Two professors at different institutions are taking divergent paths to tackle AI's disruption of traditional assignments. One approach embraces the technology, redesigning coursework around AI tools as collaborative partners. The other restricts AI use, demanding students complete work without algorithmic assistance.
The stakes are real. Free AI tools like ChatGPT and Copilot have made essay mills obsolete overnight. Students can generate coherent writing, solve complex problems, and synthesize information in seconds. Traditional assignment structures, built on the assumption that students would struggle alone with a task, no longer function as reliable demonstrations of learning.
The first professor's strategy acknowledges this reality. Rather than fight the tools, this instructor integrates AI into assignment design, asking students to use these systems strategically while maintaining intellectual oversight. Students might prompt ChatGPT to generate first drafts, then substantially revise and analyze the output. They document their process, explaining decisions about what to keep, discard, or improve. This approach treats AI as a literacy issue. Students need to learn how to work with these tools responsibly.
The second professor takes a restrictive stance. This instructor prohibits AI use for specific assignments, enforcing an honor system or using detection software to monitor compliance. The rationale holds that some foundational skills require unmediated struggle. Without grappling directly with difficult concepts, students may develop brittle understanding.
Both approaches reflect real pedagogical concerns. The integration model risks lowering standards if students treat AI output as finished work. The restriction model ignores that AI literacy will shape every workplace these students enter.
The tension points to a deeper problem. Assignment design has not caught pace with technology. Multiple-choice exams and take-home essays once served as reasonable proxies for learning. Both collapse under AI pressure.
Faculty Focus suggests the solution lies in rethinking what work actually demonstrates understanding. Oral presentations, live problem-solving,