Elementary (PK5)
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 61 - 90 of 323
Feanel: A Benchmark For Fine-Grained Error Analysis In K-12 English Writing
Jingheng Ye, Shen Wang, Jiaqi Chen, Hebin Wang, Deqing Zou, Yanyu Zhu, Jiwei Tang, Hai-Tao Zheng, Ruitong Liu, Haoyang Li, Yanfeng Wang, Qingsong Wen. (11/2025). arXiv. https://arxiv.org/abs/2511.22883v1
Human Experts' Evaluation Of Generative Ai For Contextualizing Steam Education In The Global South
Matthew Nyaaba, Macharious Nabang, Patrick Kyeremeh, Ibrahim Nantomah, Collins Owusu-Fordjour, Martin Ako, Bismark Nyaaba Akanzire, Kassim Korah Nantomah, Cecilia Issaka, Xiaoming Zhai. (11/2025). arXiv. https://arxiv.org/abs/2511.19482v3
Cllmrec: Llm-Powered Cognitive-Aware Concept Recommendation Via Semantic Alignment And Prerequisite Knowledge Distillation
Xiangrui Xiong, Yichuan Lu, Zifei Pan, Chang Sun. (11/2025). arXiv. https://arxiv.org/abs/2511.17041v2
Addressing Situated Teaching Needs: A Multi-Agent Framework For Automated Slide Adaptation
Binglin Liu, Yucheng Wang, Zheyuan Zhang, Jiyuan Lu, Shen Yang, Daniel Zhang-Li, Huiqin Liu, Jifan Yu. (11/2025). arXiv. https://arxiv.org/abs/2511.18840v1
Scaling Item-To-Standard Alignment With Large Language Models: Accuracy, Limits, And Solutions
Farzan Karimi-Malekabadi, Pooya Razavi, Sonya Powers. (11/2025). arXiv. https://arxiv.org/abs/2511.19749v1
Exploring Families' Use And Mediation Of Generative Ai: A Multi-User Perspective
Shirley Zhang, Dakota Sullivan, Jennica Li, Bengisu Cagiltay, Bilge Mutlu, Heather Kirkorian, Kassem Fawaz. (11/2025). arXiv. https://arxiv.org/abs/2504.09004v3
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Rose E. Wang, Ana T. Ribeiro, Carly D. Robinson, Susanna Loeb, Dora Demszky. (11/2025). EdWorkingPapers. https://edworkingpapers.com/ai24-1054
Llms4All: A Review Of Large Language Models Across Academic Disciplines
Yanfang (Fanny) Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Edward Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V Chawla. (11/2025). arXiv. https://arxiv.org/abs/2509.19580v5
Principled Design Of Interpretable Automated Scoring For Large-Scale Educational Assessments
Yunsung Kim, Mike Hardy, Joseph Tey, Candace Thille, Chris Piech. (11/2025). arXiv. https://arxiv.org/abs/2511.17069v1
Musicair: A Multimodal Ai Music Generation Framework Powered By An Algorithm-Driven Core
Callie C. Liao, Duoduo Liao, Ellie L. Zhang. (11/2025). arXiv. https://arxiv.org/abs/2511.17323v1
Generative Ai And Power Imbalances In Global Education: Frameworks For Bias Mitigation
Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (11/2025). arXiv. https://arxiv.org/abs/2406.02966v4
The Quick Red Fox Gets The Best Data Driven Classroom Interviews: A Manual For An Interview App And Its Associated Methodology Version 1.0
Jaclyn Ocumpaugh, Luc Paquette, Ryan Baker, Amanda Barany, Jeff Ginger, Neithan Casano, Andres Zambrano, Xiner Liu, Zhanlan Wei, Yiqui Zhou, Sophie Liu, Stephen Hutt, Alexis Andres, Nidhi Nasiar, Camille Giordano, Martin van Velsen, Michael Mogessie. (11/2025). arXiv. https://arxiv.org/abs/2511.13466v1
Autosynth: Automated Workflow Optimization For High-Quality Synthetic Dataset Generation Via Monte Carlo Tree Search
Shuzhen Bi, Chang Song, Siyu Song, Jinze Lv, Jian Chen, Xinyun Wang, Aimin Zhou, Hao Hao. (11/2025). arXiv. https://arxiv.org/abs/2511.09488v1
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
Beyond Algorethics: Addressing The Ethical And Anthropological Challenges Of Ai Recommender Systems
Octavian M. Machidon. (11/2025). arXiv. https://arxiv.org/abs/2507.16430v2
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
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
The Imperfect Learner: Incorporating Developmental Trajectories In Memory-Based Student Simulation
Zhengyuan Liu, Stella Xin Yin, Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee, Guimei Liu, Dion Hoe-Lian Goh, Wenya Wang, Nancy F. Chen. (11/2025). arXiv. https://arxiv.org/abs/2511.05903v1
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
Eduagentqg: A Multi-Agent Workflow Framework For Personalized Question Generation
Rui Jia, Min Zhang, Fengrui Liu, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.11635v1
Artificial Intelligence In Elementary Stem Education: A Systematic Review Of Current Applications And Future Challenges
Majid Memari, Krista Ruggles. (11/2025). arXiv. https://arxiv.org/abs/2511.00105v2
Extracting Causal Relations In Deep Knowledge Tracing
Kevin Hong, Kia Karbasi, Gregory Pottie. (11/2025). arXiv. https://arxiv.org/abs/2511.03948v1
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
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
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
Building Ai Literacy At Home: How Families Navigate Children'S Self-Directed Learning With Ai
Jingyi Xie, Chuhao Wu, Ge Wang, Rui Yu, He Zhang, Ronald Metoyer, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.24070v1
Measuring Teaching With Llms
Michael Hardy. (10/2025). arXiv. https://arxiv.org/abs/2510.22968v1
