GenAI's immediate answers reduce engineering students' teacher-student interactions for generalizable tasks, while teachers remain preferred for complex problem-solving¶

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

Subclaims¶

q2 i? Students' use of GenAI reduces teacher-student interactions when performing generalizable tasks, driven by the contradiction between new expectations for self-directed, efficient support and teachers' limited capacity to meet them. → Tiina Leino Lindell 2026

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

Authors' conclusion to the teacher-role theme of the interview study. A student explained: "Often, it takes longer to ask the teacher, and ChatGPT gives immediate answers", valuing the feeling of having figured it out alone; another skipped early-morning TA exercises, asking ChatGPT instead.

"To conclude, the participating students' use of GenAI reduces teacher-student interactions when performing generalizable tasks."

Discussion¶

Related Claims¶

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