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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 451 - 480 of 736
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu and Zhenya Huang. (05/2025). arXiv. http://arxiv.org/pdf/2505.20642v1
Automated evaluation of children's speech fluency for low-resource languages
Bowen Zhang, Nur Afiqah Abdul Latiff, Justin Kan, Rong Tong, Donny Soh, Xiaoxiao Miao, Ian McLoughlin. (05/2025). arXiv. http://arxiv.org/pdf/2505.19671v1
Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework
Jingyang Peng, Wenyuan Shen, Jiarui Rao, Jionghao Lin. (05/2025). arXiv. http://arxiv.org/pdf/2505.12718v1
Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use
Xinyi Lu, Aditya Mahesh, Zejia Shen, Mitchell Dudley, Larissa Sano, Xu Wang. (05/2025). arXiv. http://arxiv.org/pdf/2505.15596v1
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring
Jiamin Su, Yibo Yan, Zhuoran Gao, Han Zhang, Xiang Liu, Xuming Hu. (05/2025). arXiv. http://arxiv.org/pdf/2505.13965v1
Towards Robust Evaluation of STEM Education: Leveraging MLLMs in Project-Based Learning
Yanhao Jia, Xinyi Wu, Qinglin Zhang, Yiran Qin, Luwei Xiao, Shuai Zhao. (05/2025). arXiv. http://arxiv.org/pdf/2505.17050v1
Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach
Ruikun Hou, Babette BŸhler, Tim FŸtterer, Efe Bozkir, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci. (05/2025). arXiv. http://arxiv.org/pdf/2505.07902v1
VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections
Eason Chen, Xinyi Tang, Aprille Xi, Chenyu Lin, Conrad Borchers, Jionghao Lin, Shivang Gupta, Kenneth R Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.07736v2
From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation
Jie Cao, Chloe Qianhui Zhao, Xian Chen, Shuman Wang, Christian Schunn, Kenneth R. Koedinger, Jionghao Lin. (05/2025). arXiv. http://arxiv.org/pdf/2505.04869v1
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example
Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying Jui Tseng, John Stamper, Ken Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.08083v1
From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Models
Yongan Yu, Alexandre Krantz, Nikki G. Lobczowski. (05/2025). arXiv. http://arxiv.org/pdf/2505.11899v1
VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback
Eason Chen, Chenyu Lin, Yu-Kai Huang, Xinyi Tang, Aprille Xi, Jionghao Lin, Kenneth Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.06676v1
KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
Yumou Wei, Paulo Carvalho, John Stamper. (05/2025). arXiv. http://arxiv.org/pdf/2505.06469v1
When the prompting stops: exploring teachers' work around the educational frailties of generative AI tools
Neil Selwyn, Marita Ljungqvist, Anders Sonesson. (04/2025). Learning, Media and Technology. https://www.tandfonline.com/doi/full/10.1080/17439884.2025.2537959#abstract
Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students
Audrey Zhang, Yifei Gao, Wannapon Suraworachet, Tanya Nazaretsky, Mutlu Cukurova. (04/2025). arXiv. https://arxiv.org/pdf/2504.10961v1
Connecting Feedback to Choice: Understanding Educator Preferences in GenAI vs. Human-Created Lesson Plans in K-12 Education - A Comparative Analysis
Shawon Sarkar, Min Sun, Alex Liu, Zewei Tian, Lief Esbenshade, Zachary Zhang, Jian He. (04/2025). arXiv. https://arxiv.org/pdf/2504.05449v1
EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework
Yao Shi, Rongkeng Liang, Yong Xu. (04/2025). arXiv. https://arxiv.org/pdf/2504.14928v1
EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design
Xueqiao Zhang, Chao Zhang, Jianwen Sun, Jun Xiao, Yi Yang, Yawei Luo. (04/2025). arXiv. https://arxiv.org/pdf/2504.05370v1
The Usage of AI in Teaching and Students' Creativity: The Mediating Role of Learning Engagement and the Moderating Role of AI Literacy
Min Zhou, Song Peng. (04/2025). Behavioral Sciences. https://www.mdpi.com/2076-328X/15/5/587
Supporting Students' Reading and Cognition with AI
Yue Fu, Alexis Hiniker. (04/2025). arXiv. https://arxiv.org/pdf/2504.13900v1
STRIVE: A Think & Improve Approach with Iterative Refinement for Enhancing Question Quality Estimation
Aniket Deroy, Subhankar Maity. (04/2025). arXiv. https://arxiv.org/pdf/2504.05693v1
Single-Agent vs. Multi-Agent LLM Strategies for Automated Student Reflection Assessment
Gen Li, Li Chen, Cheng Tang, Valdemar Svabensky, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada. (04/2025). arXiv. https://arxiv.org/pdf/2504.05716v1
Inclusive Education with AI: Supporting Special Needs and Tackling Language Barriers
Ricardo Fitas. (04/2025). arXiv. https://arxiv.org/pdf/2504.14120v1
NotebookLM: An LLM with RAG for active learning and collaborative tutoring
Eugenio Tufino. (04/2025). arXiv. https://arxiv.org/pdf/2504.09720v1
Evolution of AI in Education: Agentic Workflows
Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (04/2025). arXiv. https://arxiv.org/pdf/2504.20082v1
Assessing AI-Generated Questions' Alignment with Cognitive Frameworks in Educational Assessment
Antoun Yaacoub, Jerome Da-Rugna, Zainab Assaghir. (04/2025). arXiv. https://arxiv.org/pdf/2504.14232v1
Examining GPT's Capability to Generate and Map Course Concepts and Their Relationships
Tianyuan Yang, Baofeng Ren, Chenghao Gu, Tianjia He, Boxuan Ma, Shin'ichi Konomi. (04/2025). arXiv. https://arxiv.org/pdf/2504.08856v1
AI-University: An LLM-based platform for instructional alignment to scientific classrooms
Mostafa Faghih Shojaei, Rahul Gulati, Benjamin A. Jasperson, Shangshang Wang, Simone Cimolato, Dangli Cao, Willie Neiswanger, Krishna Garikipati. (04/2025). arXiv. https://arxiv.org/pdf/2504.08846v1
Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents
Manh Hung Nguyen, Victor-Alexandru Padurean, Alkis Gotovos, Sebastian Tschiatschek, Adish Singla. (04/2025). arXiv. https://arxiv.org/pdf/2504.07655v1
Beyond Tools: Generative AI as Epistemic Infrastructure in Education
Bodong Chen. (04/2025). arXiv. https://arxiv.org/pdf/2504.06928v1

