arXiv (All)
open access
Understanding Student Use of Large Language Models Across Computer Science Subfields
This research full paper examines how undergraduate students use large language models (LLMs) across computer science subfields. As LLMs become increasingly integrated into computing education, understanding how their use varies across technical and pedagogical contexts is essential for designing ef
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Dual-process theory and decision-making in large language models#1078447
- A Comprehensive Survey of Prompt Engineering Techniques in Large Language Models#455566
- LangChoiceBench: Measuring and Explaining Programming-Language Choice in LLMs#432595
- Rocks, Rabbits, and Computers: Large Language Models Do Not Adjudicate (Relevant Forms of) Nativism and Empiricism#695338
- Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm#16626
Record · ID 1156093
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive