Date
Publisher
arXiv
The widespread adoption of generative AI is already impacting learning and help-seeking. While the benefits of generative AI are well-understood, recent studies have also raised concerns about increased potential for cheating and negative impacts on students' metacognition and critical thinking. However, the potential impacts on social interactions, peer learning, and classroom dynamics are not yet well understood. To investigate these aspects, we conducted 17 semi-structured interviews with undergraduate computing students across seven R1 universities in North America. Our findings suggest that help-seeking requests are now often mediated by generative AI. For example, students often redirected questions from their peers to generative AI instead of providing assistance themselves, undermining peer interaction. Students also reported feeling increasingly isolated and demotivated as the social support systems they rely on begin to break down. These findings are concerning given the important role that social interactions play in students' learning and sense of belonging.
Study at a glance
- Question: How does generative AI affect peer interactions and learning communities among undergraduate computing students?
- Setting and data: Seven R1 universities across North America; 17 undergraduate computing students; June to October 2024.
- Method: Semi-structured interviews analyzed using reflexive thematic analysis.
Why it matters
Social interactions in learning communities support student learning and belonging. However, the potential impacts of generative AI on peer interactions and classroom social dynamics remain largely unexplored.
Key findings
- Most interviewed students (13 out of 17) described help-seeking as mediated by generative AI, with peers frequently sharing AI outputs or redirecting questions to AI.
- Eleven of 17 participants noticed negative impacts on their learning community, reporting increased feelings of isolation and declining activity in shared communication spaces like Discord.
- Seven participants reported experiencing unprompted shame or stigma regarding their generative AI usage, expressing fear of being judged as lazy, foolish, or cheating by peers and professors.
Summary drafted with AI from the full paper and may contain errors. See the full paper for details.
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