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Reimagined Schooling
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 333
"Code Is Cheap. Show Me The Talk.": Lessons From Teaching And Managing AI Coding Tool Usage In A Visualization Course
Zhongzheng Xu, Taehyun Yang, Fumeng Yang. (09/2026). arXiv. https://arxiv.org/abs/2607.09938v2
Judgment-Centred Software Engineering Education: A Post-Hype Review And Framework For AI-Augmented Learning
Qusay H. Mahmoud. (09/2026). arXiv. https://arxiv.org/abs/2609.29473v1
Characterizing LLM-Based Family Education Through The Lens Of Activity Theory: A Scoping Review Of The Hci Literature
Lan Luo, Yuqi Liang, Jie Cai, Anqi Wang, Dongyijie Primo Pan, Muzhi Zhou, Chun Yu, Pan Hui. (09/2026). arXiv. https://arxiv.org/abs/2609.28886v1
Teaching AI, Robotics, & Community: A Hubs-Based K-12 Education Framework For Reaching Rural Schools
Maxwell J. Jacobson, Gustavo Rodriguez-Rivera, Petros Drineas, Yexiang Xue. (09/2026). arXiv. https://arxiv.org/abs/2609.18072v1
Alternative AI Philosophy: Daoism As Method For AI In Education
Qin Xie. (09/2026). arXiv. https://arxiv.org/abs/2609.10842v2
Artificial Intelligence Literacy And Sustainable Development: An Ethical Governance And Development Goals Framework
Md. Masudul Islam, Mirza Niaz Morshed, Md. Shafiqul Islam. (09/2026). arXiv. https://arxiv.org/abs/2609.10489v1
An Emancipatory Vision For Designing (Generative) AI For Learner Flourishing
Luis P. Prieto, Yannis Dimitriadis. (09/2026). arXiv. https://arxiv.org/abs/2609.07715v1
Statistical Theory In The Age Of Machine-Assisted Mathematics: Rethinking How Theory Is Made And Taught
Pietro Coretto. (09/2026). arXiv. https://arxiv.org/abs/2609.04481v1
Generativism: Toward A Learning Theory For The Age Of Generative Artificial Intelligence
Shan Li, Juan Zheng. (08/2026). arXiv. https://arxiv.org/abs/2606.12441v2
Beyond Helpfulness: A Teaching-Over-Solving Diagnostic For Measuring Educational Impact In LLM Tutors
Junyi Yao, Zihao Zheng, Baichuan Li. (08/2026). arXiv. https://arxiv.org/abs/2606.16206v2
Reclaiming Epistemic Agency: A Critical Framework For Human-Generative AI Co-Agency In Education
Biranchi Poudyal. (08/2026). arXiv. https://arxiv.org/abs/2608.26937v1
Culturally-Aware AI For Cross-Boundary Community Learning: Undergraduate Innovation At The Intersection Of Computation And Design
Jiaojiao Zhao, Weisheng Zhang, Jiawen Cai, Haibin Gao, Luyao Zhang. (08/2026). arXiv. https://arxiv.org/abs/2606.09041v2
The Theoretical Foundation Of Socratic Tests: Dynamic, Multimodal, Conversational Examinations
Ilya Mikhelson. (07/2026). arXiv. https://arxiv.org/abs/2607.29624v1
Is Solving Better Than Evaluating Genai Solutions?
Ethan Dickey, Marios Mertzanidis, Alexandros Psomas. (07/2026). arXiv. https://arxiv.org/abs/2607.27586v1
Structured AI Demonstrations And Student LLM Use In Engineering Mechanics: Study Design And Preliminary Results
Shuang Geng, Helen Lallos-Harrell, Jiya Ashar, Thomas J. McKenna, Annwesa Dasgupta, Caleb Farny, Emma Lejeune. (07/2026). arXiv. https://arxiv.org/abs/2607.28710v1
Beyond Perspectives: A Trio-Ethnography Of Interpretation Evolution In LLM-Supported Programming Education
Jennie Ren, Jordan H. McDowell, Kyrie Zhixuan Zhou. (07/2026). arXiv. https://arxiv.org/abs/2607.22463v1
AI-Integrated Scientific Inquiry: A Practice-Centered Vision For Science Education
Arne Bewersdorff, Matias Rojas, Xiaoming Zhai. (07/2026). arXiv. https://arxiv.org/abs/2607.21777v1
A Tool-Invariant Framework For Teaching And Assessing Computational Methods In The Age Of Agentic AI
Larry Engelhardt. (07/2026). arXiv. https://arxiv.org/abs/2607.15518v1
Co-Designing Digital Humans For Online Learning: A Framework For Human-AI Pedagogical Integration
Xiaokang Leil, Ching Christie Pang, Yuyang Jiang, Xin Tong, and Pan Hui. (07/2026). arXiv. https://arxiv.org/abs/2601.17434v2
From Chaos To Clarity: A Framework For Program-Level AI Learning Outcomes
Grace Barkhuff, Ian Pruitt, William Gregory Johnson, Rodrigo Borela, Ben Rydal Shapiro, Anu G. Bourgeois. (07/2026). arXiv. https://arxiv.org/abs/2607.12221v1
Commenting With Copilot: A Taxonomy And Multi-Year Analysis Of Student Code-Generation Specifications
Nasser Giacaman, Valerio Terragni, Paul Denny, Viraj Kumar. (07/2026). arXiv. https://arxiv.org/abs/2607.10674v1
AIED's Unfinished Mission: Centering Agency And Motivation In The Age Of Effortless Bypass
H. Chad Lane. (07/2026). arXiv. https://arxiv.org/abs/2607.05557v1
A Framework For Institutional Change In The Age Of AI
David Perl-Nussbaum, Noah D. Finkelstein. (07/2026). arXiv. https://arxiv.org/abs/2605.12757v2
Evaluating Interactivity: Toward Automated Assessment Of AI-Generated Explorable Explanations
Xiaozao Wang, Zhewei Wang, Hongyi Wen. (06/2026). arXiv. https://arxiv.org/abs/2606.31012v1
Llmography: Transforming Human-AI Conversations Into Traceability, Oversight, And Auditability Indicators
Mohammed Bousmah. (06/2026). arXiv. https://arxiv.org/abs/2606.29437v1
Arapai: An Offline-First LLM Architecture For Adaptive Learning In Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, and Keith Ainebyona. (06/2026). arXiv. https://arxiv.org/abs/2603.03339v7
The Effortless Trap: Productive Struggle, AI, And The Illusion Of Learning
Mario Brcic, Stjepan Frljic. (06/2026). arXiv. https://arxiv.org/abs/2606.26181v1
