Conflicting student and teacher rules for GenAI produce adaptive counter-norms and student calls for teachers to refine assignments rather than impose unenforceable restrictions¶

Claim · All claims
Evidence · 1 study (2 entries) · qualitative r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Teacher-imposed GenAI rules have led to adaptive counter-norms guiding students' GenAI use in ways that blur the line between human- and AI-generated work, making assessment more complex. → Tiina Leino Lindell 2026 q2 i? Students report inconsistent teacher rules for GenAI and suggest teachers refine assignments instead of imposing restrictions that cannot be enforced. → Tiina Leino Lindell 2026 (2)

Evidence¶

Tiina Leino Lindell 2026¶

Tiina Leino Lindell, Christian Stöhr. (2026). The AI disruption in engineering education: an analysis of changing student norms through cultural historical activity theory. Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-025-09488-8

q2 · i? · qualitative · r2

CHAT interpretation in the teacher-role theme. A student described teachers noticing AI-generated patterns, grading differently, and students adapting: "Now, I still take inspiration and write in a similar way, but in a way that feels more human."

"This quote indicates a contradiction, as teacher-imposed rules have led to adaptive counter-norms guiding these students' use of GenAI in ways that blur the line between human- and AI-generated work."

Tiina Leino Lindell 2026 (2)¶

Tiina Leino Lindell, Christian Stöhr. (2026). The AI disruption in engineering education: an analysis of changing student norms through cultural historical activity theory. Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-025-09488-8

q2 · i? · qualitative · r2

Student suggestion quoted in the teacher-role theme, manifesting a contradiction between students' and teachers' rules. Another student reported teachers being inconsistent, from ChatGPT being completely forbidden to conditional use with verified calculations.

"I think it' s more about improvement for those teachers whose questions can simply be fed into ChatGPT—they may need to refine their assignments rather than impose restrictions that can never truly be enforced."

Discussion¶

Related Claims¶

• GenAI's immediate answers reduce engineering students' teacher-student interactions for generalizable tasks, while teachers remain preferred for complex problem-solving — related
• Engineering students develop implicit rules for using GenAI as a self-directed, efficient learning tool when traditional educational tools fall short — related
• In interviews with 25 engineering students at one Swedish university, students described GenAI as acceptable when it stimulates reflection and directly copying its outputs as cheating, and one used its fallibility as a prompt to double-check — related
• Nearly all students valued learning through effort while feeling drawn toward AI, and split into those who limited use and those whose use conflicted with stated values — related
• Generic binary GenAI declarations fail to capture the diversity of ways students use GenAI in academic work — related
• Undifferentiated GenAI integrity rules convert linguistic disadvantage into integrity risk for EAL students — related
• Student reflections revealed tensions between efficiency and academic integrity, and uncertainty about institutional expectations of GenAI use — related
• Neither ecological theory nor CHAT alone fully captures ethical AI use in education — related