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.
http://orcid.org/https://0000-0002-2592-925X
University of Missouri - Columbia
[biography]
http://orcid.org/0000-0002-3408-2070
University of Missouri - Columbia
[biography]
http://orcid.org/0000-0002-7896-039X
University of Missouri - Columbia
[biography]
http://orcid.org/0000-0003-2246-2911
University of Connecticut
[biography]
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