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Outcomes – Durable Skills
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 1 - 30 of 740
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…
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, Hélène Sauzéon. (06/2026). arXiv. https://arxiv.org/abs/2604.01955
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
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
Students' Validation Criteria For Al-Generated Physics Solutions
Álvaro Suárez, Richard González. (06/2026). arXiv. https://arxiv.org/abs/2606.16830v1
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
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
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
Scan: A Decision-Making Framework For Effective Task Allocation With Generative AI
Fendi Tsim, Alina Gutoreva. (06/2026). arXiv. https://arxiv.org/abs/2606.15601v1
"Stuck In A Spiral": Shame And Guilt As Social Regulators Of AI Use In Computing Education
Kate Hamilton, Irene Hou, Dev Patel, Sheena Nnam, Hena Patel, Stephen MacNeil. (06/2026). arXiv. https://arxiv.org/abs/2606.14920v1
Reshaping Undergraduate Computer Science Education In The Generative AI Era (Version 1.0)
Yi-Chieh (EJ) Lee, Nattapat Boonprakong, Yugin Tan, Harold Soh, Alex Potanin, Viraj Kumar, Anoop K. Sinha, Chen Qian, Paul Denny, Mennatallah El-Assady, Ian Oakley, Jake Renzella, Amy Zhang, Jat Singh, Wee Sun Lee, Hsuan-Tien Lin, Jane L. E, Anthony Tang, Margaret M. Burnett, Sowmya Somanath, Renwen Zhang, Vicky Charisi, Alexandra I. Cristea. (06/2026). arXiv. https://arxiv.org/abs/2606.07545v2
Large-Scale Semantic Mapping Of Learner Agency And Autonomy Reveals What Measurement And Generative AI Research Overlook
Fei Qin, Xiaobo Liu, Yaowen Zhang, Xuming Li, Fei Wang, Mutlu Cukurova, Jingjing Chen, Yu Zhang. (06/2026). arXiv. https://arxiv.org/abs/2606.10881v2
Exploring How Agent Voice Accents Shape Human-AI Collaboration In K-12 Group Learning
Prerna Ravi, Carúmey Stevens, Ben Hurt, Brandon Hanks, Grace Lin, and Emma Anderson. (06/2026). arXiv. https://arxiv.org/abs/2606.12805v1
Structuring Transparency: Developing Domain-Specific Generative AI Declaration Frameworks In Higher Education
Nicholas Micallef, Olga Petrovska. (06/2026). arXiv. https://arxiv.org/abs/2606.13389v1
Intelicit: Eliciting And Assessing Contextualized Creativity Via Dialogue Policy Optimization
Mingjia Li, Jin Wu, Hong Qian, Wenhao Huang, Yiyang Huang, Yiwen Zhang, Chanjin Zheng, Xiangfeng Wang, Aimin Zhou, Jiajun Guo. (06/2026). arXiv. https://arxiv.org/abs/2606.12086v1
Examining The Usage Of Generative AI Models In Student Learning Activities For Software Programming
Rufeng Chen, Shuaishuai Jiang, AJung Moon, Jiyun Shen, Lili Wei. (06/2026). arXiv. https://arxiv.org/abs/2511.13271v2
Quantifying Perception-Based Student Success With Generative AI: An Exploratory Monte Carlo Simulation
Seyma Yaman Kayadibi. (06/2026). arXiv. https://arxiv.org/abs/2507.01062v4
Cotal: Human-In-The-Loop Prompt Engineering For Generalizable Formative Assessment Scoring And Feedback
Clayton Cohn, Ashwin T S, Naveeduddin Mohammed, Gautam Biswas. (06/2026). arXiv. https://arxiv.org/abs/2504.02323v4
Beyond Tool Adoption: A Practical Five-Stage Developmental Continuum For AI Literacy In Higher Education
J. Paul Liu, Rachel Levy. (06/2026). arXiv. https://arxiv.org/abs/2606.00038v5
Trust And Reliance On AI In Education: AI Literacy And Need For Cognition As Moderators
Griffin Pitts, Neha Rani, Weedguet Mildort. (06/2026). arXiv. https://arxiv.org/abs/2604.01114v3
Culturally-Aware AI For Cross-Boundary Community Learning: Undergraduate Innovation At The Intersection Of Computation And Design
Jiaojiao Zhao, Weisheng Zhang, Jiawen Cai, Haibin Gao, Luyao Zhang. (06/2026). arXiv. https://arxiv.org/abs/2606.09041v1
How Software Engineering Students Use LLMs To Write Research Papers: An Experience Report
Ronnie de Souza Santos, Maria Teresa Baldassarre, Cleyton Magalh√£es, and Italo Santos. (06/2026). arXiv. https://arxiv.org/abs/2606.05114v2
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
From Motion Signals To Insights: A Unified Framework For Student Behavior Analysis And Feedback In Physical Education Classes
Xian Gao, Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Zongyun Zhang, Ting Liu and Yuzhuo Fu. (06/2026). arXiv. https://arxiv.org/abs/2503.06525v2
The Role Of Instructional Guidance In Generative AI-Assisted Learning: Empirical Evidence From Construction Engineering Education
Xiaoyu Hou, Bo Xiao, Hexu Liu, Shane Mueller. (06/2026). arXiv. https://arxiv.org/abs/2606.05509v1
Agentic AI And Pedagogical Best Practice: The Tension Between Automation And Learning
Steve Woollaston, Brendan Flanagan, Isanka Wijerathne, and Hiroaki Ogata. (06/2026). arXiv. https://arxiv.org/abs/2606.04543v1
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
Where'S The Structure? A Systematic Literature Review Of Empirical Research On Human-AI Collaboration And Hybrid Intelligence For Learning
Luis P. Prieto, Juan I. Asensio-Pérez, María Jesús Rodríguez-Triana, Mohamed Saban, Yannis Dimitriadis. (05/2026). arXiv. https://arxiv.org/abs/2606.05222v1
