collaborators

10 papers

cs.HC2026

Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?

Conrad Borchers, Valdemar Švábenský, Sandesh K. Kafle +2

Instructional alignment, the match between intended cognition and enacted activity, is central to effective instruction but hard to operationalize at scale. We examine alignment in…

cs.CY2026

Who Decides in AI-Mediated Learning? The Agency Allocation Framework

Conrad Borchers, Olga Viberg, René F. Kizilcec

As AI-mediated learning systems increasingly shape how learners plan, make decisions, and progress through education, learner agency is becoming both more consequential and harder…

cs.CL2026

Large Language Models as Students Who Think Aloud: Overly Coherent, Verbose, and Confident

Conrad Borchers, Jill-Jênn Vie, Roger Azevedo

Large language models (LLMs) are increasingly embedded in AI-based tutoring systems. Can they faithfully model novice reasoning and metacognitive judgments? Existing evaluations em…

cs.AI2026

Physiological and Semantic Patterns in Medical Teams Using an Intelligent Tutoring System

Xiaoshan Huang, Conrad Borchers, Jiayi Zhang +1

Effective collaboration requires teams to manage complex cognitive and emotional states through Socially Shared Regulation of Learning (SSRL). Physiological synchrony (i.e., longit…

cs.CL2026

Understanding Teacher Revisions of Large Language Model-Generated Feedback

Conrad Borchers, Luiz Rodrigues, Newarney Torrezão da Costa +2

Large language models (LLMs) increasingly generate formative feedback for students, yet little is known about how teachers revise this feedback before it reaches learners. Teachers…

cs.CL2026

Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding

Conrad Borchers, Jiayi Zhang, Ashish Gurung

Adaptive scaffolding enhances learning, yet the field lacks robust methods for measuring it within authentic tutoring dialogue. This gap has become more pressing with the rise of r…