2026 ASEE Annual Conference & Exposition

Cultivating Neuroadaptive Learning Ecosystems through AI-Powered Personalized Learning

Presented at NSF Grantees Poster Session II

This newly funded NSF PFE-RED project reimagines the first two years of engineering education through neuroinclusive, AI-enabled learning environments. Grounded in the concept of neurodiversity as the natural variation in how individuals think and learn, the project seeks to create classrooms and support systems that flex to meet the cognitive strengths and needs of all students.

At the University of Missouri and the University of Connecticut, faculty teams are redesigning foundational courses in engineering and mathematics using principles of universal design for learning and inclusive pedagogy. A virtual academic coach, powered by large language models, will support students through personalized feedback and strategies to build self-regulation, time management, and metacognitive skills. Faculty will participate in a structured professional development sequence—including the Neuroinclusive Teaching Institute and interdisciplinary I-teams—to guide course transformation and the integration of AI-powered tools.

Research will examine how these interventions influence engagement, persistence, and engineering identity across cognitively diverse learners, and how institutional practices can foster long-term cultural change toward inclusive excellence. The project will produce openly available tools, training materials, and models to help institutions nationwide create neuroadaptive learning ecosystems that prepare the next generation of engineers.

Authors
  1. Dr. Sarira Motaref P.E. University of Connecticut [biography]
  2. Prasad Calyam University of Missouri - Columbia
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026