Bridging AI innovation and the classroom — one framework at a time.
AI is advancing faster than education can absorb it. I work at that gap — bridging AI innovation and the classroom by building frameworks, tools, and deployed systems that help educators integrate AI with intention and purpose. And on the other side of that bridge, I ensure students engage with AI in ways that are ethical, transparent, and genuinely augmenting their learning rather than replacing it.
AI will not transform higher education by itself. It will be transformed by the educators, designers, and scholars who ask the harder questions — not just what AI can do, but what it should do, for whom, and under what conditions.
I see a future where AI integration in higher education is not left to individual faculty to figure out alone — where institutions have the frameworks, tools, and trained educators to make responsible AI adoption the default rather than the exception. Where students are not passive recipients of AI-mediated instruction but active, literate, ethical participants who understand what AI is doing and why.
My role in shaping that future is to build the infrastructure — the frameworks, the agents, the evaluation tools, the literacy models — that make responsible integration possible at scale. Not for one course or one institution, but for the field.
Assistant Teaching Professor, College of Engineering and Innovation
Bowling Green State University · earef@bgsu.edu