18 citations · 81 across the 30 of their papers we have counts for
9 papers · 1 filter
Towards Breaking the Learning System Wall Using Multimodal Tutoring Transcriptions
Danielle R. Thomas, Marie Cynthia Abijuru Kamikazi, Ashish Gurung +5
Past research using log data has faced the "learning system wall," whereby few methods exist for generalizing models of student learning across platforms. Increasingly, online lear…
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…
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…
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…
Measurement of dijet transverse momentum imbalance and azimuthal acoplanarity in + collisions at GeV with the sPHENIX detector
sPHENIX Collaboration, M. I. Abdulhamid, U. Acharya +326
This Letter reports on measurements of dijet transverse momentum () imbalance and azimuthal acoplanarity in proton-proton collisions at ~GeV, using da…
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…
Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems
Qianru Lyu, Conrad Borchers, Meng Xia +4
Past research has defined a general process for the data-driven redesign of educational technologies and has shown that in carefully-selected instances, this process can help make…
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…
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…