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High School (9-12)
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 361 - 390 of 586
Where is AIED Headed? Key Topics and Emerging Frontiers (2020-2024)
Shihui Feng, Huilin Zhang, Dragan Gasevic. (06/2025). arXiv. http://arxiv.org/pdf/2506.20971v1
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
Lixin Wu, Na Cai, Qiao Cheng, Jiachen Wang, Yitao Duan. (06/2025). arXiv. http://arxiv.org/pdf/2506.18330v2
"How can we learn and use Al at the same time?": Participatory Design of GenAl with High School Students
Isabella Pu, Prerna Ravi, Linh Dieu Dinh, Chelsea Joe, Caitlin Ogoe, Zixuan Li, Cynthia Breazeal, Anastasia K. Ostrowski. (06/2025). arXiv. http://arxiv.org/pdf/2506.15525v2
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning
Russell Beale. (06/2025). arXiV. https://arxiv.org/abs/2506.19484
Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond
Antonin Berthon, Mihaela van der Schaar. (06/2025). arXiv. http://arxiv.org/pdf/2506.16982v1
From Generation to Adaptation: Comparing AI-Assisted Strategies in High School Programming Education
Tong Hua, Songzan Wang. (06/2025). arXiv. http://arxiv.org/pdf/2506.15955v1
Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
Vivek Chavan, Arsen Cenaj, Shuyuan Shen, Ariane Bar, Srishti Binwani, Tommaso Del Becaro, Marius Funk, Lynn Greschner, Roberto Hung, Stina Klein, Romina Kleiner, Stefanie Krause, Sylwia Olbrych, Vishvapalsinhji Parmar, Jaleh Sarafraz, Daria Soroko, Daksitha Withanage Don, Chang Zhou, Hoang Thuy Duong Vu, Parastoo Semnani, Daniel Weinhardt, Elisabeth Andre, Jorg Kruger, Xavier Fresquet. (06/2025). arXiv. http://arxiv.org/pdf/2506.12437v1
Sense and Sensibility: What makes a social robot convincing to high-school students?
Pablo Gonz‡lez-Oliveras, Olov Engwall, Ali Reza Majlesi. (06/2025). arXiv. http://arxiv.org/pdf/2506.12507v1
"Check My Work?" Measuring Sycophancy in a Simulated Educational Context
Chuck Arvin. (06/2025). arXiv. http://arxiv.org/pdf/2506.10297v1
Automatic Generation of Inference Making Questions for Reading Comprehension Assessments
Wanjing Anya Ma, Michael Flor, Zuowei Wang. (06/2025). arXiv. http://arxiv.org/pdf/2506.08260v1
Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation
Kseniia Petukhova, Ekaterina Kochmar. (06/2025). arXiv. http://arxiv.org/pdf/2506.07626v1
Adultification Bias in LLMs and Text-to-Image Models
Jane Castleman, Aleksandra Korolova. (06/2025). arXiv. http://arxiv.org/pdf/2506.07282v1
T-TEXTS (Teaching Text Expansion for Teacher Scaffolding): Enhancing Text Selection in High School Literature through Knowledge Graph-Based Recommendation
Nirmal Gelal, Chloe Snow, Ambyr Rios, Hande Kuuk McGinty. (06/2025). arXiv. http://arxiv.org/pdf/2506.12075v1
Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests
Stefan Dascalescu, Dumitran Adrian Marius, Mihai Alexandru Vasiluta. (06/2025). arXiv. http://arxiv.org/pdf/2506.05990v1
Simulating LLM-to-LLM Tutoring for Multilingual Math Feedback
Junior Cedric Tonga, KV Aditya Srivatsa, Kaushal Kumar Maurya, Fajri Koto, Ekaterina Kochmar. (06/2025). arXiv. http://arxiv.org/pdf/2506.04920v1
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
Giorgio Biancini, Alessio Ferrato, Carla Limongelli. (06/2025). arXiv. http://arxiv.org/pdf/2506.04851v1
Facts Do Care About Your Language: Assessing Answer Quality of Multilingual LLMs
Shmuel Berman, Yuval Kansal, Lydia Liu. (06/2025). arXiv. http://arxiv.org/pdf/2506.03051v1
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
Junhao Yu, Yan Zhuang, YuXuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen. (06/2025). arXiv. http://arxiv.org/pdf/2506.03032v1
Towards Generating Controllable and Solvable Geometry Problem by Leveraging Symbolic Deduction Engine
Zhuoxuan Jiang, Tianyang Zhang, Peiyan Peng, Jing Chen, Yinong Xun, Haotian Zhang, Lichi Li, Yong Li, Shaohua Zhang. (06/2025). arXiv. http://arxiv.org/pdf/2506.02565v1
BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses
Shadman Rohan, Ishita Sur Apan, Muhtasim Ibteda Shochcho, Md Fahim, Mohammad Ashfaq Ur Rahman, AKM Mahbubur Rahman, Amin Ahsan Ali. (06/2025). arXiv. http://arxiv.org/pdf/2506.01817v1
K12Vista: Exploring the Boundaries of MLLMs in K-12 Education
Chong Li, Chenglin Zhu, Tao Zhang, Mingan Lin, Zenan Zhou, Jian Xie. (06/2025). arXiv. http://arxiv.org/pdf/2506.01676v1
A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI
Sapolnach Prompiengchai, Charith Narreddy, Steve Joordens. (06/2025). arXiv. http://arxiv.org/pdf/2505.23405v2
CO-OPERA: A Human-AI Collaborative Playwriting Tool to Support Creative Storytelling for Interdisciplinary Drama Education
Xuejiao Ma, Haibo Zhao, Zinuo Guo, Yijie Guo, Guanhong Liu, Bo Jiang. (06/2025). arXiv. http://arxiv.org/pdf/2506.00791v1
Evaluating Gemini in an Arena for Learning
LearnLM Team, Google. (05/2025). arXiv. http://arxiv.org/pdf/2505.24477v1
From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven 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/2505.16832v2
Particle Builder - Learn about the Standard Model while playing against an AI*
Mohammad Attar, Andrew Carse, Yeming Chen, Thomas Green, Jeong-Yeon Ha, Yanbai Jin, Amy McWilliams, Theirry Panggabean, Zhengyu Peng, Lujin Sun, Jing Ru, Jiacheng She, Jialin Wang, Zilun Wei, Jiayuan Zhu, Lachlan McGinness. (05/2025). arXiv. http://arxiv.org/pdf/2506.09054v1
LMCD: Language Models are Zeroshot Cognitive Diagnosis Learners
Yu He, Zihan Yao, Chentao Song, Tianyu Qi, Jun Liu, Ming Li, Qing Huang. (05/2025). arXiv. http://arxiv.org/pdf/2505.21239v1
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal. (05/2025). arXiv. http://arxiv.org/pdf/2505.19173v1
From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria
Mart¬ín De Simone, Federico Tiberti, Maria Barron Rodriguez, Federico Manolio, Wuraola Mosuro, Eliot Jolomi Dikoru. (05/2025). arXiv. https://documents.worldbank.org/en/publication/documents-reports/documentdetail…
A systematic review of AI-driven intelligent tutoring systems (ITS) in K-12 education
Angélique Létourneau, Marion Deslandes Martineau, Patrick Charland, John Alexander Karran, Jared Boasen, Pierre Majorique L√©ger. (05/2025). npj Science of Learning. https://www.nature.com/articles/s41539-025-00320-7
