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:
Student
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 151 - 180 of 1118
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
Psychological Determinants Of Academic Integrity In The Use Of Generative AI In Higher Education
Ezgi Dagtekin, Ercan Erkalkan. (07/2026). arXiv. https://arxiv.org/abs/2608.14605v1
Reflective Dialogue Or Prompt Refinement? Effects Of Tutor Scaffolding On Students' ndependent LLM Use For Programming
Jérôme Brender, Laila El-Hamamsy, Kim Uittenhove, Aitor Perez, Patrick Jermann, Francesco Mondada, Engin Bumbacher. (07/2026). arXiv. https://arxiv.org/abs/2607.03303v1
Reflective Dialogue or Prompt Refinement? Effects of Tutor Scaffolding on Students' Independent LLM Use for Programming
Jérôme Brender, Laila El-Hamamsy, Kim Uittenhove, Aitor Perez, Patrick Jermann, Francesco Mondada, Engin Bumbacher. (07/2026). arXiv. https://arxiv.org/abs/2607.03303v1
From Answer Generators To Reasoning Facilitators: Designing AI Tutors For Mathematical Reasoning In High-Stakes Environments
Harry Feng, Yuan Tian, Erica Zhao. (07/2026). arXiv. https://arxiv.org/abs/2607.01692v1
Assessment Design In The Genai Era: The X1-X2-X3 Assessment Pattern For Testing Students' AI Literacy, Learning Outcomes, And Reflection
Riasat Islam, Thomas Roelleke. (07/2026). arXiv. https://arxiv.org/abs/2608.12351v1
The Generative AI Learning Penalty: Evidence from Chinese Secondary Education
David Stromberg, Victor Lei, Yanhui Wu. (07/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6868618
Child Safety In Generative AI: An Expert-Guided And Incident-Grounded Evaluation Framework
Haein Kong. (07/2026). arXiv. https://arxiv.org/abs/2607.00395v1
Let’s Chat: Leveraging Chatbot Outreach for Improved Course Performance
Katharine E. Meyer, Lindsay C. Page, Catherine Mata, Eric Smith, Brendan Tyler Walsh, Candice L. Fifield, Michelle Tyson, Amy E. Eremionkhale, Michael Evans, Shelby Frost, Eye Eoun Jung. (07/2026). NBER. https://www.nber.org/papers/w35397?utm_campaign=ntwh&utm_medium=email&utm_sourc…
To Tab Or Not To Tab: Measuring Critical Engagement In AI Code Completion Tools Using Behavioral Signals And Attention Checks
Jessica Hutchison, Ian Tyler Applebaum, Kenneth Angelikas, Kush Rakesh Patel, Phuoc Nguyen, Antonio Lazaro, Nicholas Rucinski, Rahad Arman Nabid, Stephen MacNeil. (06/2026). arXiv. https://arxiv.org/abs/2606.30549v1
Teaching Students To Question The Machine: Short-Term Effects Of An AI Literacy Workshop On Middle-School Students' Regulation Of LLM Interaction
Olivier Clerc, Rania Abdelghani, Chloé Desvaux, Eliott Poisson, Pierre-Yves Oudeyer, Helene Sauzeon. (06/2026). arXiv. https://arxiv.org/abs/2604.01955v3
Comparing Teacher And AI-Generated Feedback In The Writing Classroom: Experimental Results From Secondary School Classrooms
Jennifer Meyer, Marlene Steinbach, Ronja Schiller, Ute Mertens, Nils-Jonathan Schaller, Andrea Horbach, Johanna Fleckenstein, Olaf K‚àö‚àÇller, Rene F. Kizilcec, Thorben Jansen. (06/2026). Proceedings of the 13th ACM Conference on Learning @ Scale (L@S ’26). https://dl.acm.org/doi/10.1145/3774398.3811602
Llmography: Transforming Human-AI Conversations Into Traceability, Oversight, And Auditability Indicators
Mohammed Bousmah. (06/2026). arXiv. https://arxiv.org/abs/2606.29437v1
