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:
Student
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 181 - 210 of 1118
Beyond Models: Reflections On Engineering AI-Enabled Systems In A Project-Based Course
Amir Mashmool, Kishan Ravindra Sawant, Mojtaba Shahin, Nico Hochgeschwender, and Rainer Koschke. (06/2026). arXiv. https://arxiv.org/abs/2606.16842v1
What LLMs Must Forget To Teach Effectively A Diy Approach To Premodern Japanese Language Pedagogy
Ariel Stilerman, Andrew Nelson, Alan Cheng, Caleb Langley, Sera Wang, Camilla Piana, Pelin Çılgın, Qianhe Qin, Teisha Nishimitsu, Liaoliao Zhang, Huiting Liu, Josh Eyret, Gavin Sherry. (06/2026). arXiv. https://arxiv.org/abs/2606.01410v2
Using AI In Engineering Education: A Balancing Act, Driven By Clear Purpose
Olya Kudina. (06/2026). arXiv. https://arxiv.org/abs/2606.16626v1
Students' Validation Criteria For Al-Generated Physics Solutions
Álvaro Suárez, Richard González. (06/2026). arXiv. https://arxiv.org/abs/2606.16830v1
Contaminated Collaboration: Measuring Gender Bias Transfer In LLM-Assisted Student Writing
Ariyan Hossain, Kazi Kamruzzaman Rabbi, Farig Sadeque, S M Taiabul Haque. (06/2026). arXiv. https://arxiv.org/abs/2606.15914v1
Rethinking Scaffolding In LLM Tutors: The Interactional Mismatch Between Benchmarks And Real-World Deployments
Alexandra Neagu, Jeffrey T. H. Wong, Marcus Messer, Rhodri Nelson, Peter B. Johnson. (06/2026). arXiv. https://arxiv.org/abs/2606.15766v1
Scan: A Decision-Making Framework For Effective Task Allocation With Generative AI
Fendi Tsim, Alina Gutoreva. (06/2026). arXiv. https://arxiv.org/abs/2606.15601v1
What Do You Mean By 'Human-AI Collaboration'? Prerequisite Functions And The Affordances Needed To Achieve It
Professor Mutlu Cukurova. (06/2026). arXiv. https://arxiv.org/abs/2606.15509v1
"Stuck In A Spiral": Shame And Guilt As Social Regulators Of AI Use In Computing Education
Kate Hamilton, Irene Hou, Dev Patel, Sheena Nnam, Hena Patel, Stephen MacNeil. (06/2026). arXiv. https://arxiv.org/abs/2606.14920v1
From Planning To Revision: How AI Writing Support At Different Stages Alters Ownership
Katy Ilonka Gero, Tao Long, Carly Schnitzler, Paramveer S. Dhillon. (06/2026). arXiv. https://arxiv.org/abs/2604.11009v2
Structuring Transparency: Developing Domain-Specific Generative AI Declaration Frameworks In Higher Education
Nicholas Micallef, Olga Petrovska. (06/2026). arXiv. https://arxiv.org/abs/2606.13389v1
Reshaping Undergraduate Computer Science Education In The Generative AI Era (Version 1.0)
Yi-Chieh (EJ) Lee, Nattapat Boonprakong, Yugin Tan, Harold Soh, Alex Potanin, Viraj Kumar, Anoop K. Sinha, Chen Qian, Paul Denny, Mennatallah El-Assady, Ian Oakley, Jake Renzella, Amy Zhang, Jat Singh, Wee Sun Lee, Hsuan-Tien Lin, Jane L. E, Anthony Tang, Margaret M. Burnett, Sowmya Somanath, Renwen Zhang, Vicky Charisi, Alexandra I. Cristea. (06/2026). arXiv. https://arxiv.org/abs/2606.07545v2
Intelicit: Eliciting And Assessing Contextualized Creativity Via Dialogue Policy Optimization
Mingjia Li, Jin Wu, Hong Qian, Wenhao Huang, Yiyang Huang, Yiwen Zhang, Chanjin Zheng, Xiangfeng Wang, Aimin Zhou, Jiajun Guo. (06/2026). arXiv. https://arxiv.org/abs/2606.12086v1
