Cover Image

EduAgent: Generative Student Agents in Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Songlin, Zhang, Xinyu, Qin, Lianhui
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Computation and Language Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation
by: Xu, Songlin, et al.
Published: (2025)

EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
by: Qiu, Jiahao, et al.
Published: (2025)

Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce
by: Shao, Yijia, et al.
Published: (2025)

From Measurement to Expertise: Empathetic Expert Adapters for Context-Based Empathy in Conversational AI Agents
by: Shayegani, Erfan, et al.
Published: (2025)

Cognitive Exoskeleton: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback
by: Xu, Songlin, et al.
Published: (2025)

Properties and Challenges of LLM-Generated Explanations
by: Kunz, Jenny, et al.
Published: (2024)

AutoGLM: Autonomous Foundation Agents for GUIs
by: Liu, Xiao, et al.
Published: (2024)

An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
by: A, Vimaleswar, et al.
Published: (2025)

Beyond Accuracy: Rethinking Hallucination and Regulatory Response in Generative AI
by: Li, Zihao, et al.
Published: (2025)

ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios
by: Phutane, Mahika, et al.
Published: (2025)

"They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations
by: Dammu, Preetam Prabhu Srikar, et al.
Published: (2024)

Agent Laboratory: Using LLM Agents as Research Assistants
by: Schmidgall, Samuel, et al.
Published: (2025)

The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
by: Si, Chenglei, et al.
Published: (2025)

The Odyssey of the Fittest: Can Agents Survive and Still Be Good?
by: Waldner, Dylan, et al.
Published: (2025)

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
by: Si, Chenglei, et al.
Published: (2024)

DigiData: Training and Evaluating General-Purpose Mobile Control Agents
by: Sun, Yuxuan, et al.
Published: (2025)

Deterministic AI Agent Personality Expression through Standard Psychological Diagnostics
by: Kruijssen, J. M. Diederik, et al.
Published: (2025)

Bringing Generative AI to Adaptive Learning in Education
by: Li, Hang, et al.
Published: (2024)

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance
by: Xu, Jia, et al.
Published: (2025)

Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning
by: Scaria, Nicy, et al.
Published: (2026)

ProgressGym: Alignment with a Millennium of Moral Progress
by: Qiu, Tianyi, et al.
Published: (2024)

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
by: Xi, Sarina, et al.
Published: (2025)

Multi-Agent Comedy Club: Investigating Community Discussion Effects on LLM Humor Generation
by: Hong, Shiwei, et al.
Published: (2026)

AI-Generated Slides: Are They Good? Can Students Tell?
by: Leinonen, Juho, et al.
Published: (2026)

LLM Agents for Education: Advances and Applications
by: Chu, Zhendong, et al.
Published: (2025)

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
by: Chiu, Yu Ying, et al.
Published: (2025)

LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations
by: Ziche, Clara, et al.
Published: (2024)

What are human values, and how do we align AI to them?
by: Klingefjord, Oliver, et al.
Published: (2024)

The Good, the Bad, and the Ugly: The Role of AI Quality Disclosure in Lie Detection
by: Bhattacharya, Haimanti, et al.
Published: (2024)

Large Language Models Can Infer Personality from Free-Form User Interactions
by: Peters, Heinrich, et al.
Published: (2024)

Prediction-Powered Ranking of Large Language Models
by: Chatzi, Ivi, et al.
Published: (2024)

Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial
by: Chomutare, Taridzo, et al.
Published: (2024)

Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
by: Wolfe, Robert, et al.
Published: (2024)

Can Large Language Models Unlock Novel Scientific Research Ideas?
by: Kumar, Sandeep, et al.
Published: (2024)

LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning
by: Wasi, Azmine Toushik, et al.
Published: (2024)

The opportunities and risks of large language models in mental health
by: Lawrence, Hannah R., et al.
Published: (2024)

Implicit Personalization in Language Models: A Systematic Study
by: Jin, Zhijing, et al.
Published: (2024)

Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate
by: Ngueajio, Mikel K., et al.
Published: (2025)

AmarDoctor: An AI-Driven, Multilingual, Voice-Interactive Digital Health Application for Primary Care Triage and Patient Management to Bridge the Digital Health Divide for Bengali Speakers
by: Nahar, Nazmun, et al.
Published: (2025)

Sociodemographic Prompting is Not Yet an Effective Approach for Simulating Subjective Judgments with LLMs
by: Sun, Huaman, et al.
Published: (2023)