Descriptive analysis

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 61 - 90 of 237 studies

Practitioner Beliefs And Behaviors In AI-Enhanced Education: Dot Framework Survey Evidence

David C Gibson, Mary Elizabeth Azukas, Gerald Knezek. (05/2026). arXiv. https://arxiv.org/abs/2605.29041v1
Prediction Model Of Motivators And Demotivators Of Integrating Large Language Models In Software Engineering Education: An Empirical Study

Maryam Khan, Muhammad Azeem Akbar, Jussi Kasurinen, Estefanía Martín-Barroso. (05/2026). arXiv. https://arxiv.org/abs/2605.09393v3
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
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
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
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
Who Gets To Do Physics? Occupational Stereotypes In AI-Generated Problem Sets

Bilas Paul. (05/2026). arXiv. https://arxiv.org/abs/2605.19161v1
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
Promptdecipher: Supporting AI Tutor Authoring Through Editable Simulated Interactions

Miina Koyama, Ruiwei Xiao, John Stamper. (05/2026). arXiv. https://arxiv.org/abs/2605.16605v1
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
Mapping AI Programs In The U.S: A Status Report From Early 2026 And An Analysis Of AI Majors And Minors

Felix Muzny, Carolyn Jones, Carter Ithier, Hasnain Sikora, Hrutika Harshadbhai Patel, Carla E. Brodley. (05/2026). arXiv. https://arxiv.org/abs/2606.12428v1
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
Dipser: A Dataset For In-Person Student Engagement Recognition In The Wild

Luis Marquez-Carpintero, Sergio Suescun-Ferrandiz, Carolina Lorenzo Álvarez, Jorge Fernandez-Herrero, Diego Viejo, Rosabel Roig-Vila, Miguel Cazorla. (05/2026). arXiv. https://arxiv.org/abs/2502.20209v3
Teachers' Perceived Benefits And Risks Of AI Across Fifty-Five Countries: An Audit Of LLM Alignment And Steerability

Yan Tao, Olga Viberg, Deepak Varuvel Dennison, Zhikun Wu, Rene F. Kizilcec. (05/2026). arXiv. https://arxiv.org/abs/2605.08486v1
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, Narges Norouzi. (05/2026). arXiv. https://arxiv.org/abs/2605.05648v1
Bibliometric Mapping Of AI-Supported Social Presence In Online Learning Environments: Trends, Collaboration, And Thematic Directions

Almer Balingit Gamboa, Erika Mamucud Pineda, Rhiziel P. Manalese, Aileen Pobre De Leon, Vernon Grace M. Maniago, Jan Henry Beltran Sunga, Agnes Romero Regala, Roque Francis Badajos Dianelo, John Paul P. Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27344v1
What Don'T You Understand? Using Large Language Models To Identify And Characterize Student Misconceptions About Challenging Topics

Michael J. Parker, Maria Guadalupe Zavala-Cerna. (04/2026). arXiv. https://arxiv.org/abs/2605.00294v1
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 M. Maniago, Juvy Cruz Grume, Erika Mamucud Pineda, Aileen Pobre De Leon, John Paul P. Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27349v1
Unpacking Vibe Coding: Help-Seeking Processes In Student-AI Interactions While Programming

Daiana Rinja, Eduardo Araujo Oliveira, Sonsoles López-Pernas, Mohammed Saqr, Marcus Specht, and Kamila Misiejuk. (04/2026). arXiv. https://arxiv.org/abs/2604.27134v1
Tracing Genai Literacy: Uncovering Student-AI Interaction Patterns In Academic Writing Through Epistemic Network Analysis

Angxuan Chen, Jiyou Jia. (04/2026). arXiv. https://arxiv.org/abs/2606.00040v1
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
Al-Assisted Code Review As A Scaffold For Code Quality And Self-Regulated Learning: An Experience Report

Eduardo Araujo Oliveira, Michael Fu, Patanamon Thongtanunam, Sonsoles López-Pernas, Mohammed Saqr. (04/2026). arXiv. https://arxiv.org/abs/2604.23251v1
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
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
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 Gašević, Alec Kirkley. (04/2026). arXiv. https://arxiv.org/abs/2601.06771v2
Generative AI In Higher Education: Evidence From An Elite College

Zara Contractor, German Reyes. (04/2026). arXiv. https://arxiv.org/abs/2508.00717v2
Perceived Importance Of Cognitive Skills Among Computing Students In The Era Of AI

Neha Rani, Erta Cenko, and Laura Melissa Cruz Castro. (04/2026). arXiv. https://arxiv.org/abs/2604.10730v1
Tracing Prompt-Level Trajectories To Understand Student Learning With AI In Programming Education

Tianyu Shao, Miguel Feijoo-Garcia, Yi Zhang, Hugo Castellanos, Tawfiq Salem, Alejandra Magana, Tianyi Li. (04/2026). arXiv. https://arxiv.org/abs/2604.10400v1
Artificial Intelligence For All? Brazilian Teachers On Ethics, Equity, And The Everyday Challenges Of AI In Education

Bruno Florentino, Andre de Carvalho, Camila Sestito, Wellington Cruz, Robson Bonidia. (04/2026). arXiv. https://arxiv.org/abs/2512.23834v2