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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 241 - 270 of 1118
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
Sycophancy Is An Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks
Enkelejda Kasneci, Gjergji Kasneci. (05/2026). arXiv. https://arxiv.org/abs/2605.14604v1
AI-Generated Slides: Are They Good? Can Students Tell?
Juho Leinonen, Lisa Zhang, Arto Hellas. (05/2026). arXiv. https://arxiv.org/abs/2605.13532v1
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
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
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
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
Performance And Failure Modes Of AI Chatbots On A Novel Concept Inventory On Relativity In Classical Mechanics
Eugenio TUFINO, Caterina GIOVANZANA, Andrea ZAMBONI, Pasquale ONORATO, Stefano OSS. (05/2026). arXiv. https://arxiv.org/abs/2605.09602v1
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
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
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
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
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
The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness
Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas, Juho Leinonen, John DeNero, and Narges Norouzi. (05/2026). arXiv. https://arxiv.org/abs/2605.05648v1
Who Designs The Designer? Behavioural Architecture For Genai In Education
Sepinoud Azimi. (05/2026). arXiv. https://arxiv.org/abs/2606.12416v1
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
Cognitive Twins: Investigating Personalized Thinking Model Building And Its Performance Enhancement With Human-In-The-Loop
Wu-Yuin Hwang, Nur Alif Ilyasa, Muhammad Irfan Luthfi, and Yuniar Indrihapsari. (05/2026). arXiv. https://arxiv.org/abs/2605.04761v1
The Pedagogy Of AI Mistakes: Fostering Higher-Order Thinking
Hadi Hosseini. (05/2026). arXiv. https://arxiv.org/abs/2605.05472v1
Alcofe: Implementation And Deployment Of An AI-Based Collaborative Feedback System For Higher Education
Alvaro Becerra, Alejandra Palma, Ruth Cobos. (05/2026). arXiv. https://arxiv.org/abs/2605.04740v1
Building AI Companions that Prioritise Learning over Performance
Hassan Khosravi, Dragan Gasevic, Shazia Sadiq, Lixiang Yan, Jason Lodge, Jason Tangen, Paul Denny, Kristen DiCerbo, Simon Buckingham Shum, Ryan S. Baker. (05/2026). arXiv. https://arxiv.org/abs/2605.04816
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
Dramaturgies Of Deception: AI Humanizers And The Performance Of Legitimacy In Higher Education Assessment: A Preprint
Jasper Roe, Mike Perkins, Peter Bannister, Leon Furze, James Wood. (05/2026). arXiv. https://arxiv.org/abs/2605.02649v1
Investigating The Effects Of Different Levels Of User Control In An Interactive Educational Recommender System
QURAT UL AIN, MOHAMED AMINE CHATTI, WILLIAM KANA TSOPLEFACK, RAWAA ALA TRASH, SHOEB JOARDER. (05/2026). arXiv. https://arxiv.org/abs/2605.01400v1
Encouraging productive struggle in the age of generative Al
Andrei Biswas and Rajagopal Venkatesaramani. (05/2026). Patterns. https://www.sciencedirect.com/science/article/pii/S2666389926000498
Pedagogical Promise And Peril Of AI: A Text Mining Analysis Of ChatGPT Research Discussions In Programming Education
Juvy C. Grume, John Paul P. Miranda, Aileen P. De Leon, Jordan L. Salenga, Hilene E. Hernandez, Mark Anthony A. Castro, Vernon Grace M. Maniago, Joel D. Canlas, Joel B. Quiambao. (05/2026). arXiv. https://arxiv.org/abs/2605.00361v1
