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Outcomes – Durable Skills
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 61 - 90 of 783
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
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
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
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
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
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
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
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
Multi-Level Barriers To Generative AI Adoption Across Disciplines And Professional Roles In Higher Education
Jianhua Yang, Kerem Oge, Adrian von Muhlenen, Abdullah Bilal Akbulut, Tanya Suzanne Carey, Chidi Okorro. (05/2026). arXiv. https://arxiv.org/abs/2603.27052v3
A Theory-Guided LLM Pedagogical Agent For STEM+C Scaffolding Without Over-Reliance
Clayton Cohn, Surya Rayala, Siyuan Guo, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Ryan Li, Angela Eeds, Menton Deweese, Pamela J. Osborn Popp, Rebekah Stanton, Shakeera Walker, Ashwin T S, Meiyi Ma, Gautam Biswas. (05/2026). arXiv. https://arxiv.org/abs/2605.30539v1
Practitioner Beliefs And Behaviors In AI-Enhanced Education: Dot Framework Survey Evidence
David Gibson, M. Elizabeth Azukas, Gerald Knezek. (05/2026). arXiv. https://arxiv.org/abs/2605.29041v1
Beyond AI Delegation: A Prompt Pattern Framework For Productive Struggle And Evaluative Judgement In Secure Coding Education
Philipp Haindl, Oliver Eigner, Peter Kieseberg. (05/2026). arXiv. https://arxiv.org/abs/2605.24447v1
Governing generative AI in higher education: a global Delphi study on policy and practice
Helen Crompton, Diane Burke, Christine Nickel, Aras Bozkurt, Fengchun Miao, Mike Sharples, Jeffrey Alan Greene, David Parsons, Lucy Gill-Simmen, Adam Edmett, Mark Pegrum, Inge de Waard, Curtis J. Bonk, Manuel B. Garcia, John H. Curry, LeeAnn Lindsey, Mohan Yang, Stephen Marshall, Maha Bali, Nellie Deutsch, Suzaan le Roux, Mourad Benali, Mohd Ali Bin Samsudin, Hasan Tinmaz, Matthew L. Bernacki, Mari van Wyk, Lenandlar Singh, Agnes Chigona, Lance Eaton, Junhong Xiao, Johanna Velander, Jinhee Kim, Francisco Bellas, R. Rajalakshmi, Andréia de Bem Machado, Agnieszka Palalas, Sean Yu. (05/2026). International Journal of Educational Technology in Higher Education. https://link.springer.com/article/10.1186/s41239-026-00602-z
A Taxonomy Of Metacognitive Learning Scenarios In Professional Contexts: Integrating Systems Theory With Empirical Constraints
David C Gibson, Mary Elizabeth Azukas, Meryem Yilmaz Soylu. (05/2026). arXiv. https://arxiv.org/abs/2605.24142v1
Teaching AI Through Benchmark Construction: Questbench As A Course-Based Practice For Accountable Knowledge Work
Haiyang Shen, Jiuzheng Wang, Taian Guo, Mugeng Liu, Wenchun Jing, Chongyang Pan, Siqi Zhong, Zhiyang Chen, Weichen Bi, Yudong Han, Xiaoying Bai, Yun Ma. (05/2026). arXiv. https://arxiv.org/abs/2605.21413v2
The Hidden Cost Of Contextual Sycophancy: An AI Literacy Intervention In Human-AI Collaboration
Cansu Koyuturk, Sabrina Guidotti, Dimitri Ognibene. (05/2026). arXiv. https://arxiv.org/abs/2605.18372v2
Gen-AI-Tecture: Using Generative AI To Support Architectural Students In Design Tasks
Timo Kapsalis. (05/2026). arXiv. https://arxiv.org/abs/2605.21361v1
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
Generative AI Practices, Literacy, And Divides: An Empirical Analysis In The Italian Context
Beatrice Savoldi, Giuseppe Attanasio, Olga Gorodetskaya, Marta Marchiori Manerba, Elisa Bassignana, Silvia Casola, Matteo Negri, Tommaso Caselli, Luisa Bentivogli, Alan Ramponi, Arianna Muti, Nicoletta Balbo, Debora Nozza. (05/2026). arXiv. https://arxiv.org/abs/2512.03671v2