Examining The Usage Of Generative AI Models In Student Learning Activities For Software Programming
Rufeng Chen, Shuaishuai Jiang, AJung Moon, Jiyun Shen, Lili Wei. (06/2026). arXiv. https://arxiv.org/abs/2511.13271v2
Quantifying Perception-Based Student Success With Generative AI: An Exploratory Monte Carlo Simulation
Seyma Yaman Kayadibi. (06/2026). arXiv. https://arxiv.org/abs/2507.01062v4
Beyond Tool Adoption: A Practical Five-Stage Developmental Continuum For AI Literacy In Higher Education
J. Paul Liu, Rachel Levy. (06/2026). arXiv. https://arxiv.org/abs/2606.00038v5
Cotal: Human-In-The-Loop Prompt Engineering For Generalizable Formative Assessment Scoring And Feedback
Clayton Cohn, Ashwin T S, Naveeduddin Mohammed, Gautam Biswas. (06/2026). arXiv. https://arxiv.org/abs/2504.02323v4
Trust And Reliance On AI In Education: AI Literacy And Need For Cognition As Moderators
Griffin Pitts, Neha Rani, Weedguet Mildort. (06/2026). arXiv. https://arxiv.org/abs/2604.01114v3
Detective Scaffolding For Within-Session Reasoning Development: A Three-Phase Framework Evaluated In Polymer Engineering And Pre-University Outreach
Haolin Feng, Holly Barrett, Xinru Deng, Dimitrios G. Papageorgiou and Yiwei Sun. (06/2026). arXiv. https://arxiv.org/abs/2606.07279v1
How Software Engineering Students Use LLMs To Write Research Papers: An Experience Report
Ronnie de Souza Santos, Maria Teresa Baldassarre, Cleyton Magalh√£es, and Italo Santos. (06/2026). arXiv. https://arxiv.org/abs/2606.05114v2
Agentic AI And Pedagogical Best Practice: The Tension Between Automation And Learning
Steve Woollaston, Brendan Flanagan, Isanka Wijerathne, and Hiroaki Ogata. (06/2026). arXiv. https://arxiv.org/abs/2606.04543v1
The Role Of Instructional Guidance In Generative AI-Assisted Learning: Empirical Evidence From Construction Engineering Education
Xiaoyu Hou, Bo Xiao, Hexu Liu, Shane Mueller. (06/2026). arXiv. https://arxiv.org/abs/2606.05509v1
From Explanation To Diagnosis: Next Generation Interactive Video Coach With Misstep Awareness
Xiao Jin, Rahul K. Dass, and Ashok K. Goel. (06/2026). arXiv. https://arxiv.org/abs/2606.02970v1
AI Diffusion Gaps: Unequal Integration of AI Across K-12 School
Christopher Campos, John D. Singleton. (06/2026). NBER. https://www.nber.org/papers/w35347
Characterization And Effects Of Cs2 Learning With Genai, Visualization, And Human Support
Quinton Yong, Anthony Estey, Miguel Nacenta. (06/2026). arXiv. https://arxiv.org/abs/2606.02933v1
Beyond Generic Answers and Empty Praise: The Differential Impact of AI Companionship Roles on Social-Emotional Learning in University Student Intervention
Shun-Lam Chan, Jinglun Zhao, Jiaxuan Gao, Xiaofei Lyu, Jun Wei. (06/2026). Artificial Intelligence in Education. https://link.springer.com/chapter/10.1007/978-3-032-29763-1_34
Who Benefits from LLM-Generated Learning Support Messages? Causal Evidence on Treatment Effect Heterogeneity
Aylin Ozturk, Gati Aher, Tom Mitchell, Mustafa Kemal Birgin, Huseyin Kayhan. (06/2026). Artificial Intelligence in Education. https://link.springer.com/chapter/10.1007/978-3-032-29770-9_62
Advanced Mathematics Learning Behavior Prediction And Academic Early Warning Model Based On Multimodal Data Analysis
Liu Qiong, Li Zhengbo. (05/2026). arXiv. https://arxiv.org/abs/2606.01224v1
