11 Faculty Members Warn AI Erodes Student Learning and Forces Teaching Overhauls
Updated
Updated · The New Yorker · May 26
11 Faculty Members Warn AI Erodes Student Learning and Forces Teaching Overhauls
2 articles · Updated · The New Yorker · May 26
Eleven U.S. faculty members said student use of generative A.I. has hollowed out core learning tasks, turning essays and reflections into polished but shallow work and leaving teachers grieving the loss of genuine intellectual struggle.
60 students in one religion course suddenly stopped struggling with a capstone synthesis assignment, while other professors estimated A.I. use at roughly 50% in some in-person classes and 80% to 90% online.
Faculty said they have responded by shifting to blue books, handwritten brainstorming, oral exams, in-class writing and video responses, but those fixes add heavy workload and often do not scale.
Several professors described a broader erosion of trust and rigor, saying they now act more like plagiarism police than mentors, while inconsistent campus policies and hard-to-prove cheating worsen the problem.
Some instructors acknowledged benefits for research, coding and course preparation, but said those gains do not resolve a deeper fear that A.I. is accelerating higher education's drift from learning toward mere credentialing.
Beyond cheating, AI fuels millions in financial aid fraud. How are colleges fighting back against these 'ghost students'?
AI can cripple student minds or unlock potential. What one factor determines which outcome prevails in the classroom?
Navigating Generative AI in Higher Education: Faculty Concerns, Student Skills, and Strategies for Responsible Integration (2025-2026)
Overview
Between 2025 and 2026, higher education faculty are deeply engaged in discussions about generative AI, balancing significant concerns about academic integrity and critical thinking with cautious optimism about AI’s potential benefits. While many professors worry about the impact on the value of degrees and essential learning processes, a majority also believe AI can enhance and personalize learning. Notably, 61% expect AI to improve learning experiences, and many see gains in student writing and research skills. This nuanced perspective highlights both the risks and the transformative promise of AI in shaping the future of education.