AI In The Wild: A Large Scale Analysis Of Authentic Interactions Of College Students With Generative AI
Taelin Karidi, Ofra Amir, Ido Roll. (06/2026). arXiv. https://arxiv.org/abs/2606.29442v1
Exploring The Value Of Diverse LLM Explanations In Introductory Programming
Seth Bernstein, Paul Denny, Juho Leinonen, Kush Patel, Rayhona Nasimova, Matt Littlefield, Stephen MacNeil. (06/2026). arXiv. https://arxiv.org/abs/2606.28882v1
Arapai: An Offline-First LLM Architecture For Adaptive Learning In Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, and Keith Ainebyona. (06/2026). arXiv. https://arxiv.org/abs/2603.03339v7
An Empirical Study To Understand How Students Use ChatGPT For Writing Essays
Andrew Jelson, Daniel Manesh, Alice Jang, Daniel Dunlap, Young-Ho Kim, Sang Won Lee. (06/2026). arXiv. https://arxiv.org/abs/2501.10551v5
Implementing Genai-Supported Learning In Software Engineering And Computer Science Education Using Bloom'S Taxonomy
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Leyla Memmedova, Huseyn Mirzayev. (06/2026). arXiv. https://arxiv.org/abs/2606.27398v1
The Effortless Trap: Productive Struggle, AI, And The Illusion Of Learning
Mario Brcic, Stjepan Frljic. (06/2026). arXiv. https://arxiv.org/abs/2606.26181v1
The Impact Of Generative Artificial Intelligence On Academic Development Of Chinese Students In Humanities And Social Sciences
Lei Fan, Fangxue Liu. (06/2026). arXiv. https://arxiv.org/abs/2606.24104v1
LecturaRaagents: A Multi-Agent Framework For Adaptive Personalized AI-Assisted Learning And Embodied Teaching
Jaward Sesay, Yue Yu, Siwei Dong, Guangyao Chen, Börje F. Karlsson. (06/2026). arXiv. https://arxiv.org/abs/2606.16428v2
Analyzing Students' Statistics Writing Before And After The Emergence Of Large Language Models
Sara Colando, Erin Franke, Gordon Weinberg, Alex Reinhart. (06/2026). arXiv. https://arxiv.org/abs/2606.22735v1
AI-Assisted Help-Seeking Trajectories In Programming Education From An Srl-Informed Perspective
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, Shin'ichi Konomi. (06/2026). arXiv. https://arxiv.org/abs/2606.22809v1
Students' Perception Accuracy Of Partners' AI Use And Its Relation To Collaboration Performance
Laura Graf, Ramona Beinstingel, Stephan Krusche, Oleksandra Poquet. (06/2026). arXiv. https://arxiv.org/abs/2606.23237v1
Do Gains From Generative AI-Enabled Adaptive Pretesting Persist? Evidence From A Retention Study
Mahir Akgun, Sacip Toker. (06/2026). arXiv. https://arxiv.org/abs/2606.22328v1
Access is Not Enough: Human Support Improves Engagement with AI Tutoring
Carly D. Robinson, David Gormley, Ana Trindade Ribeiro, Susanna Loeb. (06/2026). EdWorking Papers. https://edworkingpapers.com/sites/default/files/ai26-1451.pdf
"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems
Hang Li, Fedor Filippov, Yuping Lin, Pengfei He, Kaiqi Yang, Yucheng Chu, Yingqian Cui, Hui Liu, Jiliang Tang. (06/2026). arXiv. https://arxiv.org/abs/2606.03090v2
The Creative Link Between Words and Ideas is Weakening in the AI Era
Kibum Moon, Kostadin Kushlev, Andrew Bank, Benjamin Lira, Indre Viskontas, James C. Kaufman, Dan R. Johnson, Angela L. Duckworth, Adam E. Green. (06/2026). PsyArXIV. https://osf.io/preprints/psyarxiv/jsz58_v6
Engagement Intensity As A Learner-Modeling Signal For Adaptive AI Ethics Instruction
Yongkyung Oh, Lynn Talton, Alex Bui. (06/2026). arXiv. https://arxiv.org/abs/2606.18548v1
