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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 121 - 150 of 898
"Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom
Caterina Fuligni, Daniel Dominguez Figaredo, Armanda Lewis, Julia Stoyanovich. (05/2026). arXiv. https://arxiv.org/abs/2503.02885v3
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
Generative AI And The Productivity Divide: Human AI Complementarities In Education And Knowledge Work (Working Paper)
Bharat Anand, Lihi Idan. (05/2026). arXiv. https://arxiv.org/abs/2605.18143v1
A Scoping Review Of Large Language Model-Based Pedagogical Agents
Shan Li, Juan Zheng. (05/2026). arXiv. https://arxiv.org/abs/2604.12253v2
ChatGPT Vs Teachers Vs Students: Large-Scale Analysis Of Generative AI Discourse In Education Communities On Reddit
Pelin Yuce, Xiangruo Dai, Rebecca Owens, Tugrulcan Elmas. (05/2026). arXiv. https://arxiv.org/abs/2605.17712v1
Addressing The Reality Gap: A Three-Tension Framework For Agentic AI Adoption
Jason Fournier, Kacper Łodzikowski. (05/2026). arXiv. https://arxiv.org/abs/2604.27245v2
Faculty Orientations Shape Adoption Of AI In Research And Teaching
T. J. Atherton, I. Descamps, M. Webel, T. R. Holmes, C. L. Vizcarra, N. Sui, J. J. Foley IV. (05/2026). arXiv. https://arxiv.org/abs/2605.18140v1
Teaching with Gemini: Measuring the impact of Guided Learning on student mathematics progress in Sierra Leone
LearnLM Team, Google & Fab AI. (05/2026). Google. https://storage.googleapis.com/deepmind-media/LearnLM/learnLM_sierraleone_may26…
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
Mapping AI Programs In The U.S: A Status Report From Early 2026 And An Analysis Of AI Majors And Minors
Felix Muzny, Carolyn Jones, Carter Ithier, Hasnain Sikora, Hrutika Harshadbhai Patel, Carla E. Brodley. (05/2026). arXiv. https://arxiv.org/abs/2606.12428v1
Agentic AI Ecosystems In Higher Education: A Perspective On AI Agents To Emerging Inclusive, Agentic Multi-Agent AI Framework For Learning, Teaching And Institutional Intelligence
Vidya K Sudarshan, Anushka Sisodia, Reshma A Ramachandra, Batra Sia, Josephine Chong Leng Leng. (05/2026). arXiv. https://arxiv.org/abs/2605.14266v1
AI-Generated Slides: Are They Good? Can Students Tell?
Juho Leinonen, Lisa Zhang, Arto Hellas. (05/2026). arXiv. https://arxiv.org/abs/2605.13532v1
Roboblockly Studio: Conversational Block Programming With Embodied Robot Feedback For Computational Thinking
Leyi Li, Chenyu Du, Jiafei Sun, Erick Purwanto, Qing Zhang. (05/2026). arXiv. https://arxiv.org/abs/2605.12059v1
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, and Bita Akram. (05/2026). arXiv. https://arxiv.org/abs/2606.12425v1
Generative AI For Visualizing Highway Construction Hazards Through Synthetic Images And Temporal Sequences
Trevor Neece, Mason Smetana, and Lev Khazanovich. (05/2026). arXiv. https://arxiv.org/abs/2605.11276v1
When Should Teachers Control AI Generation For Mathematics Visuals?
Zhengxu Li, Junling Wang, April Yi Wang. (05/2026). arXiv. https://arxiv.org/abs/2605.10672v1
Code Comprehension With Github Copilot: Performance Gains, Comprehension Trade-Offs, And Behavioral Predictors In Brownfield Programming
Yunhan Qiao, Md Istiak Hossain Shihab, Summit Haque, Christopher Hundhausen. (05/2026). arXiv. https://arxiv.org/abs/2511.02922v2
Temperature And Persona Shape LLM Agent Consensus With Minimal Accuracy Gains In Qualitative Coding
Conrad Borchers, Bahar Shahrokhian, Francesco Balzan, Elham Tajik, Sreecharan Sankaranarayanan, Sebastian Simon. (05/2026). arXiv. https://arxiv.org/abs/2507.11198v2
First, Do No Harm: AI Supervisor Scaffolds Novice Growth In Counselor Education
Chen Xu, Zhenyu Lyu, Tian Lan, Yang Yi, Yu Ji, Luyao Ji, Jian Shen, Zhihua Wang, Leyang Cui, Jieshuo Zhang, Xiaohua Wan, Qunxi Dong, Minqiang Yang, Juan Wang, Xiuling Liu, Bin Hu. (05/2026). arXiv. https://arxiv.org/abs/2508.09042v3
Preparing Students For AI-Powered Materials Discovery: A Workflow-Aligned Framework For AI Literacy, Equity, And Scientific Judgment
Dongming Mei, Katherine Moore, Ben Sayler. (05/2026). arXiv. https://arxiv.org/abs/2605.09624v1
Who Decides In AI-Mediated Learning?: The Agency Allocation Framework
Conrad Borchers, Olga Viberg, René F. Kizilcec. (05/2026). arXiv. https://arxiv.org/abs/2604.13534v2
AI Expert Twin: Capturing Expert Cognition For Human-Centred, Practice-Based Learning
Annie Yuan, Xiaohua Chen, Kalina Yacef, Judy Kay. (05/2026). arXiv. https://arxiv.org/abs/2605.01401v2
Can Providing Feedback On Gaze And Mental-Effort Synchrony Improve Pair Programming Performance?
Anahita Golrang, Kshitij Sharma. (05/2026). arXiv. https://arxiv.org/abs/2605.05836v1
Taklif.AI: LLM-Powered Platform For Interest-Based Personalized College Assignments
Zaki Kurdya, Mohammed Zuqlam, Salem Amassi, Shady Telbany, Motaz Saad. (05/2026). arXiv. https://arxiv.org/abs/2605.05842v1
Learnmate^2: Design And Evaluation Of An LLM-Powered Personalized And Adaptive Support System For Online Learning
Xinyu Jessica Wang, Christine P Lee, Bilge Mutlu. (05/2026). arXiv. https://arxiv.org/abs/2605.06257v1
From Surface Learning To Deep Understanding: A Grounded AI Tutoring System For Moodle
Anna Ostrowska, Michał Kukla, Gabriela Majstrak, Jan Opala, Sebastian Pergała, Jan Skwarek, Anna Wroblewska ´. (05/2026). arXiv. https://arxiv.org/abs/2605.06963v1
Aissa: Implementation And Deployment Of An AI-Based Student Slides Analysis Tool For Academic Presentations
Alvaro Becerra, Diego Gomez and Ruth Cobos. (05/2026). arXiv. https://arxiv.org/abs/2605.04729v1
Lata: A Drop-In, Ferpa-Compliant Local-LLM Autograder For Upper-Division STEM Coursework
Jesse A. Rodríguez. (05/2026). arXiv. https://arxiv.org/abs/2605.05410v1
A Meta-Analysis Of The Effect Of Generative AI On Productivity And Learning In Programming
Sebastian Maier, Moritz Gunzenhäuser, Jonas Schweisthal, Manuel Schneider, Stefan Feuerriegel. (05/2026). arXiv. https://arxiv.org/abs/2605.04779v1
