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Outcomes – Durable Skills
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 783
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
A Scoping Review Of Large Language Model-Based Pedagogical Agents
Shan Li, Juan Zheng. (05/2026). arXiv. https://arxiv.org/abs/2604.12253v2
Towards Socraticode: Designing A Generative AI-Based Programming Tutor For K-12 Students Through A 4-Week Participatory Design Study
Cassandra Lucas, Anshul Bihani, Rohini Kukka, Chun-Hua Tsai, Jaydeb Sarker, Mia Mohammad Imran. (05/2026). arXiv. https://arxiv.org/abs/2605.17857v1
Addressing The Reality Gap: A Three-Tension Framework For Agentic AI Adoption
Jason Fournier, Kacper Łodzikowski. (05/2026). arXiv. https://arxiv.org/abs/2604.27245v2
Generative AI And The Productivity Divide: Human AI Complementarities In Education And Knowledge Work (Working Paper)
Bharat Anand, Lihi Idan. (05/2026). arXiv. https://arxiv.org/abs/2605.18143v1
ChatGPT Vs Teachers Vs Students: Large-Scale Analysis Of Generative AI Discourse In Education Communities On Reddit
Pelin Yuce, Xiangruo Dai, Rebecca Owens, Tugrulcan Elmas. (05/2026). arXiv. https://arxiv.org/abs/2605.17712v1
Knowing The Rules Is Not Enough: Student Regulatory Awareness And Use Of Genai In Higher Education
Lasse Bischof, Eva-Maria Schön, Maria Rauschenberger, Michael Neumann. (05/2026). arXiv. https://arxiv.org/abs/2606.12436v1
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
Computational Thinking Development In AI Agent Creation: A Mixed-Methods Study
Yimeng Sun, Haiyang Xin, Qiannan Niu, Shuang Li, Lingyun Huang, Gaowei Chen. (05/2026). arXiv. https://arxiv.org/abs/2605.14330v1
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
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
First, Do No Harm: AI Supervisor Scaffolds Novice Growth In Counselor Education
Chen Xu, Zhenyu Lyu, Tian Lan, Yang Yi, Yu Ji, Luyao Ji, Jian Shen, Zhihua Wang, Leyang Cui, Jieshuo Zhang, Xiaohua Wan, Qunxi Dong, Minqiang Yang, Juan Wang, Xiuling Liu, Bin Hu. (05/2026). arXiv. https://arxiv.org/abs/2508.09042v3
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
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
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
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
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
The Pedagogy Of AI Mistakes: Fostering Higher-Order Thinking
Hadi Hosseini. (05/2026). arXiv. https://arxiv.org/abs/2605.05472v1
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
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
Automatic Reflection Level Classification In Hungarian Student Essays
Zsolt Csibi, Kristian Fenech, Mónika Sándor, Mónika Serfőző, Kinga Gyöngy. (05/2026). arXiv. https://arxiv.org/abs/2605.02402v1
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
Profiles Of AI Dependency: A Latent Class Analysis Of Filipino Students' Academic Competencies
Emerson Quiambao Fernando, Julius Ceazar Gatchalian Tolentino, Maria Anna David Cruz, Jordan Lansang Salenga, Vernon Grace Magat Maniago, Juvy Cruz Grume, Erika Mamucud Pineda, Aileen Pobre De Leon, John Paul Palo Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27349v1
Math Education Digital Shadows For Facilitating Learning With LLMs: Math Performance, Anxiety And Confidence In Simulated Students And Ais
Naomi Esposito, Anthony Tricarico, Luisa Porzio, Ali Aghazadeh Ardebili, and Massimo Stella. (04/2026). arXiv. https://arxiv.org/abs/2604.27618v1
Unpacking Vibe Coding: Help-Seeking Processes In Student-AI Interactions While Programming
Daiana Rinja, Eduardo Araujo Oliveira, Sonsoles L‚àö‚â•pez-Pernas, Mohammed Saqr, Marcus Specht, and Kamila Misiejuk. (04/2026). arXiv. https://arxiv.org/abs/2604.27134v1
Now's The Time: Computer Science Must Evolve To Emphasize Software And Systems Engineering With Artificial Intelligence (AI)
Chandra N. Sekharan, George K. Thiruvathukal. (04/2026). arXiv. https://arxiv.org/abs/2604.27230v1
Curiosity And Metacognition: Towards A Unified Framework For Learning And Education In The Age Of AI
Chloé Desvaux, Rania Abdelghani, Pierre-Yves Oudeyer, Hélène Sauzéon. (04/2026). arXiv. https://arxiv.org/abs/2604.25648v1
