Enregistré dans:
| Auteur principal: | Zhai, Xiaoming |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2509.14554 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Transforming Teachers' Roles and Agencies in the Era of Generative AI: Perceptions, Acceptance, Knowledge, and Practices
par: Zhai, Xiaoming
Publié: (2024)
par: Zhai, Xiaoming
Publié: (2024)
Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
par: Yang, Yaxuan, et autres
Publié: (2025)
par: Yang, Yaxuan, et autres
Publié: (2025)
Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review
par: Latif, Ehsan, et autres
Publié: (2024)
par: Latif, Ehsan, et autres
Publié: (2024)
Advancing Education through Tutoring Systems: A Systematic Literature Review
par: Liu, Vincent, et autres
Publié: (2025)
par: Liu, Vincent, et autres
Publié: (2025)
Generative AI User Experience: Developing Human--AI Epistemic Partnership
par: Zhai, Xiaoming
Publié: (2026)
par: Zhai, Xiaoming
Publié: (2026)
AI and Machine Learning for Next Generation Science Assessments
par: Zhai, Xiaoming
Publié: (2024)
par: Zhai, Xiaoming
Publié: (2024)
A Systematic Review of Knowledge Tracing and Large Language Models in Education: Opportunities, Issues, and Future Research
par: Cho, Yongwan, et autres
Publié: (2024)
par: Cho, Yongwan, et autres
Publié: (2024)
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
par: Bewersdorff, Arne, et autres
Publié: (2024)
par: Bewersdorff, Arne, et autres
Publié: (2024)
Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings
par: Bewersdorff, Arne, et autres
Publié: (2026)
par: Bewersdorff, Arne, et autres
Publié: (2026)
Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study
par: Chintakunta, Sai Sanjna, et autres
Publié: (2025)
par: Chintakunta, Sai Sanjna, et autres
Publié: (2025)
Developing a Multi-Agent System to Generate Next Generation Science Assessments with Evidence-Centered Design
par: Yang, Yaxuan, et autres
Publié: (2026)
par: Yang, Yaxuan, et autres
Publié: (2026)
Generative AI as a Design Variable: An Evidence-Centered Framework for Principled Governance in STEM Assessment
par: Gao, Yizhu, et autres
Publié: (2026)
par: Gao, Yizhu, et autres
Publié: (2026)
Understanding University Students' Use of Generative AI: The Roles of Demographics and Personality Traits
par: Deng, Newnew, et autres
Publié: (2025)
par: Deng, Newnew, et autres
Publié: (2025)
Large Language Model for Mental Health: A Systematic Review
par: Guo, Zhijun, et autres
Publié: (2024)
par: Guo, Zhijun, et autres
Publié: (2024)
Science Literacy: Generative AI as Enabler of Coherence in the Teaching, Learning, and Assessment of Scientific Knowledge and Reasoning
par: Zhai, Xiaoming, et autres
Publié: (2026)
par: Zhai, Xiaoming, et autres
Publié: (2026)
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
par: Liu, Yiran, et autres
Publié: (2024)
par: Liu, Yiran, et autres
Publié: (2024)
PICKT: Practical Interlinked Concept Knowledge Tracing for Personalized Learning using Knowledge Map Concept Relations
par: Lee, Wonbeen, et autres
Publié: (2025)
par: Lee, Wonbeen, et autres
Publié: (2025)
Examining GPT's Capability to Generate and Map Course Concepts and Their Relationship
par: Yang, Tianyuan, et autres
Publié: (2025)
par: Yang, Tianyuan, et autres
Publié: (2025)
A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks
par: Sarıtaş, Karahan, et autres
Publié: (2025)
par: Sarıtaş, Karahan, et autres
Publié: (2025)
Charting the Future of AI-supported Science Education: A Human-Centered Vision
par: Zhai, Xiaoming, et autres
Publié: (2026)
par: Zhai, Xiaoming, et autres
Publié: (2026)
The Ethics of ChatGPT in Medicine and Healthcare: A Systematic Review on Large Language Models (LLMs)
par: Haltaufderheide, Joschka, et autres
Publié: (2024)
par: Haltaufderheide, Joschka, et autres
Publié: (2024)
Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors
par: Scaria, Nicy, et autres
Publié: (2025)
par: Scaria, Nicy, et autres
Publié: (2025)
GoCoMA: Hyperbolic Multimodal Representation Fusion for Large Language Model-Generated Code Attribution
par: Choudhury, Nitin, et autres
Publié: (2026)
par: Choudhury, Nitin, et autres
Publié: (2026)
Transforming Science Learning Materials in the Era of Artificial Intelligence
par: Zhai, Xiaoming, et autres
Publié: (2026)
par: Zhai, Xiaoming, et autres
Publié: (2026)
The Landscape of AI in Science Education: What is Changing and How to Respond
par: Zhai, Xiaoming, et autres
Publié: (2026)
par: Zhai, Xiaoming, et autres
Publié: (2026)
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning
par: Lee, Gyeong-Geon, et autres
Publié: (2024)
par: Lee, Gyeong-Geon, et autres
Publié: (2024)
AI Gender Bias, Disparities, and Fairness: Does Training Data Matter?
