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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 121 - 150 of 731
Tailoring AI-Driven Reading Scaffolds To The Distinct Needs Of Neurodiverse Learners
Soufiane Jhilal, Eleonora Pasqua, Caterina Marchesi, Riccardo Corradi, Martina Galletti. (04/2026). arXiv. https://arxiv.org/abs/2603.28370v2
Grounding AI-in-Education Development in Teachers' Voices: Findings from a National Survey in Indonesia
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, and Fajri Koto. (04/2026). arXiv. https://arxiv.org/abs/2604.01630v1
Benchmarking Educational Llms With Analytics: A Case Study On Gender Bias In Feedback
Yishan Du, Conrad Borchers, Mutlu Cukurova. (04/2026). arXiv. https://arxiv.org/abs/2511.08225v2
Practitioner Voices Summit: How Teachers Evaluate AI Tools Through Deliberative Sensemaking
Dorottya Demszky, Christopher Mah, Helen Higgins. (03/2026). arXiv. https://arxiv.org/abs/2603.22588v3
Evaluating LLMs For Answering Student Questions In Introductory Programming Courses
Thomas Van Mullem, Bart Mesuere, Peter Dawyndt. (03/2026). arXiv. https://arxiv.org/abs/2603.28295v1
Understanding Teacher Revisions Of Large Language Model-Generated Feedback
Conrad Borchers, Luiz Rodrigues, Newarney Torrezao da Costa, Cleon Xavier, Rafael Ferreira Mello. (03/2026). arXiv. https://arxiv.org/abs/2603.27806v1
Compounding Disadvantage: Auditing Intersectional Bias In LLM-Generated Explanations Across Indian And American STEM Education
Amogh Gupta, Niharika Patil, Sourojit Ghosh, Snehalkumar 'Neil' S. Gaikwad. (03/2026). arXiv. https://arxiv.org/abs/2601.14506v2
"You Can Actually Do Something'': Shifts in High School Computer Science Teachers' Conceptions of AI/ML Systems and Algorithmic Justice
Daniel J. Noh, Deborah A. Fields, Yasmin B. Kafai, Danae Metaxa. (03/2026). arXiv. https://arxiv.org/abs/2602.16123v4
To Use Or Not To Use: Investigating Student Perceptions Of Faculty Generative AI Usage In Higher Education
Jie Gao, Jiayi Zhang, Dan Chen. (03/2026). arXiv. https://arxiv.org/abs/2603.25932v1
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (03/2026). arXiv. https://arxiv.org/abs/2602.18469v2
Beyond Detection: Rethinking Education In The Age Of AI-Writing
Maria Marina, Alexander Panchenko, and Vasily Konovalov. (03/2026). arXiv. https://arxiv.org/abs/2603.25329v1
Design Implications For Student And Educator Needs In AI-Supported Programming Learning Tools
Boxuan Ma, Yinjie Xie, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22673v1
Beyond Accuracy: Towards A Robust Evaluation Methodology For AI Systems For Language Education
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (03/2026). arXiv. https://arxiv.org/abs/2603.20088v1
From School AI Readiness To Student AI Literacy: A National Multilevel Mediation Analysis Of Institutional Capacity And Teacher Capability
Xiu Guana, Mingmin Zhenga, Dragan Gascevic, Wenxin Guo, Yingqun Liua, Xibin Hana, Danijela Gasevic, Ruiling Mad, Qi Wua and Lixiang Yana,b. (03/2026). arXiv. https://arxiv.org/abs/2603.20056v1
Large Language Models In Teaching And Learning: Reflections On Implementing An AI Chatbot In Higher Education
Fiammetta Caccavale, Carina L. Gargalo, Julian Kager, Magdalena Skowyra, Steen Larsen, Krist V. Gernaey, Ulrich Kruhne. (03/2026). arXiv. https://arxiv.org/abs/2603.17773v1
Explainability And Certification Of AI-Generated Educational Assessments
