High School (9-12)
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 121 - 150 of 459
Beyond Algorethics: Addressing The Ethical And Anthropological Challenges Of Ai Recommender Systems
Octavian M. Machidon. (11/2025). arXiv. https://arxiv.org/abs/2507.16430v2
Computational Blueprints: Generating Isomorphic Mathematics Problems With Large Language Models
Jeong-Hoon Kim, Jinwoo Nam, Geunsik Jo. (11/2025). arXiv. https://arxiv.org/abs/2511.07932v1
Diagramir: An Automatic Pipeline For Educational Math Diagram Evaluation
Vishal Kumar, Shubhra Mishra, Rebecca Hao, Rizwaan Malik, David Broman, Dorottya Demszky. (11/2025). arXiv. https://arxiv.org/abs/2511.08283v1
Ai Tutoring Can Safely And Effectively Support Students: An Exploratory Rct In Uk Classrooms
LearnLM Team, Google & Eedi. (11/2025). Google. https://storage.googleapis.com/deepmind-media/LearnLM/learnLM_nov25.pdf
Eduguardbench: A Holistic Benchmark For Evaluating The Pedagogical Fidelity And Adversarial Safety Of Llms As Simulated Teachers
Yilin Jiang, Mingzi Zhang, Xuanyu Yin, Sheng Jin, Suyu Lu, Zuocan Ying, Zengyi Yu, Xiangjie Kong. (11/2025). arXiv. https://arxiv.org/abs/2511.06890v1
Mentor: A Metacognition-Driven Self-Evolution Framework For Uncovering And Mitigating Implicit Risks In Llms On Domain Tasks
Liang Shan, Kaicheng Shen, Wen Wu, Zhenyu Ying, Chaochao Lu, Guangze Ye, Liang He. (11/2025). arXiv. https://arxiv.org/abs/2511.07107v1
Emnlp: Educator-Role Moral And Normative Large Language Models Profiling
Yilin Jiang, Mingzi Zhang, Sheng Jin, Zengyi Yu, Xiangjie Kong, Binghao Tu. (11/2025). arXiv. https://arxiv.org/abs/2508.15250v3
Simulating Students With Large Language Models: A Review Of Architecture, Mechanisms, And Role Modelling In Education With Generative Ai
Luis Marquez-Carpintero, Alberto Lopez-Sellers, Miguel Cazorla. (11/2025). arXiv. https://arxiv.org/abs/2511.06078v1
Extracting Causal Relations In Deep Knowledge Tracing
Kevin Hong, Kia Karbasi, Gregory Pottie. (11/2025). arXiv. https://arxiv.org/abs/2511.03948v1
Physicseval: Inference-Time Techniques To Improve The Reasoning Proficiency Of Large Language Models On Physics Problems
Oshayer Siddique, J. M Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan. (11/2025). arXiv. https://arxiv.org/abs/2508.00079v2
How Teachers Can Use Large Language Models And Bloom'S Taxonomy To Create Educational Quizzes
Sabina Elkins, Ekaterina Kochmar, Jackie C.K. Cheung, Iulian Serban. (11/2025). arXiv. https://arxiv.org/abs/2401.05914v2
Next Token Knowledge Tracing: Exploiting Pretrained Llm Representations To Decode Student Behaviour.
