Enas Aref — Assistant Teaching Professor, BGSU
I work at the intersection of human factors, AI ethics, instructional design, and management — building frameworks, tools, and deployed systems that institutions can actually use.
What I build
I spot structural problems in fields where people are underserved by the systems designed to support them — and I build things that address them. Each research and teaching domain is independent and rigorous; together, they form a coherent scholarly identity.
Seven-layer framework ecosystem for ethical, human-centered AI integration in higher education. Deployed agents, evaluation rubrics, and literacy models.
Machine learning and computer vision applied to fatigue classification in repetitive motion tasks. Interdisciplinary PhD research at WMU.
Designing learning environments that recognize the full humanity of students and educators. Grounded in care ethics, grief scholarship, and practice.
Team dynamics, conflict resolution, project management, and AI integration in organizational settings. Classroom-tested and practitioner-grounded.
Instructional design, active learning, and the scholarship of teaching and learning. Curriculum development across engineering, technology, and management.
Selected impact
Scholarship that is classroom-tested becomes more useful when it travels — into institutions, policy conversations, and practitioner communities. Below is one example of that reach.
Michigan SBDC · Google.org Initiative
The AI Literacy Framework was cited as a core framework in the Michigan Small Business Development Center's official guide on Artificial Intelligence for Small Businesses — part of America's SBDC AI U, a national initiative supported by a $10 million Google.org grant to equip small businesses across the United States with AI literacy and tools.
Explore
For speaking inquiries, collaboration, or questions about my work.