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Outcomes – Other Academic
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 181 - 210 of 864
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
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
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
Maic-Ui: Making Interactive Courseware With Generative Ui
Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu. (04/2026). arXiv. https://arxiv.org/abs/2604.25806v1
Tutor, Not Solver: Designing A Guardrailed AI Assistant For Learning In Higher Education: A Design Case Of Petechat
Belle Li, Lily Tan, Wei Zakharov, Qiang Qiu, Colby Ben Acton. (04/2026). arXiv. https://arxiv.org/abs/2606.09845v1
How Do Software Engineering Students Use Generative AI In Real-World Capstone Projects? An Empirical Baseline Study
Michael Mircea, Elisa Schmid, Jakob Droste, Kurt Schneider. (04/2026). arXiv. https://arxiv.org/abs/2604.24521v1
Your Students Don't Use LLMs Like You Wish They Did
Sebastian Kobler, Matthew Clemson, Angela Sun, Jonathan K. Kummerfeld. (04/2026). arXiv. https://arxiv.org/abs/2604.23486v1
Artificial Intelligence As A Real Game To Enlighten Science Education For Disabled Students In Rural New Mexico
Nelson Uloma Egondu, Gil R. Gallegos. (04/2026). arXiv. https://arxiv.org/abs/2606.00034v1
Arguagent: AI-Supported Real-Time Grouping For Productive Argumentation In STEM Classrooms
Jennifer Kleiman, Yizhu Gao, Xin Xia, Zhaoji Wang, Zipei Zhu, Jongchan Park, Xiaoming Zhai. (04/2026). arXiv. https://arxiv.org/abs/2604.23449v1
Al-Assisted Code Review As A Scaffold For Code Quality And Self-Regulated Learning: An Experience Report
Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam, Sonsoles L‚àö‚â•pez-Pernas, Mohammed Saqr. (04/2026). arXiv. https://arxiv.org/abs/2604.23251v1
Teachmaster: Generative Teaching Via Code
Yuheng Wang, Runde Yang, Lin Wu, Jie Zhang, Jingru Fan, Tianle Zhou, Ruoyu Fu, Huatao Li, Ruijie Shi, Siheng Chen, Weinan E, Chen Qian. (04/2026). arXiv. https://arxiv.org/abs/2601.04204v2
LLM-Assisted Sentiment Analysis For Integrated Computational And Qualitative Mixed Methods Education Research: A Case Study Of Students' Written Reflection Assignments
Xiomara Gonzalez, Gabriella Coloyan Fleming, Andrew Katz, Maya Denton, Jessica Deters. (04/2026). arXiv. https://arxiv.org/abs/2605.27403v1
Perceptions And Utilization Of Genai Tools Among Data Science Students And Faculty
ABEER M. HASAN, SAYED A. MOSTAFA. (04/2026). arXiv. https://arxiv.org/abs/2604.22998v1
Code For All: Educational Applications Of The Vibe Coding Hackathon In Programming Education Across All Skill Levels
Ashley J. Chen, Yijia Cao, Minghao Shao, Ramesh Karri, Muhammad Shafique. (04/2026). arXiv. https://arxiv.org/abs/2604.22747v1
Mathematical Modelling Of Ethical AI Use In Higher Education: A Coordination Game Framework For Future-Facing Learning
Ndidi Bianca Ogbo, Zhao Song, Shatha Ghareeb, The Anh Han. (04/2026). arXiv. https://arxiv.org/abs/2605.27400v1
Autonomous LLM-Generated Feedback For Student Exercises In Introductory Software Engineering Courses
Andreas Metzger. (04/2026). arXiv. https://arxiv.org/abs/2604.20803v1
Reliancescope: An Analytical Framework For Examining Students' Reliance On Generative AI Chatbots In Problem Solving
Hyoungwook Jin, Minju Yoo, Jieun Han, Zixin Chen, So-Yeon Ahn, Xu Wang. (04/2026). arXiv. https://arxiv.org/abs/2602.16251v2
Heterogeneous Interaction Network Analysis (Hina): A New Learning Analytics Approach For Modelling, Analyzing, And Visualizing Complex Interactions In Learning Processes
Shihui Feng, Baiyue He, Dragan Gasevic, Alec Kirkley. (04/2026). arXiv. https://arxiv.org/abs/2601.06771v2
Hint-Writing With Deferred AI Assistance: Fostering Critical Engagement In Data Science Education
Anjali Singh, Christopher Brooks, Warren Li, Juho Kim, Xu Wang. (04/2026). arXiv. https://arxiv.org/abs/2604.19931v1
Relationships Between Trust, Compliance, And Performance For Novice Programmers Using AI Code Generation
Nicholas Gardella, Matthew L. Bolton, Sara L. Riggs. (04/2026). arXiv. https://arxiv.org/abs/2604.18948v1
Fast And Forgettable: A Controlled Study Of Novices' Performance, Learning, Workload, And Emotion In AI-Assisted And Human Pair Programming Paradigms
NICHOLAS GARDELLA, JAMES PRATHER, JUHO LEINONEN, PAUL DENNY, RAYMOND PETTIT, SARA L. RIGGS. (04/2026). arXiv. https://arxiv.org/abs/2604.18538v1
The LLM Fallacy: Misattribution In AI-Assisted Cognitive Workflows
Hyunwoo Kim, Harin Yu, Hanau Yi. (04/2026). arXiv. https://arxiv.org/abs/2604.14807v1
Enhancing School Students’ Self-Regulated Learning through Generative AI Support: A Randomized Controlled Trial
Tim Fütterer, Lisa Bardach, Jochen Kuhn, Stefan Daniel Keller, Peter Gerjets. (04/2026). Educational Physcology Review. https://link.springer.com/article/10.1007/s10648-026-10133-8
Generative AI In Higher Education: Evidence From An Elite College
Zara Contractor, German Reyes. (04/2026). arXiv. https://arxiv.org/abs/2508.00717v2