par: Latif, Ehsan, et autres
Publié: (2023)
par: Latif, Ehsan, et autres
Publié: (2023)
Validating an Instrument for Teachers' Acceptance of Artificial Intelligence in Education
par: Guo, Shuchen, et autres
Publié: (2024)
par: Guo, Shuchen, et autres
Publié: (2024)
Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
par: Marquez-Carpintero, Luis, et autres
Publié: (2025)
par: Marquez-Carpintero, Luis, et autres
Publié: (2025)
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
par: Hagendorff, Thilo
Publié: (2024)
par: Hagendorff, Thilo
Publié: (2024)
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
par: Huang, Yutan, et autres
Publié: (2025)
par: Huang, Yutan, et autres
Publié: (2025)
The World of Generative AI: Deepfakes and Large Language Models
par: Mitra, Alakananda, et autres
Publié: (2024)
par: Mitra, Alakananda, et autres
Publié: (2024)
AI Safety in Generative AI Large Language Models: A Survey
par: Chua, Jaymari, et autres
Publié: (2024)
par: Chua, Jaymari, et autres
Publié: (2024)
A Systematic Analysis of Biases in Large Language Models
par: Zhang, Xulang, et autres
Publié: (2025)
par: Zhang, Xulang, et autres
Publié: (2025)
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs
par: Abdelmagied, Mohamed, et autres
Publié: (2025)
par: Abdelmagied, Mohamed, et autres
Publié: (2025)
Hypothesis Generation with Large Language Models
par: Zhou, Yangqiaoyu, et autres
Publié: (2024)
par: Zhou, Yangqiaoyu, et autres
Publié: (2024)
Understanding Teacher Revisions of Large Language Model-Generated Feedback
par: Borchers, Conrad, et autres
Publié: (2026)
par: Borchers, Conrad, et autres
Publié: (2026)
Dual Use Concerns of Generative AI and Large Language Models
par: Grinbaum, Alexei, et autres
Publié: (2023)
par: Grinbaum, Alexei, et autres
Publié: (2023)
Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models
par: Ahnert, Georg, et autres
Publié: (2025)
par: Ahnert, Georg, et autres
Publié: (2025)
AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Models
par: Jiao, Junfeng, et autres
Publié: (2025)
par: Jiao, Junfeng, et autres
Publié: (2025)
Documents similaires
-
Transforming Teachers' Roles and Agencies in the Era of Generative AI: Perceptions, Acceptance, Knowledge, and Practices
par: Zhai, Xiaoming
Publié: (2024) -
Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
par: Yang, Yaxuan, et autres
Publié: (2025) -
Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review
par: Latif, Ehsan, et autres
Publié: (2024) -
Advancing Education through Tutoring Systems: A Systematic Literature Review
par: Liu, Vincent, et autres
Publié: (2025) -
Generative AI User Experience: Developing Human--AI Epistemic Partnership
par: Zhai, Xiaoming
Publié: (2026)