collaborators

6 papers

cs.HC2026

Simulating Learners' Task-Selection Strategies and System Constraints in Mastery Learning

Haley Noh, Aarna Chowdhary, Jeroen Ooge +2

Intelligent Tutoring Systems often grant learners shared control over skill and problem selection. This choice brings motivational and metacognitive benefits. At the same time, pas…

cs.CY2026

Push and Pull in Community College Cross-Enrollment: Remoteness, Articulation, and Student Mobility

Conrad Borchers, Robin Schmucker, Ashutosh Tiwari +1

Cross-enrollment across institutions can expand access to courses and support student progression. Still, little is known about how geographic constraints and institutional policie…

cs.LG2026

From Heuristics to Analytics: Forecasting Effort and Progress in Online Learning

Eric S. Qiu, Danielle R. Thomas, Boyuan Guo +2

Sustained effort is essential for realizing the benefits of intelligent tutoring systems (ITS), yet many learners disengage or underuse available practice time. We introduce engage…

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.CL2026

Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback

Yishan Du, Conrad Borchers, Mutlu Cukurova

As teachers increasingly turn to GenAI in their educational practice, we need robust methods to benchmark large language models (LLMs) for pedagogical purposes. This article presen…

cs.HC2026

Toward Trait-Aware Learning Analytics

Conrad Borchers, Hannah Deininger, Zachary A. Pardos

Learning analytics (LA) draws from the learning sciences to interpret learner behavior and inform system design. Yet, past personalization remains largely at the content or perform…