Repository Feedback
Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.
Submit a research study
Contribute to the repository:
Outcomes – Other Academic
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 511 - 540 of 864
SYSTEMATIC REVIEW OF COLLABORATIVE LEARNING ACTIVITIES FOR PROMOTING AI LITERACY
A Hingle, A Johri. (08/2025). arXiv. http://arxiv.org/pdf/2508.15111v1
Analyzing Undergraduate Problem-Solving in Physics Through Interaction With an AI Chatbot
Syed Furqan Abbas Hashmi, N. Sanjay Rebello. (08/2025). arXiv. http://arxiv.org/pdf/2508.14778v1
Dual-Role Dynamics in Prompting: Elementary Pre-service Teachers' AI Prompting Strategies for Representational Choices
Razan Hamed, Amogh Sirnoorkar, N. Sanjay Rebello. (08/2025). arXiv. http://arxiv.org/pdf/2508.14760v1
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design
Jiayi Wang, Ruiwei Xiao, Xinying Hou, John Stamper. (08/2025). arXiv. http://arxiv.org/pdf/2508.16659v1
Alvorada-Bench: Can Language Models Solve Brazilian University Entrance Exams?
Henrique Godoy. (08/2025). arXiv. http://arxiv.org/pdf/2508.15835v1
Breakable Machine: A K-12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)
Olli Hilke, Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Teemu Roos, Tuomo Parkki, Matti Tedre. (08/2025). arXiv. http://arxiv.org/pdf/2508.14201v1
Translating the Force Concept Inventory in the age of AI
Marina Babayeva, Justin Dunlap, Marie Sn_tinov‡, Ralf Widenhorn. (08/2025). arXiv. http://arxiv.org/pdf/2508.13908v1
Developing a ChatGPT-Based Tool for Physics Experiment Teaching
Yifeng Liu, Min Li, Zhaojun Zhang, Youkang Fang, Meibao Qin. (08/2025). arXiv. http://arxiv.org/pdf/2508.13011v1
Cognitive Structure Generation: From Educational Priors to Policy Optimization
Hengnian Gu, Zhifu Chen, Yuxin Chen, Jin Peng Zhou, Dongdai Zhou. (08/2025). arXiv. http://arxiv.org/pdf/2508.12647v1
PAPPL: Personalized AI-Powered Progressive Learning Platform
Shayan Bafandkar, Sungyong Chung, Homa Khosravian, Alireza Talebpour. (08/2025). arXiv. http://arxiv.org/pdf/2508.14109v1
Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
Johannes Schleiss, Anke Manukjan, Michelle Ines Bieber, Sebastian Lang, Sebastian Stober. (08/2025). arXiv. http://arxiv.org/pdf/2508.14921v1
Predicting ChatGPT Use in Assignments: Implications for AI-Aware Assessment Design
Surajit Das, Aleksei Eliseev. (08/2025). arXiv. http://arxiv.org/pdf/2508.12013v1
LEARN: A Story-Driven Layout-to-Image Generation Framework for STEM Instruction
Maoquan Zhang, Bisser Raytchev, Xiujuan Sun. (08/2025). arXiv. http://arxiv.org/pdf/2508.11153v1
Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
Bhavishya Tarun, Haoze Du, Dinesh Kannan, Dr. Edward F. Gehringer. (08/2025). arXiv. http://arxiv.org/pdf/2508.11062v1
Listening with Language Models: Using LLMs to Collect and Interpret Classroom Feedback
Sai Siddartha Maram, Ulia Zaman, Magy Seif El-Nasr. (08/2025). arXiv. http://arxiv.org/pdf/2508.11707v1
From Self-Crafted to Engineered Prompts: Student Evaluations of AI-Generated Feedback in Introductory Physics
Amogh Sirnoorkar, N. Sanjay Rebello. (08/2025). arXiv. http://arxiv.org/pdf/2508.09825v1
Next-Gen Education: Enhancing AI for Microlearning
Saha, S., Rahbari, F., Sadique, F., Velamakanni, S. K. C., Farooque, M., Rothwell, W. J.. (08/2025). arXiv. http://arxiv.org/pdf/2508.11704v1
Designing a Feedback-Driven Decision Support System for Dynamic Student Intervention
Timothy Oluwapelumi Adeyemi, Nadiah Fahad AlOtaibi. (08/2025). arXiv. http://arxiv.org/pdf/2508.07107v2
The Boiling-Frog Problem of Physics Education
Gerd Kortemeyer. (08/2025). arXiv. http://arxiv.org/pdf/2508.08842v1
Securing Educational LLMs: A Generalised Taxonomy of Attacks on LLMs and DREAD Risk Assessment
Farzana Zahid, Anjalika Sewwandi, Lee Brandon, Vimal Kumar, Roopak Sinha. (08/2025). arXiv. http://arxiv.org/pdf/2508.08629v1
CODAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation
Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael FŠrber. (08/2025). arXiv. http://arxiv.org/pdf/2508.08386v1
Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development
Sanjana Gautam, Mohit Chandra, Ankolika De, Tatiana Chakravorti, Girik Malik, Munmun De Choudhury. (08/2025). arXiv. http://arxiv.org/pdf/2508.06849v1
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
Calvin Isley, Joshua Gilbert, Evangelos Kassos, Michaela Kocher, Allen Nie, Emma Brunskill, Ben Domingue, Jake Hofman, Joscha Legewie, Teddy Svoronos, Charlotte Tuminelli, Sharad Goel. (08/2025). arXiv. http://arxiv.org/pdf/2508.08314v1
Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators
Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Ga_evic. (08/2025). arXiv. http://arxiv.org/pdf/2508.05952v1
SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research
Keyang Qian, Kaixun Yang, Wei Dai, Flora Jin,Yixin Cheng, Rui Guan, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Ga_evic. (08/2025). arXiv. http://arxiv.org/pdf/2508.05953v1
Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education
Xinming Yang, Haasil Pujara, Jun Li. (08/2025). arXiv. http://arxiv.org/pdf/2508.05979v1
Between Tool and Trouble: Student Attitudes Toward AI in Programming Education
Sergio Rojas-Galeano, Julian Tejada, Fernando Marmolejo-Ramos. (08/2025). arXiv. http://arxiv.org/pdf/2508.05999v1
From Cognitive Relief to Affective Engagement: An Empirical Comparison of AI Chatbots and Instructional Scaffolding in Physics Education
E. Becker, J. Wunsche, J. M. Veith, J. Schrader, P. Bitzenbauer. (08/2025). arXiv. http://arxiv.org/pdf/2508.06254v1
A Fuzzy Logic Prompting Framework for Large Language Models in Adaptive and Uncertain Tasks
Vanessa Figueiredo. (08/2025). arXiv. http://arxiv.org/pdf/2508.06754v1
Everything You Need to Know About CS Education: Open Results from a Survey of More Than 18,000 Participants
Katsiaryna Dzialets, Aleksandra Makeeva, Ilya Vlasov, Anna Potriasaeva, Aleksei Rostovskii, Yaroslav Golubev, Anastasiia Birillo. (08/2025). arXiv. http://arxiv.org/pdf/2508.05286v1
