Margaret Ellis, Nikitha Donekal Chandrashekar, Sehrish Basir Nizamani, Mohammed Farghally, Jake O'Brien, Naren Ramakrishnan — SIGCSE Virtual 2026, submitted 29 Jun 2026 📄 Full text (arXiv)
DURA framework (Demystify-Use-Reflect-Assess) for structured LLM integration in CS2 courses shows students value instructional guidance alongside LLM access, with increased office hours attendance.
Key Contributions
- DURA framework (Demystify-Use-Reflect-Assess) for structured LLM integration in CS2 courses shows students value instructional guidance alongside LLM access, with increased office hours attendance.
Connections to AI in Education
This paper contributes to the growing body of research on AI applications in educational settings, specifically in the domains of llm-in-education, intelligent-tutoring-systems, and equity. The findings have implications for how educators design learning experiences that leverage AI while maintaining appropriate pedagogical oversight.
Related Pages
- student-experience — student perspectives on AI
- academic-integrity — academic integrity with LLMs
- ai-literacy — AI literacy in higher education
Citation
APA: Margaret Ellis, Nikitha Donekal Chandrashekar, Sehrish Basir Nizamani, Mohammed Farghally, Jake O'Brien, Naren Ramakrishnan (2026). Demystify, Use, Reflect, Assess (DURA): An Experience Report on LLM Integration in CS2. arXiv:2606.30908. SIGCSE Virtual 2026, submitted 29 Jun 2026