Search and Filter
Repository Feedback
Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.
Submit a research study
Contribute to the repository:
Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 61 - 90 of 554
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 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
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
A Systematic AI Adoption Framework For Higher Education: From Student Genai Usage To Institutional Integration
Michael Neumann, Lasse Bischof, Maria Rauschenberger, Eva-Maria Schön. (04/2026). arXiv. https://arxiv.org/abs/2604.22030v1
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
Autonomous LLM-Generated Feedback For Student Exercises In Introductory Software Engineering Courses
Andreas Metzger. (04/2026). arXiv. https://arxiv.org/abs/2604.20803v1
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
Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact
Michael Hardy, Yunsung Kim. (04/2026). arXiv. https://arxiv.org/abs/2603.00883
Generative AI In Higher Education: Evidence From An Elite College
Zara Contractor, German Reyes. (04/2026). arXiv. https://arxiv.org/abs/2508.00717v2
Enabling And Inhibitory Pathways Of Students' AI Use Concealment Intention In Higher Education: Evidence From Sem And Fsqca
Yiran Du, Huimin He. (04/2026). arXiv. https://arxiv.org/abs/2604.10978v1
Examining Eap Students' AI Disclosure Intention: A Cognition-Affect-Conation Perspective
Yiran Du, Huimin He. (04/2026). arXiv. https://arxiv.org/abs/2604.10991v1
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
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
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
Teaching Astronomy With Large Language Models
Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv. https://arxiv.org/abs/2506.06921v2
Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Evidence-Centered Design for Supporting Physics Problem Solving
Holger Maus, Paul Tschisgale, Fabian Kieser, Stefan Petersen, Peter Wulff. (04/2026). arXiv. https://arxiv.org/abs/2512.10785v2
Dialogue Act Patterns In Genai-Mediated L2 Oral Practice: A Sequential Analysis Of Learner-Chatbot Interactions
Liqun He, Shijun (Cindy) Chen, Mutlu Cukurova, Manolis Mavrikis. (04/2026). arXiv. https://arxiv.org/abs/2604.05702v1
Grow: A Conversational AI Coach For Goals, Reflection, Optimism, And Well-Being
Keya Shah, Himanshi Lalwani, Hanan Salam. (04/2026). arXiv. https://arxiv.org/abs/2604.04548v1
Amplifying Rural Educators' Perspectives: A Qualitative Study On The Impacts Of Generative AI In Rural U.S. High Schools
Shira Michel, Benjamin Taylor, Sabrina Parra Diaz, Joseph B. Wiggins, Ed Finn, Mahsan Nourani. (04/2026). arXiv. https://arxiv.org/abs/2604.03542v1
Grounding AI-in-Education Development in Teachers' Voices: Findings from a National Survey in Indonesia
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, and Fajri Koto. (04/2026). arXiv. https://arxiv.org/abs/2604.01630v1
Tailoring AI-Driven Reading Scaffolds To The Distinct Needs Of Neurodiverse Learners
Soufiane Jhilal, Eleonora Pasqua, Caterina Marchesi, Riccardo Corradi, Martina Galletti. (04/2026). arXiv. https://arxiv.org/abs/2603.28370v2
How Motivation Relates To Generative AI Use: A Large-Scale Survey Of Mexican High School Students
Echo Zexuan Pan, Danny Glick, Ying Xu. (04/2026). arXiv. https://arxiv.org/abs/2603.19263v2
Evaluating Vision-Language And Large Language Models For Automated Student Assessment In Indonesian Classrooms
Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury, and Fajri Koto. (04/2026). arXiv. https://arxiv.org/abs/2506.04822v3
