Jake Lauer
Papers
1
Total Citations
2
H-Index
1
About
Jake Lauer’s research sits at the intersection of artificial intelligence education and gender equity in STEM, with a sharp focus on how preconceptions shape learning outcomes. His most-cited work, “Assessing High School Girls' Preconceptions About Artificial Intelligence To Improve Learning” (2020), has garnered 2 citations and stands as a foundational contribution to understanding how students’ initial mental models of AI can either hinder or enhance classroom engagement. By systematically identifying the misconceptions high school girls bring to AI topics, Lauer provides educators with actionable insights to design more inclusive and effective curricula. His work underscores a critical, often overlooked step in AI literacy: before teaching the technology, we must first teach the learner. Lauer’s research is especially notable for its practical orientation—bridging cognitive science, educational psychology, and computer science to address real-world disparities in STEM participation. For students and researchers alike, his work serves as a compelling reminder that improving AI education begins not with algorithms, but with listening to what learners already believe.
Research Focus
Key Achievements
Top Papers
- 1