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Session Description

This session examines the transformative potential of AI, including large language models, in personalizing K-12 STEM education. It highlights web-based collaborative design tools for middle school and explores AI’s role in curriculum development, offering insights into innovative, student-centered approaches that enhance engagement and learning outcomes.

Moderated by

1. Dr. Gillian Roehrig

Papers Presented

1. Transforming K-12 STEM Education with Personalized Learning through Large Language Models (Fundamental) [view paper]
   Mr. Michael Thomas Vaccaro Jr (University of Connecticut), Mikayla Friday (University of Connecticut), and Prof. Arash Esmaili Zaghi P.E. (University of Connecticut)


2. Front-end design in middle-school using a web-based collaborative platform: A design-based research approach [view paper]
   Dr. Jutshi Agarwal (University at Buffalo, The State University of New York), Mr. Siddharthsinh B Jadeja (University at Buffalo, The State University of New York), Dr. Corey T Schimpf (University at Buffalo, The State University of New York), Dr. Carolyn S Giroux (Wentworth Institute of Technology), Dr. Shanna R. Daly (University of Michigan), and A Lynn Stephens (Affiliation unknown)


3. Can AI Develop Curriculum? Integrated Computer Science As a Test Case (Research to Practice) [view paper]
   Dr. Julie M. Smith (Institute for Advancing Computing Education), Monica McGill (Institute for Advancing Computing Education), Jacob Koressel (Affiliation unknown), and Bryan Twarek (Affiliation unknown)


4. Title: Building Curiosity and Competency: Designing and Evaluating Activities for Microelectronics Education (Evaluation of Program/Curricula) [view paper]
   Yash Ajay Garje (Purdue University at West Lafayette (COE)), Shauna Adams (Purdue University – West Lafayette (College of Engineering)), Mr. Bruce E Wellman (Purdue University – West Lafayette (College of Engineering)), and Dr. Morgan M Hynes (Purdue University at West Lafayette (COE))