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High School (9-12)
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 61 - 90 of 579
Psychological Mechanisms Of Generative AI Discontinuance Intention Among Chinese - 12 Teachers
Yiran Du, Qian Chen, Huimin He. (05/2026). arXiv. https://arxiv.org/abs/2605.16648v1
Adesua: Development And Feasibility Study Of An AI Whatsapp Bot For Science Learning In West Africa
George Boateng, Evans Atompoya, Philemon Badu, Samuel John, Samuel Ansah, Patrick Agyeman-Budu, and Victor Kumbol. (05/2026). arXiv. https://arxiv.org/abs/2605.15376v1
Sycophancy Is An Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks
Enkelejda Kasneci, Gjergji Kasneci. (05/2026). arXiv. https://arxiv.org/abs/2605.14604v1
Computational Thinking Development In AI Agent Creation: A Mixed-Methods Study
Yimeng Sun, Haiyang Xin, Qiannan Niu, Shuang Li, Lingyun Huang, Gaowei Chen. (05/2026). arXiv. https://arxiv.org/abs/2605.14330v1
Little Impact Of ChatGPT Availability On High School Student Test Score Performance
Nick Huntington-Klein. (05/2026). arXiv. https://arxiv.org/abs/2605.08812v2
Simulating Students Or Sycophantic Problem Solving? On Misconception Faithfulness Of LLM Simulators
Heejin Do, Shashank Sonkar, Mrinmaya Sachan. (05/2026). arXiv. https://arxiv.org/abs/2605.12748v1
Early AI Literacy In Culturally Responsive STEM Outreach For Black Youth
Qusay H. Mahmoud, Kimberly Davis, Paula Duru, Laura Thursby, Hossam Kishawy. (05/2026). arXiv. https://arxiv.org/abs/2605.12355v1
Roboblockly Studio: Conversational Block Programming With Embodied Robot Feedback For Computational Thinking
Leyi Li, Chenyu Du, Jiafei Sun, Erick Purwanto, Qing Zhang. (05/2026). arXiv. https://arxiv.org/abs/2605.12059v1
Temperature And Persona Shape LLM Agent Consensus With Minimal Accuracy Gains In Qualitative Coding
Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Elham Tajik, Sreecharan Sankaranarayanan, Sebastian Simon. (05/2026). arXiv. https://arxiv.org/abs/2507.11198v2
Who Decides In AI-Mediated Learning?: The Agency Allocation Framework
Conrad Borchers, Olga Viberg, René F. Kizilcec. (05/2026). arXiv. https://arxiv.org/abs/2604.13534v2
Teachers' Perceived Benefits And Risks Of AI Across Fifty-Five Countries: An Audit Of LLM Alignment And Steerability
Yan Tao, Olga Viberg, Deepak Varuvel Dennison, Zhikun Wu, René F. Kizilcec. (05/2026). arXiv. https://arxiv.org/abs/2605.08486v1
Who Designs The Designer? Behavioural Architecture For Genai In Education
Sepinoud Azimi. (05/2026). arXiv. https://arxiv.org/abs/2606.12416v1
Learnmate^2: Design And Evaluation Of An LLM-Powered Personalized And Adaptive Support System For Online Learning
Xinyu Jessica Wang, Christine P Lee, Bilge Mutlu. (05/2026). arXiv. https://arxiv.org/abs/2605.06257v1
A Meta-Analysis Of The Effect Of Generative AI On Productivity And Learning In Programming
Sebastian Maier, Moritz Gunzenh√§user, Jonas Schweisthal, Manuel Schneider, Stefan Feuerriegel. (05/2026). arXiv. https://arxiv.org/abs/2605.04779v1
The Impact Of Coercive, Normative, And Mimetic Stress On Chinese Teachers'Continuance Intention To Use Generative AI: An Integrated Perspective Of The Expectation-Confirmation Model And Institutional Theory
Kunjie Jia, Kai Cui, Huimin He, Yiran Du. (05/2026). arXiv. https://arxiv.org/abs/2605.00522v1
