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Outcomes – Other Academic
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 151 - 180 of 864
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
Towards an Evaluation Methodology for AI in Second Language Education: Lessons Learned from Developing L2-Bench
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (05/2026). arXiv. https://arxiv.org/abs/2603.20088v2
"Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom
Caterina Fuligni, Daniel Dominguez Figaredo, Armanda Lewis, Julia Stoyanovich. (05/2026). arXiv. https://arxiv.org/abs/2503.02885v3
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
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
Faculty Orientations Shape Adoption Of AI In Research And Teaching
T. J. Atherton, I. Descamps, M. Webel, T. R. Holmes, C. L. Vizcarra, N. Sui, J. J. Foley IV. (05/2026). arXiv. https://arxiv.org/abs/2605.18140v1
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
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
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
Adesua: Development And Feasibility Study Of An AI Whatsapp Bot For Science Learning In West Africa
George Boateng, Evans Atompoya, Philemon Badu, Samuel John, Samuel Ansah, Patrick Agyeman-Budu, and Victor Kumbol. (05/2026). arXiv. https://arxiv.org/abs/2605.15376v1
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
Little Impact Of ChatGPT Availability On High School Student Test Score Performance
Nick Huntington-Klein. (05/2026). arXiv. https://arxiv.org/abs/2605.08812v2
AI-Generated Slides: Are They Good? Can Students Tell?
Juho Leinonen, Lisa Zhang, Arto Hellas. (05/2026). arXiv. https://arxiv.org/abs/2605.13532v1
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
Roboblockly Studio: Conversational Block Programming With Embodied Robot Feedback For Computational Thinking
Leyi Li, Chenyu Du, Jiafei Sun, Erick Purwanto, Qing Zhang. (05/2026). arXiv. https://arxiv.org/abs/2605.12059v1
An Explainable AI Assistant For Introductory Programming Education: Improving Feedback Reliability With Instructor-AI Collaboration
Muntasir Hoq, Griffin Pitts, Bradford Mott, Seung Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James Lester, and Bita Akram. (05/2026). arXiv. https://arxiv.org/abs/2606.12425v1
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
Generative AI For Visualizing Highway Construction Hazards Through Synthetic Images And Temporal Sequences
Trevor Neece, Mason Smetana, and Lev Khazanovich. (05/2026). arXiv. https://arxiv.org/abs/2605.11276v1
Performance And Failure Modes Of AI Chatbots On A Novel Concept Inventory On Relativity In Classical Mechanics
Eugenio TUFINO, Caterina GIOVANZANA, Andrea ZAMBONI, Pasquale ONORATO, Stefano OSS. (05/2026). arXiv. https://arxiv.org/abs/2605.09602v1
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
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
The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness
Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas, Juho Leinonen, John DeNero, and Narges Norouzi. (05/2026). arXiv. https://arxiv.org/abs/2605.05648v1
Can Providing Feedback On Gaze And Mental-Effort Synchrony Improve Pair Programming Performance?
Anahita Golrang, Kshitij Sharma. (05/2026). arXiv. https://arxiv.org/abs/2605.05836v1
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
Learnmate^2: Design And Evaluation Of An LLM-Powered Personalized And Adaptive Support System For Online Learning
Xinyu Jessica Wang, Christine P Lee, Bilge Mutlu. (05/2026). arXiv. https://arxiv.org/abs/2605.06257v1
