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Elementary (PK5)
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 181 - 210 of 275
MindScratch: A Visual Programming Support Tool for Classroom Learning Based on Multimodal Generative AI
Yunnong Chen, Shuhong Xiao, Yaxuan Song, Zejian Li, Lingyun Sun, Liuqing Chen. (12/2024). arXiv. https://arxiv.org/pdf/2412.09001
Advancing Transformative Education: Generative Ai As A Catalyst For Equity And Innovation
Chiranjeevi Bura, Praveen Kumar Myakala. (11/2024). arXiv. http://arxiv.org/pdf/2411.15971v1
Generative AI And Agency In Education: A Critical Scoping Review and Thematic Analysis
Jasper Roe, Mike Perkins. (11/2024). arXiv. http://arxiv.org/pdf/2411.00631v1
Metabook: A System to Automatically Generate Interactive AR Storybooks to Improve Children's Reading
Yibo Wang, Yuanyuan Mao, Shi-ting Ni, Wang Zeyu, Hui Pan. (11/2024). arXiv. http://arxiv.org/pdf/2405.13701v2
MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education
Naiming Liu, MyCo Le, Shashank Sonkar, Richard G. Baraniuk. (10/2024). arXiv. https://arxiv.org/pdf/2407.00938
The Extent of AI Applications in EFL Learning and Teaching
Yousif A. Alshumaimeri, Abdulrahman K. Alshememry. (10/2024). IEEE. https://ieeexplore.ieee.org/document/10272618
MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula
Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo. (10/2024). arXiv. https://arxiv.org/pdf/2408.04226
The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models
Subhankar Maity, Aniket Deroy. (10/2024). arXiv. http://arxiv.org/pdf/2410.09576v1
How to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations
Jaekwon Park, Jiyoung Bae, Unggi Lee, Taekyung Ahn, Sookbun Lee, Dohee Kim, Aram Choi, Yeil Jeong, Jewoong Moon, Hyeoncheol Kim. (09/2024). arXiv. http://arxiv.org/pdf/2409.04987v1
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Sessler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel. (09/2024). arXiv. http://arxiv.org/pdf/2401.00832v3
A Comprehensive Review on Generative AI for Education
Uday Mittal, Siva Sai, Vinay Chamola, Devika Sangwan. (09/2024). IEEE. https://ieeexplore.ieee.org/document/10695056
LLaVA-docent: Instruction tuning with multimodal large language model to support art appreciation education‚ú©
Unggi Lee, Minji Jeon, Yunseo Lee, Gyuri Byun, Yoorim Son, Jaeyoon Shin, Hongkyu Ko, Hyeoncheol Kim. (09/2024). arXiv. http://arxiv.org/pdf/2402.06264v3
Backwards Planning with Generative AI: Case Study Evidence from US K12 Teachers
Samantha Keppler, Wichinpong Park Sinchaisri, Clare Snyder. (08/2024). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4924786
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
Yuyan Chen, Chenwei Wu, Songzhou Yan, Panjun Liu, Haoyu Zhou, Yanghua Xiao. (08/2024). arXiv. http://arxiv.org/pdf/2408.10947v1
Building a Domain-specific Guardrail Model in Production
Mohammad Niknazar, Paul V Haley, Latha Ramanan, Sang T. Truong, Yedendra Shrinivasan, Ayan Kumar Bhowmick, Prasenjit Dey, Ashish Jagmohan, Hema Maheshwari, Shom Ponoth, Robert Smith, Aditya Vempaty, Nick Haber, Sanmi Koyejo, Sharad Sundararajan. (07/2024). arXiv. http://arxiv.org/pdf/2408.01452v1
COMET : "Cone of experience” enhanced large multimodal model for mathematical problem generation
Sannyuya Liu, Jintian Feng, Zongkai Yang, Yawei Luo, Qian Wan, Xiaoxuan Shen, Jianwen Sun. (07/2024). arXiv. http://arxiv.org/pdf/2407.11315v1
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan. (07/2024). arXiv. http://arxiv.org/pdf/2407.09136v1
FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-3
Georgios Makridis, Athanasios Oikonomou, Vasileios Koukosa. (07/2024). arXiv. http://arxiv.org/pdf/2407.09467v1
The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
Okan Bulut, Maggie Beiting-Parrish, Jodi M. Casabianca, Sharon C. Slater, Hong Jiao, Dan Song, Christopher Ormerod, Deborah Gbemisola Fabiyi, Rodica Ivan, Cole Walsh, Oscar Rios, Joshua Wilson, Seyma N. Yildirim-Erbasli, Tarid Wongvorachan, Joyce Xinle Liu, Bin Tan, Polina Morilova. (06/2024). arXiv. http://arxiv.org/pdf/2406.18900v1
Generative Al and Digital Neocolonialism in Global Education: Towards an Equitable Framework
Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (06/2024). arXiv. http://arxiv.org/pdf/2406.02966v3
A GPT-based Code Review System for Programming Language Learning
Lee Dong-Kyu. (06/2024). arXiv. http://arxiv.org/pdf/2407.04722v1
Bringing Generative AI to Adaptive Learning in Education
Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen. (06/2024). arXiv. https://arxiv.org/pdf/2402.14601
Comprehensive AI Assessment Framework: Enhancing Educational Evaluation With Ethical Ai Integration
Selcuk Kilinc. (06/2024). arXiv. https://arxiv.org/pdf/2407.16887
Systematic review of research on artificial intelligence in K-12 education (2017-2022)
Florence Martin, Min Zhuang, Darlene Schaefer. (06/2024). ScienceDirect. https://www.sciencedirect.com/science/article/pii/S2666920X23000747
Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
Joykirat Singh, Akshay Nambi, Vibhav Vineet. (06/2024). arXiv. http://arxiv.org/pdf/2406.10834v1
Artificial Intelligence and Educational Measurement: Opportunities and Threats
Andrew D. Ho. (05/2024). DASH Harvard. https://dash.harvard.edu/bitstream/handle/1/37379195/AI%20and%20Educational%20M…
Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study
Jesse Josua Benjamin, Joseph Lindley, Elizabeth Edwards, Elisa Rubegni, Tim Korjakow, David Grist, Rhiannon Sharkey. (05/2024). arXiv. http://arxiv.org/pdf/2405.04677v1
Effective and Scalable Math Support: Experimental Evidence on the Impact of an AI- Math Tutor in Ghana
Owen Henkel, Hannah Horne-Robinson, Nessie Kozhakhmetova, Amanda Lee. (05/2024). arXiv. https://arxiv.org/pdf/2402.09809
