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Toward a National Infrastructure for Equitable, AI-Enhanced Learning Diagnostics in STEM Education
Sun, April 12, 11:45am to 1:15pm PDT (11:45am to 1:15pm PDT), InterContinental Los Angeles Downtown, Floor: 7th Floor, Hollywood Ballroom ISession Type: Symposium
Abstract
This session explores the integration of cognitive diagnostic assessment and AI-powered supports into a national educational infrastructure for equitable STEM learning. Presenters will share innovations in psychometric modeling, adaptive testing, and generative AI content selection—demonstrating how these tools are deployed on the LASSO platform, which serves over 250 faculty across diverse institutions. Talks span foundational psychometric methods, cross-disciplinary CD development, AI-optimized learning supports, and a visionary roadmap for platform-scale expansion. The session demonstrates how generative AI and CD-CAT can improve equity and instructional decision-making in large-enrollment STEM courses. Together, these talks highlight a new model for educational infrastructure, open, research-aligned, and equity-centered, designed to empower instructors and fuel large-scale, actionable research on student learning.
Sub Unit
Chair
Papers
Optimizing Cognitive Diagnosis CAT: Addressing Practical Challenges through Psychometric Innovation - Jing Huang, Purdue University; Yuxiao Zhang, Purdue University; Xiyu Wang, Purdue University; Hua-Hua Chang, Purdue University
Cognitive Diagnostics for Calculus and Mechanics - Jayson Nissen, Montana State University; Kevin Roberge; Ben Van Dusen, Iowa State University
An AI-Driven Expert Framework for Instructional Content Recommendation via Adaptive Testing within Intelligent Learning Systems - Amirezza Mehrabi, Purdue University; Jason W Morphew, Purdue University
Envisioning LASSO as National Infrastructure: Scaling Cognitive Diagnostics and Unlocking Equitable Learning Data - Ben Van Dusen, Iowa State University; Jayson Nissen, Montana State University; Jason W Morphew, Purdue University
Exploring the Role of CD-CAT in Gateway STEM Learning with Generative AI - Hua-Hua Chang, Purdue University