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Outcomes – Other Academic
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 91 - 120 of 796
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
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
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
AI-Generated Slides: Are They Good? Can Students Tell?
Juho Leinonen, Lisa Zhang, Arto Hellas. (05/2026). arXiv. https://arxiv.org/abs/2605.13532v1
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
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
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
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
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
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
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
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
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
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
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
The Pedagogy Of AI Mistakes: Fostering Higher-Order Thinking
Hadi Hosseini. (05/2026). arXiv. https://arxiv.org/abs/2605.05472v1
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
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
AI Adoption Among Teachers: Insights On Concerns, Support, Confidence, And Attitudes
Vanessa Baltazar Sibug, Maria Anna David Cruz, Vicky Pineda Vital, Juvy Cruz Grume, Almer Balingit Gamboa, Emerson Quiambao Fernando, Lloyd David Feliciano, Jordan Lansang Salenga, John Paul Palo Miranda. (05/2026). arXiv. https://arxiv.org/abs/2605.00343v1
Exploring The Adoption Intention In Using AI-Enabled Educational Tools Among Preservice Teachers In The Philippines: A Partial-Least Square Modeling
Vanessa Baltazar Sibug, Emerson Quiambao Fernando, Almer Balingit Gamboa, Roque Francis Badajos Dianelo, Agnes Romero Regala, Joseph Alexander Bansil, Jan Henry Beltran Sunga, Vernon Grace Magat Maniago, John Paul Palo Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27346v1
What Don'T You Understand? Using Large Language Models To Identify And Characterize Student Misconceptions About Challenging Topics
Michael J. Parker, María G. Zavala-Cerna. (04/2026). arXiv. https://arxiv.org/abs/2605.00294v1
