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Descriptive – Implementation and Use
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 476
How University Disability Services Professionals Write Image Descriptions For Hci Figures Using Generative AI
Muhammad Raees, Yugo Iwamoto, Konstantinos Papangelis, Jamison Heard, Garreth W. Tigwell. (09/2026). arXiv. https://arxiv.org/abs/2602.08937v2
When Evaluators Cry Wolf: Lessons From Production LLM-As-Judge Evaluation In Educational AI
Chris Rohlfs, Rodrigo Vergara Bosse, Priscilla Rain Hopper, Keanon O'Keefe, Patrick Russell. (09/2026). arXiv. https://arxiv.org/abs/2609.28478v2
Three Pathways Of Student-AI Interaction: Constraint-First Design For Higher-Order Thinking
Fatima T. Zahra. (09/2026). arXiv. https://arxiv.org/abs/2610.00338v1
Fairness Theatre: Evaluating Post-Hoc Fairness Interventions In Vendor-Controlled Early Warning Systems
Kelly McConvey, Angelina Zhai, Rebecca Li, Shion Guha. (09/2026). arXiv. https://arxiv.org/abs/2609.38552v1
Critical Thinking With Generative AI: A Constraint-First Design Pilot Of A Thinking-Partner Intervention
Fatima Tuz Zahra, Jiangen He, David M. Bowers, Wei Wang. (09/2026). arXiv. https://arxiv.org/abs/2609.38029v1
"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
Making The Invisible Visible: A Framework For Reflective AI Use In Software Engineering Education
Ali Shakiba, Thomas Chaffey. (09/2026). arXiv. https://arxiv.org/abs/2609.34997v1
"We'Ll Fix It Later": Education, AI, And The Deferral Of Privacy In EdTech
Meghna Manoj Nair, Rachel Greenstadt. (09/2026). arXiv. https://arxiv.org/abs/2609.28137v1
Towards Synergistic Teacher-AI Interactions With Generative Artificial Intelligence
Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou, Sahan Bulathwela. (09/2026). arXiv. https://arxiv.org/abs/2511.19580v2
A Workshop Series For Effective Use Of AI In Uncertain Times: Building A Physics Faculty Learning Community
David Perl-Nussbaum, Noah D. Finkelstein. (09/2026). arXiv. https://arxiv.org/abs/2609.23887v1
AI-Assisted Assessment Of Experimental Physics Laboratory Reports: Potential, Limitations, And Support For Teaching Practice
Marcos Abreu, Cecilia Stari, Arturo C. Marti. (09/2026). arXiv. https://arxiv.org/abs/2609.22417v1
AI-Written Admissions Essays Are Widespread But Penalized
Calvin Isley, Johann D. Gaebler, Sharad Goel. (09/2026). arXiv. https://arxiv.org/abs/2609.22549v1
Artificial Intelligence Driven Physics Assignments Using Context Prompts
Miguel Rodriguez, Peter Wulff. (09/2026). arXiv. https://arxiv.org/abs/2609.22578v1
Mathematics Graduate Training In The Age Of AI
David Glickenstein. (09/2026). arXiv. https://arxiv.org/abs/2609.21132v1
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
I Code Or AI Code: A Comparative Evaluation Of AI-Rated Scores In Classroom Observations
Yasmin Fong, Jane Xiang, Tak-Yue Dickson Chan, Kerry Lee, Eva Yi Hung Lau. (09/2026). arXiv. https://arxiv.org/abs/2609.18274v1
Human Resilience In The AI Era -- What Machines Can'T Replace
Shaoshan Liu, Anina Schwarzenbach, Yiyu Shi. (09/2026). arXiv. https://arxiv.org/abs/2510.25218v2
Exploring K-12 Teachers' Perceptions Of Students' Relationships With AI Companions: Boundaries, Intervention Strategies, And Design Implications
Qing Xiao, Wenhan Xie, Ziyu Deng, Ruiwei Xiao, Ziyue Feng, Xie He, Shiyu Zhang, John Stamper, Hong Shen, Xinying Hou. (09/2026). arXiv. https://arxiv.org/abs/2609.13479v1
Embedded Human-Centered Data Science In A Graduate Programming Course: A Framework And Case Study
Victoria Chui, Kelly McConvey, Daniel Chui, Malayna Bernstein, Shion Guha. (09/2026). arXiv. https://arxiv.org/abs/2609.08982v1
Flawed But Memorable: Student Critical Reception Of Interest-Personalized Genai Analogies In Computing Education
Seth Bernstein, Naaz Sibia. (09/2026). arXiv. https://arxiv.org/abs/2609.06095v1
A Human-In-The-Loop Framework For AI-Assisted Scoring In Large-Scale Writing Assessment
María Eugenia Curi, German Capdehourat, Isabel Amigo, Magdalena Romano, Rosana Serra, Adrian Silveira, Andres Peri. (09/2026). arXiv. https://arxiv.org/abs/2609.05143v1
AI In Particle Physics Education: Research Problems And Foundational Skills
M. Mikhasenko, M. Stahl, I. Segal, D. Parmar, A. Zimmer, A. Kazatsky. (09/2026). arXiv. https://arxiv.org/abs/2609.05719v1
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
From Misconceptions To Evidence: What Science Teachers Make Visible When Co-Designing Agentic Learning Apps
Nizam Kadir, Liow Wei Ting, Sumbul Khan, Ang Lay Kee. (09/2026). arXiv. https://arxiv.org/abs/2609.03917v1
Practical Implementation Report On Introducing Spec-Driven Development Using AI Agents In Software Development Pbl
Hidetake Tanaka, Hiroshi Igaki, Kazumasa Shimari, Kiyoshi Honda, Naoki Fukuyasu. (08/2026). arXiv. https://arxiv.org/abs/2608.30572v1
A Guided Inquiry Approach To Students Co-Designing Generative AI Course Policies
Ashish Hingle, Aditya Johri. (08/2026). arXiv. https://arxiv.org/abs/2608.28501v1
Who Will Become The Next Senior? How Generative AI Erodes The Development Pathway In Software Engineering
Sumin Yu, Taesup Moon. (08/2026). arXiv. https://arxiv.org/abs/2607.17067v3
