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Descriptive – Product Development
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 562
When Saying No Makes Better Videos: Designing Dual Gatekeeping For Pedagogically Grounded AI Content Creation
Yearim Kim, Injun Baek, Nojun Kwak. (08/2026). arXiv. https://arxiv.org/abs/2608.19812v2
Uniform And Accelerated Circular Motion With A Smartphone: A No-Code, AI-Generated Browser Laboratory
Josep Ll. Suner, Francisco M. Munoz-Perez, Juan C. Castro-Palacio, Juan A. Monsoriu, Martin Monteiro, Cecilia Stari, Arturo C. Martí. (08/2026). arXiv. https://arxiv.org/abs/2607.28352v2
When LLMs Slow Down: How Environmental Impacts Mediate University Students'LLM Usage
Hyeonwook Kim, Xuesi Chen, Alex Cabral, Cindy Kaiying Lin, Udit Gupta, Josiah Hester. (08/2026). arXiv. https://arxiv.org/abs/2608.23968v1
When LLMs Slow Down: How Environmental Impacts Mediate University Students' LLM Usage
Hyeonwook Kim, Xuesi Chen, Alex Cabral, Cindy Kaiying Lin, Udit Gupta, Josiah Hester. (08/2026). arXiv. https://arxiv.org/abs/2608.23968v1
Security Education In Higher Education Through AI-Powered Gamification
Bingjun Li, Christopher Buzaid, Weihao Qu. (08/2026). arXiv. https://arxiv.org/abs/2608.24778v1
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
Cyberagents: Structured Autonomy For Agentic Gamified Learning In Cybersecurity
Ivan Hornung, Deepthi Marasinghe Arachchige, Tharindu Kumarage, Garima Agrawal, Yuli Deng, Ying-Chih Chen, Huan Liu. (08/2026). arXiv. https://arxiv.org/abs/2608.07965v1
Curriculum As Code: An AI-Assisted Architecture For Instructional Design In STEM Education
Henrique Mohallem Paiva. (08/2026). arXiv. https://arxiv.org/abs/2608.07364v1
Instructional Governance By Design: A Framework For AI In Computing Education
Ethan Dickey. (08/2026). arXiv. https://arxiv.org/abs/2609.26098v1
The Theoretical Foundation Of Socratic Tests: Dynamic, Multimodal, Conversational Examinations
Ilya Mikhelson. (07/2026). arXiv. https://arxiv.org/abs/2607.29624v1
Human-LLM Collaborative Inductive Coding For Conceptualizing K-12 Educator AI Use
Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He. (07/2026). arXiv. https://arxiv.org/abs/2607.28889v1
Beyond Direct Answering: Aligning Educational LLMs As Socratic Guides Via Heuristic Reinforcement Learning
Xiaokun Wang, Siyu Song, Wentao Liu, Xiaodong Zou. (07/2026). arXiv. https://arxiv.org/abs/2607.22996v1
Teachy Mini: Development And Preliminary Evaluation Of A Knowledge-Based Generative Social Robot For Higher Education
Stephan Vonschallen, Karim Kaufmann, Dominique Oberle, Friederike Eyssel, Theresa Schmiedel. (07/2026). arXiv. https://arxiv.org/abs/2607.22345v1
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
How Well Does AI-Generated Feedback Work? Intrinsic And Extrinsic Evaluation Across More Than 20,000 Efl Essay Drafts
Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Machi Shimmei, Michael Zock, Keisuke Sakaguchi, Kentaro Inui. (07/2026). arXiv. https://arxiv.org/abs/2607.14591v1
Measuring How Students Rely On Generative AI In Academic Writing: Development And Multi-Source Validation Of The Generative AI Reliance Types Scale (Genai-Rts)
Shahin Hossain, Tukhbita Afroz Nawmi. (07/2026). arXiv. https://arxiv.org/abs/2607.14301v1
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
Generative AI In Higher Education Laboratory Learning: A Qualitative Case Study Of Epistemic Scaffolding And Assessment Boundaries
Matteo Tuveri, Alessandro Riggio. (07/2026). arXiv. https://arxiv.org/abs/2607.11417v1
Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding For LLM Agents
Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton Deweese, Pamela J. Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma, Gautam Biswas. (07/2026). arXiv. https://arxiv.org/abs/2602.01415v5
Indirect And Direct AI Scaffolding For Computational Problem Posing: A Pilot Experience Report
Shayla Sharmin, Mohammad Fahim Abrar, Mohammad Al-Ratrout, Roghayeh Leila Barmaki. (07/2026). arXiv. https://arxiv.org/abs/2607.09628v1
Knowledge-Based Design Requirements For Generative Social Robots In Higher Education
S. Vonschallen, D. Oberle, T. Schmiedel, F. Eyssel. (07/2026). arXiv. https://arxiv.org/abs/2602.12873v5
Flowcode: An AI-Powered Programming Environment For Scaffolding Iteration In Creative Computing Education
Tiffany Tseng, Liliana Hanem Seoror, Jeevika Adda, Meitalia Factor, Rona Darabi, Kiley R Matschke, Tiffany Fu, Annie Lin, Alekhya Maram, Arya Sinha. (07/2026). arXiv. https://arxiv.org/abs/2607.06721v1
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
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
