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

18 citations · 81 across the 30 of their papers we have counts for

collaborators
Showing cs.HCShow all

7 papers · 1 filter

cs.HC2026

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…

cs.HC2025

Detecting LLM-Generated Short Answers and Effects on Learner Performance

Shambhavi Bhushan, Danielle R Thomas, Conrad Borchers +5

The increasing availability of large language models (LLMs) has raised concerns about their potential misuse in online learning. While tools for detecting LLM-generated text exist…

cs.HC2025

Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education

Conrad Borchers, Xiaoyi Tian, Kristy Elizabeth Boyer +1

Project-based learning plays a crucial role in computing education. However, its open-ended nature makes tracking project development and assessing success challenging. We investig…

cs.HC2025

VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections

Eason Chen, Xinyi Tang, Aprille Xi +5

Hybrid tutoring, where a human tutor supports multiple students in learning with educational technology, is an increasingly common application to deliver high-impact tutoring at sc…

cs.HC202418 cited

Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support

Devika Venugopalan, Ziwen Yan, Conrad Borchers +2

Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student aca…

cs.HC202413 cited

How Learner Control and Explainable Learning Analytics on Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice

Conrad Borchers, Jeroen Ooge, Cindy Peng +1

Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely e…