Using Benchmarking Infrastructure to Evaluate LLM Performance on CS Concept Inventories: Challenges, Opportunities, and Critiques
Author:
Affiliation:
1. University of Washington, United States of America
2. University of Washington, USA
3. Stanford University, USA
4. Stanford University, United States of America
Funder
Stanford Institute for Human-Centered Artificial Intelligence
OpenAI
Stanford Accelerator for Learning
McCoy Family Center for Ethics in Society
Center for Research on Foundation Models
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3632620.3671097
Reference111 articles.
1. Vibhor Agarwal Nakul Thureja Madhav Krishan Garg Sahiti Dharmavaram Meghna and Dhruv Kumar. 2024. “Which LLM should I use?”: Evaluating LLMs for tasks performed by Undergraduate Computer Science Students in India. (Jan. 2024). arxiv:2402.01687 [cs.CY]
2. CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs
3. Taking Stock of Concept Inventories in Computing Education: A Systematic Literature Review
4. Mary J Allen and Wendy M Yen. 2001. Introduction to Measurement Theory. Waveland Press.
5. Stupid Tutoring Systems, Intelligent Humans
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