Generative Large Language Models for Knowledge Representation: A Systematic Review of Concept Map Generation
Fuente:
arXiv
Saved in:
| Main Author: | Zhai, Xiaoming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Transforming Teachers' Roles and Agencies in the Era of Generative AI: Perceptions, Acceptance, Knowledge, and Practices
by: Zhai, Xiaoming
Published: (2024)
by: Zhai, Xiaoming
Published: (2024)
Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
by: Yang, Yaxuan, et al.
Published: (2025)
by: Yang, Yaxuan, et al.
Published: (2025)
Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review
by: Latif, Ehsan, et al.
Published: (2024)
by: Latif, Ehsan, et al.
Published: (2024)
Advancing Education through Tutoring Systems: A Systematic Literature Review
by: Liu, Vincent, et al.
Published: (2025)
by: Liu, Vincent, et al.
Published: (2025)
Generative AI User Experience: Developing Human--AI Epistemic Partnership
by: Zhai, Xiaoming
Published: (2026)
by: Zhai, Xiaoming
Published: (2026)
AI and Machine Learning for Next Generation Science Assessments
by: Zhai, Xiaoming
Published: (2024)
by: Zhai, Xiaoming
Published: (2024)
A Systematic Review of Knowledge Tracing and Large Language Models in Education: Opportunities, Issues, and Future Research
by: Cho, Yongwan, et al.
Published: (2024)
by: Cho, Yongwan, et al.
Published: (2024)
Large Language Models in the Data Science Lifecycle: A Systematic Mapping Study
by: Chintakunta, Sai Sanjna, et al.
Published: (2025)
by: Chintakunta, Sai Sanjna, et al.
Published: (2025)
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
by: Bewersdorff, Arne, et al.
Published: (2024)
by: Bewersdorff, Arne, et al.
Published: (2024)
Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings
by: Bewersdorff, Arne, et al.
Published: (2026)
by: Bewersdorff, Arne, et al.
Published: (2026)
Developing a Multi-Agent System to Generate Next Generation Science Assessments with Evidence-Centered Design
by: Yang, Yaxuan, et al.
Published: (2026)
by: Yang, Yaxuan, et al.
Published: (2026)
Generative AI as a Design Variable: An Evidence-Centered Framework for Principled Governance in STEM Assessment
by: Gao, Yizhu, et al.
Published: (2026)
by: Gao, Yizhu, et al.
Published: (2026)
Large Language Model for Mental Health: A Systematic Review
by: Guo, Zhijun, et al.
Published: (2024)
by: Guo, Zhijun, et al.
Published: (2024)
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency
by: Liu, Yiran, et al.
Published: (2024)
by: Liu, Yiran, et al.
Published: (2024)
Understanding University Students' Use of Generative AI: The Roles of Demographics and Personality Traits
by: Deng, Newnew, et al.
Published: (2025)
by: Deng, Newnew, et al.
Published: (2025)
Science Literacy: Generative AI as Enabler of Coherence in the Teaching, Learning, and Assessment of Scientific Knowledge and Reasoning
by: Zhai, Xiaoming, et al.
Published: (2026)
by: Zhai, Xiaoming, et al.
Published: (2026)
The Ethics of ChatGPT in Medicine and Healthcare: A Systematic Review on Large Language Models (LLMs)
by: Haltaufderheide, Joschka, et al.
Published: (2024)
by: Haltaufderheide, Joschka, et al.
Published: (2024)
PICKT: Practical Interlinked Concept Knowledge Tracing for Personalized Learning using Knowledge Map Concept Relations
by: Lee, Wonbeen, et al.
Published: (2025)
by: Lee, Wonbeen, et al.
Published: (2025)
Examining GPT's Capability to Generate and Map Course Concepts and Their Relationship
by: Yang, Tianyuan, et al.
Published: (2025)
by: Yang, Tianyuan, et al.
Published: (2025)
A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks
by: Sarıtaş, Karahan, et al.