Max Norris, Kobi Gal and Sahan Bulathwela. (11/2025). arXiv. https://arxiv.org/abs/2511.02599v1
From Superficial Outputs To Superficial Learning: Risks Of Large Language Models In Education
IRIS DELIKOURA, YI R. (MAY) FUNG, PAN HUI. (11/2025). arXiv. https://arxiv.org/abs/2509.21972v2
Vibe Learning: Education In The Age Of Ai
Marcos Florencio, Francielle Prieto. (11/2025). arXiv. https://arxiv.org/abs/2511.01956v1
Fairaied: Navigating Fairness, Bias, And Ethics In Educational Ai Applications
Zhipeng Yin, Sribala Vidyadhari Chinta, Zichong Wang, Matthew Gonzalez, Wenbin Zhang. (11/2025). arXiv. https://arxiv.org/abs/2407.18745v2
Effects of LLM use and note-taking on reading comprehension and memory: A randomised experiment in secondary schools
Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake M. Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates. (11/2025). Computers & Education. https://www.sciencedirect.com/science/article/pii/S0360131525002829
Consistently Simulating Human Personas With Multi-Turn Reinforcement Learning
Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques. (10/2025). arXiv. https://arxiv.org/abs/2511.00222v1
Improving Human Verification Of Llm Reasoning Through Interactive Explanation Interfaces
Runtao Zhou, Anh Totti Nguyen, Giang Nguyen, Nikita Kharya, Chirag Agarwal. (10/2025). arXiv. https://arxiv.org/abs/2510.22922v2
Multi-Stakeholder Alignment In Llm-Powered Collaborative Ai Systems: A Multi-Agent Framework For Intelligent Tutoring
Alexandre P Uchoa, Carlo ET Oliveira, Claudia L R Motta, Daniel Schneider. (10/2025). arXiv. https://arxiv.org/abs/2510.23245v1
Pedagogy-Driven Evaluation Of Generative Ai-Powered Intelligent Tutoring Systems
Kaushal Kumar Maurya and Ekaterina Kochmar. (10/2025). arXiv. https://arxiv.org/abs/2510.22581v1
Evaluating Nlp Embedding Models For Handling Science-Specific Symbolic Expressions In Student Texts
Tom Bleckmann, Paul Tschisgale. (10/2025). arXiv. http://arxiv.org/abs/2505.17950v2
Integration of AI in STEM Education, Addressing Ethical Challenges in K-12 Settings
Shaouna Shoaib Lodhi, Shoaib Lodhi. (10/2025). arXiv. http://arxiv.org/abs/2510.19196v1
Relief Or Displacement? How Teachers Are Negotiating Generative Al'S Role In Their Professional Practice
Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex J. Bowers, Antonio Vigil, Jason Yip, Julie A. Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katie Davis. (10/2025). arXiv. http://arxiv.org/abs/2510.18296v1
Eduadapt: A Question Answer Benchmark Dataset For Evaluating Grade-Level Adaptability In Llms
Numaan Naeem, Abdellah El Mekki, Muhammad Abdul-Mageed. (10/2025). arXiv. http://arxiv.org/abs/2510.17389v1
Integrating Generative Al Into Lms: Reshaping Learning And Instructional Design
Xinran Zhu, Liam Magee, Peg Mischler. (10/2025). arXiv. http://arxiv.org/abs/2510.18026v1
Sketchmind: A Multi-Agent Cognitive Framework For Assessing Student-Drawn Scientific Sketches
Ehsan Latif, Zirak Khan, Xiaoming Zhai. (10/2025). arXiv. http://arxiv.org/abs/2507.22904v2
Enumerate-Conjecture-Prove: Formally Solving Answer-Construction Problems In Math Competitions
Jialiang Sun, Yuzhi Tang, Ao Li, Chris J. Maddison, Kuldeep S. Meel. (10/2025). arXiv. http://arxiv.org/abs/2505.18492v4
Ai-Driven Predictive Models For Optimizing Mathematics Education Technology: Enhancing Decision-Making Through Educational Data Mining And Meta-Analysis
Aneng He, Wenwen Yuan, Lai Soon Lee, Tian Tian. (10/2025). Smart Learning Environments. https://link.springer.com/article/10.1186/s40561-025-00415-z
Farsimcqgen: A Persian Multiple-Choice Question Generation Framework
Mohammad Heydari Rad, Rezvan Afari, Saeedeh Momtazi. (10/2025). arXiv. http://arxiv.org/abs/2510.15134v1
Quantum Annealing For Staff Scheduling In Educational Environments
Alessia Ciacco, Francesca Guerriero, Eneko Osaba. (10/2025). arXiv. http://arxiv.org/abs/2510.12278v1