AI Adoption Among Teachers: Insights On Concerns, Support, Confidence, And Attitudes
Vanessa Baltazar Sibug, Maria Anna David Cruz, Vicky Pineda Vital, Juvy Cruz Grume, Almer Balingit Gamboa, Emerson Quiambao Fernando, Lloyd David Feliciano, Jordan Lansang Salenga, John Paul Palo Miranda. (05/2026). arXiv. https://arxiv.org/abs/2605.00343v1
Pedagogical Promise And Peril Of AI: A Text Mining Analysis Of ChatGPT Research Discussions In Programming Education
Juvy C. Grume, John Paul P. Miranda, Aileen P. De Leon, Jordan L. Salenga, Hilene E. Hernandez, Mark Anthony A. Castro, Vernon Grace M. Maniago, Joel D. Canlas, Joel B. Quiambao. (05/2026). arXiv. https://arxiv.org/abs/2605.00361v1
Math Education Digital Shadows For Facilitating Learning With LLMs: Math Performance, Anxiety And Confidence In Simulated Students And Ais
Naomi Esposito, Anthony Tricarico, Luisa Porzio, Ali Aghazadeh Ardebili, and Massimo Stella. (04/2026). arXiv. https://arxiv.org/abs/2604.27618v1
From Test-Taking To Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark For LLMs On English Standardized Tests
Luoxi Tang, Tharunya Sundar, Yuqiao Meng, Shuai Yang, Ankita Patra, Lakshmi Manohar Chippada, Jiqian Zhao, Yi Li, Weicheng Ma, Zhaohan Xi. (04/2026). arXiv. https://arxiv.org/abs/2505.17056v2
Human-In-The-Loop Benchmarking Of Heterogeneous LLMs For Automated Competency Assessment In Secondary Level Mathematics
Jatin Bhusal, Nancy Mahatha, Aayush Acharya, Raunak Regmi. (04/2026). arXiv. https://arxiv.org/abs/2604.26607v1
Curiosity And Metacognition: Towards A Unified Framework For Learning And Education In The Age Of AI
Chloé Desvaux, Rania Abdelghani, Pierre-Yves Oudeyer, Hélène Sauzéon. (04/2026). arXiv. https://arxiv.org/abs/2604.25648v1
Maic-Ui: Making Interactive Courseware With Generative Ui
Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu. (04/2026). arXiv. https://arxiv.org/abs/2604.25806v1
Artificial Intelligence As A Real Game To Enlighten Science Education For Disabled Students In Rural New Mexico
Nelson Uloma Egondu, Gil R. Gallegos. (04/2026). arXiv. https://arxiv.org/abs/2606.00034v1
Teachmaster: Generative Teaching Via Code
Yuheng Wang, Runde Yang, Lin Wu, Jie Zhang, Jingru Fan, Tianle Zhou, Ruoyu Fu, Huatao Li, Ruijie Shi, Siheng Chen, Weinan E, Chen Qian. (04/2026). arXiv. https://arxiv.org/abs/2601.04204v2
Tell Me Why: Designing An Explainable LLM-Based Dialogue System For Student Problem Behavior Diagnosis
Zhilin Fan, Deliang Wang, Penghe Chen, Yu Lu. (04/2026). arXiv. https://arxiv.org/abs/2604.22237v1
Community-Based AI Learning: Redistributing Artificial Intelligence'S Epistemic Authority In Education
Santiago Ojeda-Ramirez, Symone Gyles, Kylie Peppler. (04/2026). arXiv. https://arxiv.org/abs/2604.21986v1
Relational AI In Education: Reciprocity, Participatory Design, And Indigenous Worldviews
Roberto Martinez-Maldonado, Vanessa Echeverria, Jenna Hawes, YJ Kim, Zara Maddigan, Mikaela Milesi, Todd Nelson, and Yi-Shan Tsai. (04/2026). arXiv. https://arxiv.org/abs/2604.19099v1
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)
Clayton Cohn, Surya Rayala, Caitlin Snyder, Joyce Horn Fonteles, Shruti Jain, Naveeduddin Mohammed, Umesh Timalsina, Sarah K. Burriss, Ashwin T S, Namrata Srivastava, Menton Deweese, Angela Eeds, Gautam Biswas. (04/2026). arXiv. https://arxiv.org/abs/2505.17238v3

