Nice survey paper on how GenAI bridges skill gaps in student coding teams while maintaining educational value
📚 https://arxiv.org/abs/2410.23069
🔧 Methodology of this Paper:
→ Conducted a semester-long study with 39 second-year undergraduate students using GenAI in software projects
→ Mixed-method approach: Surveys (39 students) + In-depth interviews (8 students)
→ Students used GenAI only for coding, not for design reports
→ Applied learning theory frameworks to analyze data
→ Developed preliminary design space for GenAI-based programming tools
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💡 Key Insights:
→ 77% students reported improved programming task efficiency
→ GenAI acted as additional team member for code review
→ Helped bridge skill gaps between team members
→ 53% felt increased critical thinking abilities
→ Students preferred on-demand AI assistance over continuous suggestions
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📊 Results:
→ 44% students used GenAI occasionally
→ Overall positive experience rating: 3.64/5
→ Most used tools: ChatGPT (33 users), GitHub Copilot (15 users)
→ 77% reported increased task completion efficiency
→ 53% noted improved problem-solving abilities
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