High School (9-12)
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 301 - 330 of 492
KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
Yumou Wei, Paulo Carvalho, John Stamper. (05/2025). arXiv. http://arxiv.org/pdf/2505.06469v1
Enhancing Mathematics Learning for Hard-of-Hearing Students Through Real-Time Palestinian Sign Language Recognition: A New Dataset
Fidaa khandaqji, Huthaifa I. Ashqar, Abdelrahem Atawnih. (05/2025). arXiv. http://arxiv.org/pdf/2505.17055v1
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Pedagogical Visualization
Haonian Ji, Shi Qiu, Siyang Xin, Siwei Han, Zhaorun Chen, Dake Zhang, Hongyi Wang, Huaxiu Yao. (05/2025). arXiv. http://arxiv.org/pdf/2505.16832v1
Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
Jiabei Cheng, Zhen-Qun Yang, Jiannong Cao, Yu Yang, Xinzhe Zheng. (05/2025). arXiv. http://arxiv.org/pdf/2505.11119v1
Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach
Ruikun Hou, Babette BŸhler, Tim FŸtterer, Efe Bozkir, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci. (05/2025). arXiv. http://arxiv.org/pdf/2505.07902v1
VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections
Eason Chen, Xinyi Tang, Aprille Xi, Chenyu Lin, Conrad Borchers, Jionghao Lin, Shivang Gupta, Kenneth R Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.07736v2
SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models
Peichao Lai, Kexuan Zhang, Yi Lin, Linyihan Zhang, Feiyang Ye, Jinhao Yan, Yanwei Xu, Conghui He, Yilei Wang, Wentao Zhang, Bin Cui. (05/2025). arXiv. http://arxiv.org/pdf/2505.07247v2
Towards Actionable Pedagogical Feedback: A Multi-Perspective Analysis of Mathematics Teaching and Tutoring Dialogue
Jannatun Naim, Jie Cao, Fareen Tasneem, Jennifer Jacobs, Brent Milne, Tamara Sumner, James Martin. (05/2025). arXiv. http://arxiv.org/pdf/2505.07161v1
When the prompting stops: exploring teachers' work around the educational frailties of generative AI tools
Neil Selwyn, Marita Ljungqvist, Anders Sonesson. (04/2025). Learning, Media and Technology. https://www.tandfonline.com/doi/full/10.1080/17439884.2025.2537959#abstract
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
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
A Platform for Generating Educational Activities to Teach English as a Second Language
Aiala Rosa, Santiago Gongora, Juan Pablo Filevich, Ignacio Sastre, Laura Musto, Brian Carpenter, Luis Chiruzzo. (04/2025). arXiv. https://arxiv.org/pdf/2504.20251v1
Evolution of AI in Education: Agentic Workflows
Firuz Kamalov, David Santandreu Calonge, Linda Smail, Dilshod Azizov, Dimple R. Thadani, Theresa Kwong, Amara Atif. (04/2025). arXiv. https://arxiv.org/pdf/2504.20082v1
Generative AI Literacy: A Comprehensive Framework for Literacy and Responsible Use
Chengzhi Zhang, Brian Magerko. (04/2025). arXiv. https://arxiv.org/pdf/2504.19038v1
Multilingual Performance Biases of Large Language Models in Education
Vansh Gupta, Sankalan Pal Chowdhury, Vilem Zouhar, Donya Rooein, Mrinmaya Sachan. (04/2025). arXiv. https://arxiv.org/pdf/2504.17720v1
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
Danial Hooshyar, Gustav Sir, Yeongwook Yang, Eve Kikas, Raija Hamalainen, Tommi Karkkainen, Dragan Gasevic, Roger Azevedo. (04/2025). arXiv. https://arxiv.org/pdf/2504.16148v1
Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models
Kester Wong, Bin Wu, Sahan Bulathwela, Mutlu Cukurova. (04/2025). arXiv. https://arxiv.org/pdf/2504.15093v1
Mathematical Capabilities of Large Language Models in Finnish Matriculation Examination
Mika Setala, Pieta Sikstrom, Ville Heilala, Tommi Karkkainen. (04/2025). arXiv. https://arxiv.org/pdf/2504.12347v1
AI-Based Identification And Support Of At-Risk Students: A Case Study Of The Moroccan Education System
Ismail Elbouknify, Ismail Berrada, Loubna Mekouar, Youssef Iraqui, EL Houcine Bergou, Hind Belhabib, Younes Nail, Souhail Wardi. (04/2025). arXiv. https://arxiv.org/pdf/2504.07160v1
Beyond Tools: Generative AI as Epistemic Infrastructure in Education
Bodong Chen. (04/2025). arXiv. https://arxiv.org/pdf/2504.06928v1
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
"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
The Imitation Game for Educational AI
Shashank Sonkar, Naiming Liu, Xinghe Chen, Richard G. Baraniuk. (02/2025). arXiv. https://arxiv.org/pdf/2502.15127
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
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
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
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
