Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.03501 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911299866198016 |
|---|---|
| author | Sunil, Karthik Thakkar, Aalok |
| author_facet | Sunil, Karthik Thakkar, Aalok |
| contents | We present SocraticAI, a scaffolded AI tutoring system that integrates large language models (LLMs) into undergraduate Computer Science education through structured constraints rather than prohibition. The system enforces well-formulated questions, reflective engagement, and daily usage limits while providing Socratic dialogue scaffolds. Unlike traditional AI bans, our approach cultivates responsible and strategic AI interaction skills through technical guardrails, including authentication, query validation, structured feedback, and RAG-based course grounding. Initial deployment demonstrates that students progress from vague help-seeking to sophisticated problem decomposition within 2-3 weeks, with over 75% producing substantive reflections and displaying emergent patterns of deliberate, strategic AI use. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_03501 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SocraticAI: Transforming LLMs into Guided CS Tutors Through Scaffolded Interaction Sunil, Karthik Thakkar, Aalok Computers and Society We present SocraticAI, a scaffolded AI tutoring system that integrates large language models (LLMs) into undergraduate Computer Science education through structured constraints rather than prohibition. The system enforces well-formulated questions, reflective engagement, and daily usage limits while providing Socratic dialogue scaffolds. Unlike traditional AI bans, our approach cultivates responsible and strategic AI interaction skills through technical guardrails, including authentication, query validation, structured feedback, and RAG-based course grounding. Initial deployment demonstrates that students progress from vague help-seeking to sophisticated problem decomposition within 2-3 weeks, with over 75% producing substantive reflections and displaying emergent patterns of deliberate, strategic AI use. |
| title | SocraticAI: Transforming LLMs into Guided CS Tutors Through Scaffolded Interaction |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2512.03501 |