3 LLMs & Teaching
Understanding Student AI Use Beyond Simple Detection
Reframing the Conversation
Much of the discourse around students using AI tools focuses on detection and prohibition. While these concerns are understandable, this framing can obscure more productive questions: Why are students turning to these tools, and what does that tell us about how we might better support their learning? A hermeneutic of generosity—an interpretive approach that assumes the best of students rather than the worst—can help us understand student choices more fully and respond more pedagogically.
A Hermeneutic of Generosity Toward Students
When we approach student AI use with generosity, we assume that students are generally trying to learn and succeed, not trying to cheat the system. This doesn't mean ignoring academic integrity, but it does mean starting from curiosity rather than suspicion.
Three Contexts for AI Use
1. Struggles with Language
Some students have a solid grasp of course material but struggle to express their understanding in writing.
A generous interpretation: This student is trying to demonstrate knowledge they actually possess but lack the linguistic tools to express adequately. The AI becomes a translation aid—not from one language to another, but from internal understanding to external expression.
Questions to consider: Are we assessing their understanding of content or their writing ability? Are there ways to scaffold the writing process that help students develop expression skills rather than bypassing them?
2. Struggles with Material
Other students may be genuinely lost with the course content. They turn to AI not to polish their expression but because they do not know where to begin.
A generous interpretation: This student is drowning and grasping for anything that might keep them afloat. Using AI to produce an assignment may feel less shameful than submitting nothing or revealing the full extent of their confusion.
Questions to consider: What earlier concepts might they be missing? Could the AI itself be used as a tutoring tool rather than a production tool?
3. Struggles with Time Management or Competing Demands
Some students understand the material and can write effectively, but are juggling competing demands or have not prioritized the work.
A generous interpretation: This student is making strategic choices about how to allocate limited time and energy across multiple competing demands. They may be working full-time, caring for family members, managing health issues, or dealing with other life circumstances.
Questions to consider: Are assignment deadlines and workloads realistic given students' other commitments? How might we help students develop planning and time management skills without shaming them for their current strategies?
Moving Beyond Detection
Detection tools are unreliable and often produce false positives, particularly for non-native speakers. A purely punitive approach misses an opportunity to understand what students need and how we might teach more effectively.
Practical Implications
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Consider whether your assessments distinguish between content knowledge and expression skills
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Build in process checkpoints (drafts, outlines, reflections) rather than relying solely on final products
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Create opportunities for students to demonstrate understanding in multiple formats
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When AI use is suspected, start with questions rather than accusations
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Discuss AI tools explicitly in your course, including their limitations and appropriate uses
Final Reflection
When you think about a student who might use AI to complete an assignment, which of these three contexts feels most familiar in your teaching experience? What would you want to know about that student's situation before deciding how to respond?