Antoun Yaacoub, Zainab Assaghir, Anuradha Kar. (03/2026). arXiv. https://arxiv.org/abs/2604.09622v1
Facet: Teacher-Centred LLM-Based Multi-Agent Systems- Towards Personalized Educational Worksheets
Jana Gonnermann-Muller, Jennifer Haase, Konstantin Fackeldey, Sebastian Pokutta. (03/2026). arXiv. https://arxiv.org/abs/2508.11401v4
Teachingcoach: A Fine-Tuned Scaffolding Chatbot For Instructional Guidance To Instructors
Isabel Molnar, Peiyu Li, Si Chen, Sugana Chawla, James Lang, Ronald Metoyer, Ting Hua, Nitesh V. Chawla. (03/2026). arXiv. https://arxiv.org/abs/2603.18189v1
Guide: Genai Units In Digital Design Education
Weihua Xiao, Jason Blocklove, Matthew DeLorenzo, Johann Knechtel, Ozgur Sinanoglu, Kanad Basu, Jeyavijayan Rajendran, Siddharth Garg, Ramesh Karri. (03/2026). arXiv. https://arxiv.org/abs/2603.17296v1
Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai
Dora Zhao, Hannah Cha, Michael J. Ryan, Angelina Wang, Rachel Baker-Ramos, Evyn-Bree Helekahi-Kaiwi, Rebecca Diego, Josiah Hester, Diyi Yang. (03/2026). arXiv. https://arxiv.org/abs/2603.16646v1
Criterion-Referenceability Determines LLM-As-A-Judge Validity Across Physics Assessment Formats
Will Yeadon, Tom Hardy, Paul Mackay, and Elise Agra. (03/2026). arXiv. https://arxiv.org/abs/2603.14732v1
The Rigid Framework: Research-Integrated, Generative AI-Mediated Instructional Design
Yerin Kwak, Zachary A. Pardos. (03/2026). arXiv. https://arxiv.org/abs/2603.12781v1
Generative AI Technologies And Educational Outcomes: A Comprehensive Meta-Analysis Comparing Traditional And AI-Driven Approaches
Ying Dong. (03/2026). Humanities and Social Sciences Communications. https://www.nature.com/articles/s41599-026-06903-y
The Future Of Feedback: How Can AI Help Transform Feedback To Be More Engaging, Effective, And Scalable?
Jennifer Meyer, Olaf Kuller, Thorben Jansen, Johanna Fleckenstein, Michael W. Asher, Sarah Bichler, Laura Brandl, Jasmin Breitwieser, Kai S. Cortina, Mutlu Cukurova, Martin Daumiller, Hannah Deininger, Frank Fischer, Dragan Gasevic, Jeanine Grutter, Anna Hilz, Ioana Jivet, Jelena Jovanovic, Rene F. Kizilcec, Livia Kuklick, Marlit Annalena Lindner, Anastasiya Lipnevich, Ute Mertens, Detmar Meurers, Kou Murayama, Tanya Nazaretsky, Knut Neumann, Ernesto Panadero, Maciej Pankiewicz, Zachary A. Pardos, Chris Piech, Hannah Punjer, Nikol Rummel, Marlene Steinbach, Olga Viberg, Naomi Winstone. (03/2026). arXiv. https://arxiv.org/abs/2603.12463v1
Shiksha Copilot: Teacher-AI Collaboration For Curating And Customizing Lesson Plans In Low-Resource Schools
Deepak Varuvel Dennison, Bakhtawar Ahtisham, Kavyansh Chourasia, Nirmit Arora, Rahul Singh, Rene F. Kizilcec, Akshay Nambi, Tanuja Ganu, Aditya Vashistha. (03/2026). arXiv. https://arxiv.org/abs/2507.00456v3
Trace: AI-Assisted Assessment Of Collaborative Projects In Computer Science Education
Songmei Yu, Andrew Zagula. (03/2026). arXiv. https://arxiv.org/abs/2510.03998v3
Designing Culturally Aligned AI Systems For Social Good In Non-Western Contexts
Deepak Varuvel Dennison, Mohit Jain, Tanuja Ganu, Aditya Vashistha. (03/2026). arXiv. https://arxiv.org/abs/2509.16158v3
AI Misuse In Education Is A Measurement Problem: Toward A Learning Visibility Framework
Eduardo Davalos, Yike Zhang. (03/2026). arXiv. https://arxiv.org/abs/2603.07834v1
Bridging Moocs, Smart Teaching, And AI: A Decade Of Evolution Toward A Unified Pedagogy
Bo Yuan, Jiazi Hu. (03/2026). arXiv. https://arxiv.org/abs/2507.14266v2
