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20232026
most citedCombining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support

18 citations · 47 across the 27 of their papers we have counts for

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13 papers · 1 filter

cs.CY2026

Framing the 5% Problem: Teachers' Perspectives on Persistence in Educational Technology

Conrad Borchers

Adaptive K-12 mathematics platforms often show low sustained student use, a pattern termed the 5% problem. Although prior work has developed analytics and interventions to identify…

cs.CY2026

AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice

Danielle R. Thomas, Marie Cynthia Abijuru Kamikazi, Clara Brandt +2

There exist numerous tutor training platforms. However, few provide AI-driven training and evaluation for human tutors based on real-life performance. We present an AI-driven syste…

cs.CY2026

Self-Efficacy and Favorability Shape Learning from Tutoring Systems and Paper Practice

Xinfei Cen, Vincent Aleven, Kenneth R. Koedinger +2

Motivational factors such as self-efficacy and how favorably students feel toward practice play a crucial role in shaping learning, particularly in technology-supported environment…

cs.CY2026

Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education

Danielle R. Thomas, Conrad Borchers, Kirk P. Vanacore +2

Generative Artificial Intelligence (GenAI) is now widespread in education, yet the efficacy of GenAI systems remains constrained by the quality and interpretation of the labeled da…

cs.CY2026

Sticky Help, Bounded Effects: Session-by-Session Analytics of Teacher Interventions in K-12 Classrooms

Qiao Jin, Conrad Borchers, Ashish Gurung +6

Teachers' in-the-moment support is a limited resource in technology-supported classrooms, and teachers must decide whom to help and when during ongoing student work. However, less…

cs.CY2026

Brief but Impactful: How Human Tutoring Interactions Shape Engagement in Online Learning

Conrad Borchers, Ashish Gurung, Qinyi Liu +3

Learning analytics can guide human tutors to efficiently address motivational barriers to learning that AI systems struggle to support. Students become more engaged when they recei…