Efficiency
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 421 - 450 of 685
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
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
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
Generative AI Literacy: A Comprehensive Framework for Literacy and Responsible Use
Chengzhi Zhang, Brian Magerko. (04/2025). arXiv. https://arxiv.org/pdf/2504.19038v1
INSIGHT: Bridging the Student-Teacher Gap in Times of Large Language Models
Jarne Thys, Sebe Vanbrabant, Davy Vanacken, Gustavo Rovelo Ruiz. (04/2025). arXiv. https://arxiv.org/pdf/2504.17677v1
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
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
Inclusive Education with AI: Supporting Special Needs and Tackling Language Barriers
Ricardo Fitas. (04/2025). arXiv. https://arxiv.org/pdf/2504.14120v1
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
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
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
Supporting Students' Reading and Cognition with AI
Yue Fu, Alexis Hiniker. (04/2025). arXiv. https://arxiv.org/pdf/2504.13900v1
NotebookLM: An LLM with RAG for active learning and collaborative tutoring
Eugenio Tufino. (04/2025). arXiv. https://arxiv.org/pdf/2504.09720v1
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
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
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%…
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
"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
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
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
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
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
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
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
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
Autograding Mathematical Induction Proofs with Natural Language Processing
Chenyan Zhao, Mariana Silva, Seth Poulsen. (02/2025). arXiv. http://arxiv.org/pdf/2406.10268v2
