, and instructional activities to help learners develop habits of mind. In this information age, we can find facts, concepts, and procedures on the internet, yet most current learning assessments focus on these lower-order skills. The most valuable learning involves how we process, evaluate, and connect information and how we relate to each other. More convenient and authentic assessments for such higher-order learning may help shift institutional incentives to encourage more meaningful, enjoyable, rigorous and equitable learning experiences.

Find out more at

Contact Carolyn at carolyn [ dot ] sealfon at-sign ronininstitute <dot> org

Physics, Education, Data Science, Learning Analytics