Published: (2025)
by: Sarıtaş, Karahan, et al.
Published: (2025)
GoCoMA: Hyperbolic Multimodal Representation Fusion for Large Language Model-Generated Code Attribution
by: Choudhury, Nitin, et al.
Published: (2026)
by: Choudhury, Nitin, et al.
Published: (2026)
Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors
by: Scaria, Nicy, et al.
Published: (2025)
by: Scaria, Nicy, et al.
Published: (2025)
Charting the Future of AI-supported Science Education: A Human-Centered Vision
by: Zhai, Xiaoming, et al.
Published: (2026)
by: Zhai, Xiaoming, et al.
Published: (2026)
The World of Generative AI: Deepfakes and Large Language Models
by: Mitra, Alakananda, et al.
Published: (2024)
by: Mitra, Alakananda, et al.
Published: (2024)
Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
by: Marquez-Carpintero, Luis, et al.
Published: (2025)
by: Marquez-Carpintero, Luis, et al.
Published: (2025)
AI Safety in Generative AI Large Language Models: A Survey
by: Chua, Jaymari, et al.
Published: (2024)
by: Chua, Jaymari, et al.
Published: (2024)
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
by: Hagendorff, Thilo
Published: (2024)
by: Hagendorff, Thilo
Published: (2024)
Transforming Science Learning Materials in the Era of Artificial Intelligence
by: Zhai, Xiaoming, et al.
Published: (2026)
by: Zhai, Xiaoming, et al.
Published: (2026)
The Landscape of AI in Science Education: What is Changing and How to Respond
by: Zhai, Xiaoming, et al.
Published: (2026)
by: Zhai, Xiaoming, et al.
Published: (2026)
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
by: Huang, Yutan, et al.
Published: (2025)
by: Huang, Yutan, et al.
Published: (2025)
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning
by: Lee, Gyeong-Geon, et al.
Published: (2024)
by: Lee, Gyeong-Geon, et al.
Published: (2024)
AI Gender Bias, Disparities, and Fairness: Does Training Data Matter?
by: Latif, Ehsan, et al.
Published: (2023)
by: Latif, Ehsan, et al.
Published: (2023)
Validating an Instrument for Teachers' Acceptance of Artificial Intelligence in Education
by: Guo, Shuchen, et al.
Published: (2024)
by: Guo, Shuchen, et al.
Published: (2024)
Understanding Teacher Revisions of Large Language Model-Generated Feedback
by: Borchers, Conrad, et al.
Published: (2026)
by: Borchers, Conrad, et al.
Published: (2026)
Dual Use Concerns of Generative AI and Large Language Models
by: Grinbaum, Alexei, et al.
Published: (2023)
by: Grinbaum, Alexei, et al.
Published: (2023)
A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)
by: Zhang, Xulang, et al.
Published: (2025)
Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models
by: Ahnert, Georg, et al.
Published: (2025)
by: Ahnert, Georg, et al.
Published: (2025)
AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2025)
by: Jiao, Junfeng, et al.
Published: (2025)
Ruled by the Representation Space: On the University's Embrace of Large Language Models
by: Schwerzmann, Katia
Published: (2025)
by: Schwerzmann, Katia
Published: (2025)
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs
by: Abdelmagied, Mohamed, et al.
Published: (2025)
by: Abdelmagied, Mohamed, et al.
Published: (2025)
Similar Items
-
Transforming Teachers' Roles and Agencies in the Era of Generative AI: Perceptions, Acceptance, Knowledge, and Practices
by: Zhai, Xiaoming
Published: (2024) -
Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
by: Yang, Yaxuan, et al.
Published: (2025) -
Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review
by: Latif, Ehsan, et al.
Published: (2024) -
Advancing Education through Tutoring Systems: A Systematic Literature Review
by: Liu, Vincent, et al.
Published: (2025) -
Generative AI User Experience: Developing Human--AI Epistemic Partnership
by: Zhai, Xiaoming
Published: (2026)