Katie Silva
Papers
1
Total Citations
2
H-Index
1
About
Katie Silva is an emerging researcher in AI education and science communication, with a focus on understanding and addressing preconceptions about artificial intelligence among underrepresented groups. Her most-cited work, "Assessing High School Girls' Preconceptions About Artificial Intelligence To Improve Learning" (2020), draws on foundational principles of constructivist learning theory to explore how students’ initial understandings shape their engagement with AI topics. Though early in her career, with 2 citations to date, Silva’s research offers a critical contribution to inclusive STEM education by identifying specific misconceptions that can hinder learning and designing pedagogical interventions to bridge those gaps. Her work sits at the intersection of educational psychology, gender equity in STEM, and AI literacy, aiming to make AI more accessible and meaningful for high school girls. Silva’s approach is notable for its emphasis on listening to learners before teaching them—a strategy that promises to improve both retention and interest in AI fields. As the demand for diverse talent in AI grows, Silva’s research provides a timely and necessary foundation for curriculum developers and educators seeking to create more effective, inclusive learning environments.
Research Focus
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Top Papers
- 1