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Impact – Quasi–experimental
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 91
Structured AI Demonstrations And Student LLM Use In Engineering Mechanics: Study Design And Preliminary Results
Shuang Geng, Helen Lallos-Harrell, Jiya Ashar, Thomas J. McKenna, Annwesa Dasgupta, Caleb Farny, Emma Lejeune. (07/2026). arXiv. https://arxiv.org/abs/2607.28710v1
Generative AI Availability, Grades, And Student Satisfaction At A Large University
James M. Zumel Dumlao, Meng Wang, Zhonghan Xie, Junyao Hu, Ivan Bar, George Chaney III, Henry Gold, Misha Teplitskiy. (07/2026). arXiv. https://arxiv.org/abs/2607.21534v2
Experiential Versus Instructional Approaches For Eliciting Metacognitive Awareness In AI-Assisted Learning: A Short-Term Longitudinal Study
Pau Benazet i Montobbio, Janne Rotter, Davinia Hern√°ndez-Leo. (07/2026). arXiv. https://arxiv.org/abs/2607.20047v1
Teaching AI Interactively: An Experience Report In Higher Education
Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, Christopher J. MacLellan. (07/2026). arXiv. https://arxiv.org/abs/2603.28679v2
Faster Completion, Less Learning: Generative AI Reduced Study Time On Math Problems And The Knowledge They Build
Sina Rismanchian, Hasan Uzun, Jeffrey Matayoshi, Eric Cosyn, Eyad Kurd-Misto. (07/2026). arXiv. https://arxiv.org/abs/2605.21629v3
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
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
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
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
Detective Scaffolding For Within-Session Reasoning Development: A Three-Phase Framework Evaluated In Polymer Engineering And Pre-University Outreach
Haolin Feng, Holly Barrett, Xinru Deng, Dimitrios G. Papageorgiou and Yiwei Sun. (06/2026). arXiv. https://arxiv.org/abs/2606.07279v1
Beyond Access: Guided LLM Scaffolding For Independent Learning In Undergraduate Statistics
Mohammad Amanloua, Yasaman Amou-Jafaria, Mehrad Liviana, Fatemeh Boloukazari a, Fereshte Bagheria, Behnam Bahrakb. (05/2026). arXiv. https://arxiv.org/abs/2606.01375v1
Combating Harms Of Generative AI In Cs1 With Code Review Interviews And A Flipped Classroom
PETER FOWLES, ERIK FALOR, SULOVE BHATTARAI, JOHN EDWARDS, SETH POULSEN. (05/2026). arXiv. https://arxiv.org/abs/2605.21374v1
Gender Differences In AI Literacy Workshop Outcomes And Deepfake Engagement
Jake Renzella, Christian Bergh, Natasha Banks, and Alexandra Vassar. (05/2026). arXiv. https://arxiv.org/abs/2606.14718v1
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…
Little Impact Of ChatGPT Availability On High School Student Test Score Performance
Nick Huntington-Klein. (05/2026). arXiv. https://arxiv.org/abs/2605.08812v2
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
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
Maic-Ui: Making Interactive Courseware With Generative Ui
Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu. (04/2026). arXiv. https://arxiv.org/abs/2604.25806v1
Artificial Intelligence As A Real Game To Enlighten Science Education For Disabled Students In Rural New Mexico
Nelson Uloma Egondu, Gil R. Gallegos. (04/2026). arXiv. https://arxiv.org/abs/2606.00034v1
Al-Assisted Code Review As A Scaffold For Code Quality And Self-Regulated Learning: An Experience Report
Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam, Sonsoles López-Pernas, Mohammed Saqr. (04/2026). arXiv. https://arxiv.org/abs/2604.23251v1
Argumath: AI-Simulated Environment For Pre-Service Teacher Training In Orchestrating Classroom Mathematics Argumentation
Jiwon Chun, Yuling Zhuang, Armanto Sutedjo, Colin Xu, Rong Ren, and Meng Xia. (04/2026). arXiv. https://arxiv.org/abs/2604.22205v1
Fast And Forgettable: A Controlled Study Of Novices' Performance, Learning, Workload, And Emotion In AI-Assisted And Human Pair Programming Paradigms
NICHOLAS GARDELLA, JAMES PRATHER, JUHO LEINONEN, PAUL DENNY, RAYMOND PETTIT, SARA L. RIGGS. (04/2026). arXiv. https://arxiv.org/abs/2604.18538v1
Teaching AI Interactively: A Case Study In Higher Education
Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, Christopher J. MacLellan. (03/2026). arXiv. https://arxiv.org/abs/2603.28679v1
Pacee: Parent-Centered AI Scaffolding For Emotion Education In Early Childhood Conversations
Yu Mei, Xutong Wang, Ziyao Zhang, Yiming Fu, Shiyi Wang, Qingyang Wan, Qinghuan Lan, Chang Liu, Jie Cai, Chun Yu, Yuanchun Shi. (03/2026). arXiv. https://arxiv.org/abs/2511.14414v3
Evaluating Adaptive And Generative AI-Based Feedback And Recommendations In A Knowledge-Graph-Integrated Programming Learning System
Lalita Na Nongkhai, Jingyun Wang, Adam Wynn, Takahiko Mendori. (03/2026). arXiv. https://arxiv.org/abs/2603.24940v1
Three Years With Classroom AI In Introductory Programming: Shifts In Student Awareness, Interaction, And Performance
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Atsushi Shimada, and Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22672v1
Large Language Models In Teaching And Learning: Reflections On Implementing An AI Chatbot In Higher Education
Fiammetta Caccavale, Carina L. Gargalo, Julian Kager, Magdalena Skowyra, Steen Larsen, Krist V. Gernaey, Ulrich Kruhne. (03/2026). arXiv. https://arxiv.org/abs/2603.17773v1
Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation
Vedant Bahel, Harshinee Sriram, Cristina Conati. (03/2026). arXiv. https://arxiv.org/abs/2403.04035v3
Advancing Problem-Based Learning In Biomedical Engineering In The Era Of Generative AI
Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang. (03/2026). arXiv. https://arxiv.org/pdf/2503.16558v2
The Economics Of Algorithmic Personalization: Evidence From An Educational Technology Platform
Keshav Agrawal, Susan Athey, Ayush Kanodia, Shanjukta Nath, Emil Palikot. (03/2026). NBER. https://www.nber.org/papers/w34950

