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Learning – Student Support
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 181 - 210 of 1012
Al-Assisted Code Review As A Scaffold For Code Quality And Self-Regulated Learning: An Experience Report
Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam, Sonsoles López-Pernas, Mohammed Saqr. (04/2026). arXiv. https://arxiv.org/abs/2604.23251v1
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
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
Community-Based AI Learning: Redistributing Artificial Intelligence'S Epistemic Authority In Education
Santiago Ojeda-Ramirez, Symone Gyles, Kylie Peppler. (04/2026). arXiv. https://arxiv.org/abs/2604.21986v1
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
Autonomous LLM-Generated Feedback For Student Exercises In Introductory Software Engineering Courses
Andreas Metzger. (04/2026). arXiv. https://arxiv.org/abs/2604.20803v1
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
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
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
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
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)
Clayton Cohn, Surya Rayala, Caitlin Snyder, Joyce Horn Fonteles, Shruti Jain, Naveeduddin Mohammed, Umesh Timalsina, Sarah K. Burriss, Ashwin T S, Namrata Srivastava, Menton Deweese, Angela Eeds, Gautam Biswas. (04/2026). arXiv. https://arxiv.org/abs/2505.17238v3
Who Decides In AI-Mediated Learning? The Agency Allocation Framework
Conrad Borchers, Olga Viberg, Rene F. Kizilcec. (04/2026). arXiv. https://arxiv.org/abs/2604.13534v1
Generative AI In Higher Education: Evidence From An Elite College
Zara Contractor, German Reyes. (04/2026). arXiv. https://arxiv.org/abs/2508.00717v2
Assessing The Impact And Underlying Pathways Of Sequenced AI Feedback On Student Learning
Jie Cao, Chloe Qianhui Zhao, Christian Schunn, Elizabeth A. McLaughlin, Jionghao Lin, Kenneth R. Koedinger. (04/2026). arXiv. https://arxiv.org/abs/2604.07469v2
Comprehension Debt In Genai-Assisted Software Engineering Projects
Muhammad Ovais Ahmad. (04/2026). arXiv. https://arxiv.org/abs/2604.13277v1
Examining Eap Students' AI Disclosure Intention: A Cognition-Affect-Conation Perspective
Yiran Du, Huimin He. (04/2026). arXiv. https://arxiv.org/abs/2604.10991v1
AI-Supported Data Analysis Boosts Student Motivation And Reduces Stress In Physics Education
Jannik Henze, Julia Lademann, Sebastian Becker-Genschow and Andre Bresges. (04/2026). arXiv. https://arxiv.org/abs/2412.20951v2
Use Of AI Tools: Guidelines To Maintain Academic Integrity In Computing Colleges
Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, and Qamar Wali. (04/2026). arXiv. https://arxiv.org/abs/2604.11111v1
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
Offline-First LLM Architecture For Adaptive Learning In Low-Connectivity Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona. (04/2026). arXiv. https://arxiv.org/abs/2603.03339v5
Exploring Teachers' Perspectives On Using Conversational AI Agents For Group Collaboration
Prerna Ravi, Carumey Stevens, Beatriz Flamia Azevedo, Jasmine David, Brandon Hanks, Hal Abelson, Grace Lin, and Emma Anderson. (04/2026). arXiv. https://arxiv.org/abs/2602.07142v2
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
Teaching Astronomy With Large Language Models
Yuan-Sen Ting, Teaghan O'Briain. (04/2026). arXiv. https://arxiv.org/abs/2506.06921v2
Opencoderrank: Personalized Technical Assessments With Generative AI
Hridoy Sankar Dutta, Sana Ansari, Swati Kumari, Shounak Ravi Bhalerao. (04/2026). arXiv. https://arxiv.org/abs/2509.06774v2
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
Pedagogical Safety In Educational Reinforcement Learning: Formalizing And Detecting Reward Hacking In AI Tutoring Systems
Oluseyi Olukola, Nick Rahimi. (04/2026). arXiv. https://arxiv.org/abs/2604.04237v1

