Tejal Reddy

Papers

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About

Tejal Reddy is a researcher at the intersection of artificial intelligence and education, with a primary focus on making AI concepts accessible to young learners. Her most influential work, "Text Classification for AI Education" (2021, 23 citations), demonstrates her commitment to bridging the gap between complex machine learning techniques and K-12 education. In this pioneering study, Reddy developed a text classifier extension integrated into a block-based programming interface, specifically designed to introduce middle school students to fundamental AI concepts. This hands-on approach allows students to build and experiment with text classification models without requiring advanced programming skills, effectively lowering the barrier to AI literacy. Reddy's contributions are particularly significant in the emerging field of AI education, where she has helped establish pedagogical frameworks for teaching machine learning to novice programmers. Her work has been cited by educators and researchers developing similar tools for classroom use, and she continues to explore how interactive, visual programming environments can demystify artificial intelligence for the next generation of technologists.