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cs.CY2026
Understanding Student Effort Using Response-Time Propensities During Problem Solving
Conrad Borchers, Lijin Zhang, Kexin Yang +2
Adaptive learning systems can produce substantial learning gains, yet many students engage for too brief or too superficial a period to benefit. A central obstacle is measuring eff…
cs.CY2025
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
Calvin Isley, Joshua Gilbert, Evangelos Kassos +9
While large language models (LLMs) challenge conventional methods of teaching and learning, they present an exciting opportunity to improve efficiency and scale high-quality instru…
cs.CY2025
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
Olawale Salaudeen, Anka Reuel, Ahmed Ahmed +6
While the capabilities and utility of AI systems have advanced, rigorous norms for evaluating these systems have lagged. Grand claims, such as models achieving general reasoning ca…