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Descriptive – Implementation and Use
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 151 - 180 of 476
Offline-First LLM Architecture For Adaptive Learning In Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona. (04/2026). arXiv. https://arxiv.org/abs/2603.03339v5
Exploring Teachers' Perspectives On Using Conversational AI Agents For Group Collaboration
Prerna Ravi, Carumey Stevens, Beatriz Flamia Azevedo, Jasmine David, Brandon Hanks, Hal Abelson, Grace Lin, and Emma Anderson. (04/2026). arXiv. https://arxiv.org/abs/2602.07142v2
Teaching Astronomy With Large Language Models
Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv. https://arxiv.org/abs/2506.06921v2
Amplifying Rural Educators' Perspectives: A Qualitative Study On The Impacts Of Generative AI In Rural U.S. High Schools
Shira Michel, Benjamin Taylor, Sabrina Parra Diaz, Joseph B. Wiggins, Ed Finn, Mahsan Nourani. (04/2026). arXiv. https://arxiv.org/abs/2604.03542v1
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
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
How Motivation Relates To Generative AI Use: A Large-Scale Survey Of Mexican High School Students
Echo Zexuan Pan, Danny Glick, Ying Xu. (04/2026). arXiv. https://arxiv.org/abs/2603.19263v2
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
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
Exploring Student Perception On Gen AI Adoption In Higher Education: A Descriptive Study
Harpreet Singh, Jaspreet Singh, Satwant Singh, Rupinder Singh, Shamim Ibne Shahid, Mohammad Hassan Tayarani Najaran. (03/2026). arXiv. https://arxiv.org/abs/2603.27777v1
Learning To Program Alongside AI: Critical Thinking, AI Ethics, And Gendered Patterns Of German Secondary School Students
Isabella Graßl. (03/2026). arXiv. https://arxiv.org/abs/2603.24197v2
"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
A Human-Centered Approach To Ethical AI Education In Underresourced Secondary Schools
Valentina Kuskova, Sonia Howell, Brianna Stines, and Brianna Conaghan. (03/2026). arXiv. https://arxiv.org/abs/2603.26004v1
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
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
Three Years With Classroom AI In Introductory Programming: Shifts In Student Awareness, Interaction, And Performance
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Atsushi Shimada, and Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22672v1
Reflected: Evaluating Reflection-Driven Learning In An AI-Assisted System
Md Nazmus Sakib, Ishika Tarin, Naga Manogna Rayasam, Manas Gaur, Sanorita Dey. (03/2026). arXiv. https://arxiv.org/abs/2512.24632v2
Towards An AI Buddy For Every University Student? Exploring Students' Experiences, Attitudes And Motivations Towards AI And AI-Based Study Companions
Judit Martínez Moreno, Markus Christen, Abraham Bernstein. (03/2026). arXiv. https://arxiv.org/abs/2603.20909v1
AI In Work-Based Learning: Understanding The Purposes And Effects Of Intelligent Tools Among Student Interns
John Paul P. Miranda, Rhiziel P. Manalese, Sheila M. Geronimo, Vernon Grace M. Maniago, Charlie K. Padilla, Aileen P. De Leon, Santa L. Merle, Mark Anthony A. Castro. (03/2026). arXiv. https://arxiv.org/abs/2603.28786v1
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
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
Explainability And Certification Of AI-Generated Educational Assessments
Antoun Yaacoub, Zainab Assaghir, Anuradha Kar. (03/2026). arXiv. https://arxiv.org/abs/2604.09622v1
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
Teaching Agile Requirements Engineering: A Stakeholder Simulation With Generative AI
Eva-Maria Schon, Michael Neumann, Tiago Silva da Silva. (03/2026). arXiv. https://arxiv.org/abs/2603.12925v1
Auditing Student-Ai Collaboration: A Case Study Of Online Graduate CS Students
Nifu Dan. (03/2026). arXiv. https://arxiv.org/abs/2601.08697v4
Scalable Classification Of Course Information Sheets Using Large Language Models: A Reusable Institutional Method For Academic Quality Assurance
Brecht Verbeken, Joke Van den Broeck, Inge De Cleyn, Steven Van Luchene, Nadine Engels, Andres Algaba, Vincent Ginis. (03/2026). arXiv. https://arxiv.org/abs/2603.13562v1
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
Investigating Student Perceptions Of Creativity And Generative AI In Computational Physics
Pachi Her and Patti Hamerski. (03/2026). arXiv. https://arxiv.org/abs/2603.12154v1
Scaling Laws For Educational AI Agents
Mengsong Wu, Hao Hao, Shuzhen Bi, Keqian Li, Wentao Liu, Siyu Song, Hongbo Zhao, and Aimin Zhou. (03/2026). arXiv. https://arxiv.org/abs/2603.11709v1
