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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 601 - 630 of 854
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
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
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
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
Young Children's Anthropomorphism Of An Ai Chatbot: Brain Activation And The Role Of Parent Co-Presence
Kim, Pilyoung. (03/2025). arXiv. https://arxiv.org/abs/2512.02179
How Do Teachers Create Pedagogical Chatbots?: Current Practices and Challenges
Minju Yoo, Hyoungwook Jin, Juho Kim. (03/2025). arXiv. https://arxiv.org/pdf/2503.00967
LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports
Eduardo Davalos, Yike Zhang, Namrata Srivastaval, Jorge Alberto Salas, Sara McFadden, Sun-Joo Cho, Gautam Biswas, Amanda Goodwin. (03/2025). arXiv. https://arxiv.org/pdf/2503.02099
Evaluating LLMs for Automated Scoring in Formative Assessments
Pedro C. Mendon¬ça, Filipe Quintal, F¬ábio Mendon¬ça. (03/2025). Applied Sciences. https://doi.org/10.3390/app15052787?urlappend=%3Futm_source%3Dresearchgate.net%…
"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
Emma Harvey, Allison Koenecke, RenŽ F. Kizilcec. (02/2025). arXiv. https://arxiv.org/pdf/2502.14592v1
MindCraft: Revolutionizing Education through AI-Powered Personalized Learning and Mentorship for Rural India
Arihant Bardia, Aayush Agrawal. (02/2025). arXiv. https://www.arxiv.org/abs/2502.05826
Event Segmentation Applications In Large Language Model Enabled Automated Recall Assessments
Ryan A. Panela, Alexander J. Barnett, Morgan D. Barense, Bjornn Herrmann. (02/2025). arXiv. https://arxiv.org/pdf/2502.13349
Improve LLM-based Automatic Essay Scoring with Linguistic Features
Zhaoyi Joey Hou, Alejandro Ciuba, Xiang Lorraine Li. (02/2025). arXiv. https://arxiv.org/pdf/2502.09497
Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty*
Yoshee Jain, John Hollander, Amber He, Sunny Tang, Liang Zhang, John Sabatini. (02/2025). arXiv. https://arxiv.org/pdf/2502.17785
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models
Jiamin Su, Yibo Yan, Fangteng Fu, Han Zhang, Jingheng Ye, Xiang Liu, Jiahao Huo, Huiyu Zhou, Xuming Hu. (02/2025). arXiv. https://arxiv.org/pdf/2502.11916
Autograding Mathematical Induction Proofs with Natural Language Processing
Chenyan Zhao, Mariana Silva, Seth Poulsen. (02/2025). arXiv. http://arxiv.org/pdf/2406.10268v2
Position: LLMs Can be Good Tutors in Foreign Language Education
Jingheng Ye, Shen Wang, Deqing Zhou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen. (02/2025). arXiv. https://arxiv.org/pdf/2502.05467
Scaffolding Middle-School Mathematics Curricula With Large Language Models
Rizwaan Malik, Dorna Abdi, Rose Wang, Dorottya Demszky. (02/2025). British Journal of Educational Technology. https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.13571?af=R
SET-PAIRED: Designing for Parental Involvement in Learning with an AI-Assisted Educational Robot
Hui-Ru Ho, Nitigya Kargeti, Ziqi Liu, Bilge Mutlu. (02/2025). arXiv. https://arxiv.org/pdf/2502.17623
EdgeAIGuard: Agentic LLMs for Minor Protection in Digital Spaces
Ghulam Mujtaba, Sunder Ali Khowaja, Kapal Dev. (02/2025). arXiv. https://arxiv.org/pdf/2503.00092
The Advancement of Personalized Learning Potentially Accelerated by Generative AI
Yuang Wei, Yuan-Hao Jiang, Jiayi Liu, Changyong Qi, Linzhao Jia, Rui Jia. (02/2025). arXiv. http://arxiv.org/pdf/2412.00691v2
Co-designing Large Language Model Tools for Project-Based Learning with K-12 Educators
Prerna Ravi, John Masla, Gisella Kakoti, Grace C. Lin, Emma Anderson, Matt Taylor, Anastasia K. Ostrowski, Cynthia Breazeal, Eric Klopfer, Hal Abelson. (02/2025). arXiv. https://arxiv.org/pdf/2502.09799
The Responsible Development of Automated Student Feedback with Generative AI
Euan D Lindsay, Mike Zhang, Aditya Johri, Johannes Bjerva. (02/2025). arXiv. http://arxiv.org/pdf/2308.15334v3
Towards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols
Kathrin Sessler, Arne Bewersdorff, Claudia Nerdel, Enkelejda Kasneci. (02/2025). arXiv. https://arxiv.org/pdf/2502.12842
Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring
Xuansheng Wu, Padmaja Pravin Saraf, Gyeonggeon Lee, Ehsan Latif, Ninghao Liu, Xiaoming Zhai. (02/2025). arXiv. http://arxiv.org/pdf/2407.18328v2
VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output
Eason Chen, Chenyu Lin, Xinyi Tang, Aprille Xi, Canwen Wang, Jionghao Lin, Kenneth R. Koedinger. (02/2025). arXiv. https://arxiv.org/pdf/2502.04103
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability
Stephanie L. Day, Jacapo Cirica, Steven R. Clapp, Veronika Penkova, Amy E. Giroux, Abbey Banta, Catherine Bordeau, Poojitha Mutteneni, Ben D. Sawyer. (01/2025). arXiv. http://arxiv.org/pdf/2501.09158v1
A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education
Calvin Yeung, Jeff Yu, King Chau Cheung, Tat Wing Wong, Chun Man Chan, Kin Chi Wong, Keisuke Fujii. (01/2025). arXiv. https://arxiv.org/pdf/2501.14305
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Ga‘l Gendron, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu. (01/2025). arXiv. http://arxiv.org/pdf/2309.10444v5
Auto-Evaluation: A Critical Measure in Driving Improvements in Quality and Safety of AI-Generated Lesson Resources
Hannah-Beth Clark, Margaux Dowland, Laura Benton, Reka Budai, Ibrahim Kaan Keskin, Emma Searle, Matthew Gregory, Mark Hodierne, William Gayne, John Roberts. (01/2025). arXiv. https://arxiv.org/pdf/2502.10410
Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese
Jie Yang, Ehsan Latif, Yuze He, Xiaoming Zhai. (01/2025). arXiv. http://arxiv.org/pdf/2501.06704v1
