activity
20232026
most citedClassroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation

12 citations · 18 across the 7 of their papers we have counts for

collaborators

8 papers

cs.HC2026

TutorLoop: Regulating Student Learning Behaviors via Sensor-in-the-Loop Generative Feedback

Songlin Xu, Xinyu Zhang

We present TutorLoop, a sensor-in-the-loop system that regulates student learning behaviors by delivering adaptive feedback based on real-time cognitive states. Unlike prior large…

cs.CL2026

Post-training makes large language models less human-like

Marcel Binz, Elif Akata, Abdullah Almaatouq +76

Large language models (LLMs) are increasingly used as surrogates for human participants, but it remains unclear which models best capture human behavior and why. To address this, w…

cs.HC2025

Cognitive Exoskeleton: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback

Songlin Xu, Xinyu Zhang

In this paper, we introduce an AI-mediated framework that can provide intelligent feedback to augment human cognition. Specifically, we leverage deep reinforcement learning (DRL) t…

cs.HC2025★ 12 cited

Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation

Songlin Xu, Hao-Ning Wen, Hongyi Pan +3

Student simulation supports educators to improve teaching by interacting with virtual students. However, most existing approaches ignore the modulation effects of course materials…

cs.CY2024★ 2 cited

EduAgent: Generative Student Agents in Learning

Songlin Xu, Xinyu Zhang, Lianhui Qin

Student simulation in online education is important to address dynamic learning behaviors of students with diverse backgrounds. Existing simulation models based on deep learning us…

cs.HC2023

Peer attention enhances student learning

Songlin Xu, Dongyin Hu, Ru Wang +1

Human visual attention is susceptible to social influences. In education, peer effects impact student learning, but their precise role in modulating attention remains unclear. Our…

cs.AI2023★ 3 cited

Leveraging generative artificial intelligence to simulate student learning behavior

Songlin Xu, Xinyu Zhang

Student simulation presents a transformative approach to enhance learning outcomes, advance educational research, and ultimately shape the future of effective pedagogy. We explore…

cs.HC2023★ 1 cited

Oculomotor trajectory mapping on body as an effective intervention to enhance attention

Songlin Xu, Xinyu Zhang

Increasing individuals' awareness of their own body signals can lead to improved interoception, enabling the brain to estimate current body states more accurately and in a timely m…