As asynchronous courses expand across CUNY, one challenge remains stubbornly familiar: students may complete every module yet remember very little of what they encountered.

This article explores how instructors can design online learning around four evidence-informed memory principles: chunking, concrete examples, callbacks, and curiosity. It…[Read more]

Dear colleagues,

I wanted to share a small but meaningful update related to generative AI in education.

Our paper, “Integrating Universal Generative AI Platforms in Educational Labs to Foster Critical Thinking and Digital Literacy,” has been cited in a new MDPI Smart Cities article on multimodal generative AI for construction-site management and…[Read more]

Znamenskiy, Vasiliy. “Teaching AI-Ready Computational Science with NAIRR Resources: A ‘Computer Methods in Science’ Course”. Presented at the 2026 NAIRR Annual Meeting (NAIRR2026), Arlington, VA, USA, March 11, 2026. https://doi.org/10.5281/zenodo.19193456.

AAC&U Conference on AI and Higher Education
Building a Path Forward —Together
Artificial intelligence is rapidly reshaping teaching, learning, research, institutional operations, and the future of academic work. Colleges and universities must move quickly from experimentation to coordinated, institution-wide strategies that align AI innovation w…[Read more]

Hello colleagues in Artificial Intelligence in Education,
I’m reaching out to invite collaboration with instructors and programs that want to bring AI-enabled scientific computing workflows into the classroom—through assignments, demos, student mini-projects, and small-scale research experiences.
I’m the PI of the NAIRR Classroom Pilot proje…[Read more]