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Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 61 - 90 of 1108
LLM-As-A-Judge Validity In Physics Assessment Depends More On The Task Than The Model
Will Yeadon, Tom Hardy, Paul Mackay, and Elise Agra. (06/2026). arXiv. https://arxiv.org/abs/2603.14732v2
Evaluating Interactivity: Toward Automated Assessment Of AI-Generated Explorable Explanations
Xiaozao Wang, Zhewei Wang, Hongyi Wen. (06/2026). arXiv. https://arxiv.org/abs/2606.31012v1
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
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
The Effortless Trap: Productive Struggle, AI, And The Illusion Of Learning
Mario Brcic, Stjepan Frljic. (06/2026). arXiv. https://arxiv.org/abs/2606.26181v1
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 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
AI-Driven Analytics Of Team-Teaching Talk: Acoustic Patterns Across Experience, Cohorts And The Learning Design
Yuchen Liu, Roberto Martinez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu, Sadia Nawaz. (06/2026). arXiv. https://arxiv.org/abs/2606.09831v2
Exploring The Potential Of ChatGPT For Feedback And Evaluation In Experimental Physics
Marcos Abreu, Alvaro Suarez, Cecilia Stari, Arturo C. Marti. (06/2026). arXiv. https://arxiv.org/abs/2603.20412v2
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
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
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
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
Sycophantic AI makes human interaction feel more effortful and less satisfying over time
Lujain Ibrahim, Franziska Sofia Hafner, Myra Cheng, Cinoo Lee, Rebecca Anselmetti, Robb Willer, Luc Rocher, Diyi Yang. (06/2026). arXiv. https://arxiv.org/abs/2605.07912
"**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
LLM-As-Judge In Education: A Curriculum-Grounded Marking Pipeline
Xiwei Xu, Chen Wang, Jacky Jiang, Phil Yang, Qian Fu, Mohan Dhall, Wenjie Zhang, Liming Zhu. (06/2026). arXiv. https://arxiv.org/abs/2606.17507v1
Analytics For Quality Assurance For Item Pools (Aquap): Monitoring And Maintaining Item Bank Health In AI-Driven Assessment Systems
Alina A. von Davier, Xiaowan Zhang, Yigal Attali, Yena Park, Jacqueline Church, Andrew Runge, Geoff LaFlair, Alexander Tsigler. (06/2026). arXiv. https://arxiv.org/abs/2606.18536v1
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
Using AI In Engineering Education: A Balancing Act, Driven By Clear Purpose
Olya Kudina. (06/2026). arXiv. https://arxiv.org/abs/2606.16626v1
What LLMs Must Forget To Teach Effectively A Diy Approach To Premodern Japanese Language Pedagogy
Ariel Stilerman, Andrew Nelson, Alan Cheng, Caleb Langley, Sera Wang, Camilla Piana, Pelin Çılgın, Qianhe Qin, Teisha Nishimitsu, Liaoliao Zhang, Huiting Liu, Josh Eyret, Gavin Sherry. (06/2026). arXiv. https://arxiv.org/abs/2606.01410v2
Students' Validation Criteria For Al-Generated Physics Solutions
Álvaro Suárez, Richard González. (06/2026). arXiv. https://arxiv.org/abs/2606.16830v1
Beyond Helpfulness: A Teaching-Over-Solving Diagnostic For Measuring Educational Impact In LLM Tutors
Junyi Yao, Zihao Zheng, Baichuan Li. (06/2026). arXiv. https://arxiv.org/abs/2606.16206v1
Beyond Models: Reflections On Engineering AI-Enabled Systems In A Project-Based Course
Amir Mashmool, Kishan Ravindra Sawant, Mojtaba Shahin, Nico Hochgeschwender, and Rainer Koschke. (06/2026). arXiv. https://arxiv.org/abs/2606.16842v1
