Image de couverture de livre

How Students Use AI Feedback Matters: Experimental Evidence on Physics Achievement and Autonomy

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dai, Xusheng, Wen, Zhaochun, Jiang, Jianxiao, Liu, Huiqin, Zhang, Yu
Format:	Preprint
Publié:	2025
Sujets:	Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Student Development Agent: Risk-free Simulation for Evaluating AIED Innovations
par: Jiang, Jianxiao, et autres
Publié: (2025)

Student-AI Interaction in an LLM-Empowered Learning Environment: A Cluster Analysis of Engagement Profiles
par: Hao, Zhanxin, et autres
Publié: (2025)

Which Type of Students can LLMs Act? Investigating Authentic Simulation with Graph-based Human-AI Collaborative System
par: Li, Haoxuan, et autres
Publié: (2025)

The Effect of Funding on Student Achievement: Evidence from District of Columbia, Virginia, and Maryland
par: Raabe, Adam, et autres
Publié: (2024)

Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
par: Liu, Liu, et autres
Publié: (2025)

That's Not the Feedback I Need! -- Student Engagement with GenAI Feedback in the Tutor Kai
par: Jacobs, Sven, et autres
Publié: (2025)

The Responsible Development of Automated Student Feedback with Generative AI
par: Lindsay, Euan D, et autres
Publié: (2023)

To Use or Not to Use: Investigating Student Perceptions of Faculty Generative AI Usage in Higher Education
par: Gao, Jie, et autres
Publié: (2026)

Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence
par: Oliveira, Eduardo Araujo, et autres
Publié: (2025)

The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?
par: Meyer, Jennifer, et autres
Publié: (2026)

Agentic AI: Autonomy, Accountability, and the Algorithmic Society
par: Mukherjee, Anirban, et autres
Publié: (2025)

Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?
par: Rekik, Islem
Publié: (2026)

Algorithmic Autonomy in Data-Driven AI
par: Wang, Ge, et autres
Publié: (2024)

Handling Students Dropouts in an LLM-driven Interactive Online Course Using Language Models
par: Wang, Yuanchun, et autres
Publié: (2025)

Not All Students Engage Alike: Multi-Institution Patterns in GenAI Tutor Use
par: Chen, Youjie, et autres
Publié: (2026)

From Black-Box Confidence to Measurable Trust in Clinical AI: A Framework for Evidence, Supervision, and Staged Autonomy
par: Zabolotnii, Serhii, et autres
Publié: (2026)

AI Empathy Erodes Cognitive Autonomy in Younger Users
par: Jiao, Junfeng, et autres
Publié: (2026)

Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study
par: Jacobs, Sven, et autres
Publié: (2025)

The Case for an Industrial Policy Approach to AI Sector of Pakistan for Growth and Autonomy
par: Hussain, Atif, et autres
Publié: (2024)

How Do Programming Students Use Generative AI?
par: Rahe, Christian, et autres
Publié: (2025)

Differentiating Student Feedbacks for Knowledge Tracing
par: Cui, Jiajun, et autres
Publié: (2022)

Understanding University Students' Use of Generative AI: The Roles of Demographics and Personality Traits
par: Deng, Newnew, et autres
Publié: (2025)

Memes, Markets, and Machines: The Evolution of On Chain Autonomy through Hyperstition
par: Yu, Jeffy
Publié: (2024)

Experimental Evidence That AI-Managed Workers Tolerate Lower Pay Without Demotivation
par: Dong, Mengchen, et autres
Publié: (2025)

Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy
par: Tang, Xiangru, et autres
Publié: (2024)

How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students
par: Pan, Echo Zexuan, et autres
Publié: (2026)

Stochastic, Dynamic, Fluid Autonomy in Agentic AI: Implications for Authorship, Inventorship, and Liability
par: Mukherjee, Anirban, et autres
Publié: (2025)

Teaching Students to Question the Machine: An AI Literacy Intervention Improves Students' Regulation of LLM Use in a Science Task
par: Clerc, O., et autres
Publié: (2026)

From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes
par: Gao, Xian, et autres
Publié: (2025)

Student's Use of Generative AI as a Support Tool in an Advanced Web Development Course
par: Alpizar-Chacon, Isaac, et autres
Publié: (2025)

Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
par: Pădurean, Victor-Alexandru, et autres
Publié: (2025)

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents
par: Yu, Jifan, et autres
Publié: (2024)

Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback
par: Gupta, Raj, et autres
Publié: (2025)

Intelligent Tutor: Leveraging ChatGPT and Microsoft Copilot Studio to Deliver a Generative AI Student Support and Feedback System within Teams
par: Chen, Wei-Yu
Publié: (2024)

When Autonomy Breaks: The Hidden Existential Risk of AI
par: Krook, Joshua
Publié: (2025)

Mental Models of Autonomy and Sentience Shape Reactions to AI
par: Pauketat, Janet V. T., et autres
Publié: (2025)

AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
par: Xu, Jiannan, et autres
Publié: (2025)

From Assistance to Autonomy -- A Researcher Study on the Potential of AI Support for Qualitative Data Analysis
par: Kirsten, Elisabeth, et autres
Publié: (2025)

How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment
par: Ashkinaze, Joshua, et autres
Publié: (2024)

AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
par: Wang, Zichong, et autres
Publié: (2025)