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Studies tagged with AI from their full text or abstract; see each study for details.

Showing 31 - 60 of 260 studies

Developing An LLM-Based Feedback System Grounded In Evidence-Centered Design To Support Physics Problem Solving

Holger Maus, Fabian Kieser, Stefan Petersen, Peter Wulff, Paul Tschisgale. (07/2026). arXiv. https://arxiv.org/abs/2512.10785v3
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
Teaching Students To Question The Machine: Short-Term Effects Of An AI Literacy Workshop On Middle-School Students' Regulation Of LLM Interaction

Olivier Clerc, Rania Abdelghani, Chloé Desvaux, Eliott Poisson, Pierre-Yves Oudeyer, Helene Sauzeon. (06/2026). arXiv. https://arxiv.org/abs/2604.01955v3
LLM-Generated Summaries For Teachers: A Randomized Field Experiment In A Digital Learning Platform

Wen-Chiang Lim, Eamon Worden, Adam Sales, Neil Heffernan. (06/2026). Proceedings of the 13th ACM Conference on Learning @ Scale (L@S ’26). https://dl.acm.org/doi/10.1145/3774398.3811606
Implementing Genai-Supported Learning In Software Engineering And Computer Science Education Using Bloom'S Taxonomy

Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Leyla Memmedova, Huseyn Mirzayev. (06/2026). arXiv. https://arxiv.org/abs/2606.27398v1
The Impact Of Generative Artificial Intelligence On Academic Development Of Chinese Students In Humanities And Social Sciences

Lei Fan, Fangxue Liu. (06/2026). arXiv. https://arxiv.org/abs/2606.24104v1
Students' Perception Accuracy Of Partners' AI Use And Its Relation To Collaboration Performance

Laura Graf, Ramona Beinstingel, Stephan Krusche, Oleksandra Poquet. (06/2026). arXiv. https://arxiv.org/abs/2606.23237v1
Supporting Tutors In The Gig Economy With Automated Feedback: A Case Study On Ringle

Yeon Su Park, Sieun Kim, Keighley Overbay, Seoyoung Kim, Sewook Wee, Daho Jung, Juho Kim. (06/2026). arXiv. https://arxiv.org/abs/2606.22609v1
Engagement Intensity As A Learner-Modeling Signal For Adaptive AI Ethics Instruction

Yongkyung Oh, Lynn Talton, Alex Bui. (06/2026). arXiv. https://arxiv.org/abs/2606.18548v1
Using AI In Engineering Education: A Balancing Act, Driven By Clear Purpose

Olya Kudina. (06/2026). arXiv. https://arxiv.org/abs/2606.16626v1
Beyond Models: Reflections On Engineering AI-Enabled Systems In A Project-Based Course

Amir Mashmool, Kishan Ravindra Sawant, Mojtaba Shahin, Nico Hochgeschwender, and Rainer Koschke. (06/2026). arXiv. https://arxiv.org/abs/2606.16842v1
Trust And Reliance On AI In Education: AI Literacy And Need For Cognition As Moderators

Griffin Pitts, Neha Rani, Weedguet Mildort. (06/2026). arXiv. https://arxiv.org/abs/2604.01114v3
Detective Scaffolding For Within-Session Reasoning Development: A Three-Phase Framework Evaluated In Polymer Engineering And Pre-University Outreach

Haolin Feng, Holly Barrett, Xinru Deng, Dimitrios G. Papageorgiou, Yiwei Sun. (06/2026). arXiv. https://arxiv.org/abs/2606.07279v1
AI Diffusion Gaps: Unequal Integration of AI Across K-12 School

Christopher Campos, John D. Singleton. (06/2026). NBER. https://www.nber.org/papers/w35347
Multi-Level Barriers To Generative AI Adoption Across Disciplines And Professional Roles In Higher Education

Jianhua Yang, Kerem Oge, Adrian von Muhlenen, Abdullah Bilal Akbulut, Tanya Suzanne Carey, Chidi Okorro. (05/2026). arXiv. https://arxiv.org/abs/2603.27052v3
Practitioner Beliefs And Behaviors In AI-Enhanced Education: Dot Framework Survey Evidence

David C Gibson, Mary Elizabeth Azukas, Gerald Knezek. (05/2026). arXiv. https://arxiv.org/abs/2605.29041v1
Prediction Model Of Motivators And Demotivators Of Integrating Large Language Models In Software Engineering Education: An Empirical Study

Maryam Khan, Muhammad Azeem Akbar, Jussi Kasurinen, Estefanía Martín-Barroso. (05/2026). arXiv. https://arxiv.org/abs/2605.09393v3
Combating Harms Of Generative AI In Cs1 With Code Review Interviews And A Flipped Classroom

Peter Fowles, Erik Falor, Sulove Bhattarai, John Edwards, Seth Poulsen. (05/2026). arXiv. https://arxiv.org/abs/2605.21374v1
Gender Differences In AI Literacy Workshop Outcomes And Deepfake Engagement

Jake Renzella, Christian Bergh, Natasha Banks, Alexandra Vassar. (05/2026). arXiv. https://arxiv.org/abs/2606.14718v1
Generative AI Practices, Literacy, And Divides: An Empirical Analysis In The Italian Context

Beatrice Savoldi, Giuseppe Attanasio, Olga Gorodetskaya, Marta Marchiori Manerba, Elisa Bassignana, Silvia Casola, Matteo Negri, Tommaso Caselli, Luisa Bentivogli, Alan Ramponi, Arianna Muti, Nicoletta Balbo, Debora Nozza. (05/2026). arXiv. https://arxiv.org/abs/2512.03671v2
Faculty Orientations Shape Adoption Of AI In Research And Teaching

T. J. Atherton, Ian Descamps, M. Webel, Tova Ray Holmes, C. L. Vizcarra, N. Sui, Jonathan Joseph Foley. (05/2026). arXiv. https://arxiv.org/abs/2605.18140v1
Knowing The Rules Is Not Enough: Student Regulatory Awareness And Use Of Genai In Higher Education

Lasse Bischof, Eva-Maria Schön, Maria Rauschenberger, Michael Neumann. (05/2026). arXiv. https://arxiv.org/abs/2606.12436v1
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
Examining University Students' Artificial Intelligence-Generated Content (Aigc) Verification Intention From A Protection Motivation Perspective

Yiran Du. (05/2026). arXiv. https://arxiv.org/abs/2605.16642v1
AI-Generated Slides: Are They Good? Can Students Tell?

Juho Leinonen, Lisa Zhang, Arto Hellas. (05/2026). arXiv. https://arxiv.org/abs/2605.13532v1
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
An Explainable AI Assistant For Introductory Programming Education: Improving Feedback Reliability With Instructor-AI Collaboration

Muntasir Hoq, Griffin Pitts, Bradford Mott, Seung Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James Lester, Bita Akram. (05/2026). arXiv. https://arxiv.org/abs/2606.12425v1
AI-Automation Tooling In Computer Engineering Education: Mixed-Methods Tam/Utaut Evidence For A General Acceptance Attitude

Aung Pyae. (05/2026). arXiv. https://arxiv.org/abs/2606.12424v1
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, Rene F. Kizilcec. (05/2026). arXiv. https://arxiv.org/abs/2605.08486v1
Vibe Coding Before The Trend: Practitioner Reflections On AI-Assisted Programming Across Four Student Cohorts

Leon van Bokhorst, Koen Suilen. (05/2026). arXiv. https://arxiv.org/abs/2605.07751v1