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Middle School (6-8)
Research synthesis is AI-generated, human reviewed. Updated 05/2025.
Displaying 1 - 30 of 220
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
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
Unggi Lee, Jaeyong Lee, Jiyeong Bae, Yeil Jeong, Junbo Koh, Gyeonggeon Lee, Gunho Lee, Taekyung Ahn, Hyeoncheol Kim. (05/2025). arXiv. http://arxiv.org/pdf/2505.18467v1
A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach
Valeria Cesaroni, Eleonora Pasqua, Piercosma Bisconti, Martina Galletti. (05/2025). arXiv. http://arxiv.org/pdf/2505.15466v1
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
Multimodal Assessment of Classroom Discourse Quality: A Text-Centered Attention-Based Multi-Task Learning Approach
Ruikun Hou, Babette Bühler, Tim Fütterer, Efe Bozkir, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci. (05/2025). arXiv. http://arxiv.org/pdf/2505.07902v1
VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback
Eason Chen, Chenyu Lin, and Yu-Kai Huang Xinyi Tang Aprille Xi Jionghao Lin, Kenneth Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.06676v1
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering
Hessa Alawwad, Usman Naseem, Areej Alhothali, Ali Alkhathlan, Amani Jamal. (05/2025). arXiv. http://arxiv.org/pdf/2505.13520v1
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
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
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors
Baraa Hikal, Mohamed Basem, Islam Oshallah, Ali Hamdi. (05/2025). arXiv. http://arxiv.org/pdf/2505.18549v1
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan. (05/2025). arXiv. http://arxiv.org/pdf/2505.15607v1
Children's Mental Models of AI Reasoning: Implications for AI Literacy Education
Aayushi Dangol, Robert Wolfe, Runhua Zhao, JaeWon Kim, Trushaa Ramanan, Katie Davis, Julie A. Kientz. (05/2025). arXiv. http://arxiv.org/pdf/2505.16031v1
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example
Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying Jui Tseng, John Stamper, Ken Koedinger. (05/2025). arXiv. http://arxiv.org/pdf/2505.08083v1
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
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
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
Al for Accessible Education: Personalized Audio-Based Learning for Blind Students
Crystal Yang, Paul Taele. (04/2025). arXiv. https://arxiv.org/pdf/2504.17117v1
LLM-based Automated Grading with Human-in-the-Loop
Hang Li, Yucheng Chu, Kaiqi Yang, Yasemin Copur-Gencturk, and Jiliang Tang. (04/2025). arXiv. https://arxiv.org/pdf/2504.05239v2
Generative AI Literacy: A Comprehensive Framework for Literacy and Responsible Use
Chengzhi Zhang, Brian Magerko. (04/2025). arXiv. https://arxiv.org/pdf/2504.19038v1
Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education
Eleonora Grassucci, Gualtiero Grassucci, Aurelio Uncini, Danilo Comminiello. (04/2025). arXiv. https://arxiv.org/pdf/2504.04815v1
Exploring Families' Use and Mediation of Generative AI: A Multi-User Perspective
Shirley Zhang, Bengisu Cagiltay, Jennica Li, Dakota Sullivan, Bilge Mutlu, Heather Kirkorian, Kassem Fawaz. (04/2025). arXiv. https://arxiv.org/pdf/2504.09004v1
EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design
Xueqiao Zhang, Chao Zhang, Jianwen Sun, Jun Xiao, Yi Yang, and Yawei Luo. (04/2025). arXiv. https://arxiv.org/pdf/2504.05370v1
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
Inclusive Education with AI: Supporting Special Needs and Tackling Language Barriers
Ricardo Fitas. (04/2025). arXiv. https://arxiv.org/pdf/2504.14120v1
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
Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study
Conrad Borchers, Tianze Shou. (04/2025). arXiv. https://arxiv.org/pdf/2504.05570v1