Learning – Student Support
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 31 - 60 of 827
Multi-Level Barriers To Generative AI Adoption Across Disciplines And Professional Roles In Higher Education
Jianhua Yang, Kerem Oge, Adrian von Muhlenen, Abdullah Bilal Akbulut, Tanya Suzanne Carey, Chidi Okorro. (03/2026). arXiv. https://arxiv.org/abs/2603.27052v1
Exploring The Integration Of Extended Reality And Artificial Intelligence (AI) For Remote STEM Education And Assessment
Shadeeb Hossain, Neda Adib, Natalie Sommer. (03/2026). arXiv. https://arxiv.org/abs/2509.03812v2
Beyond Detection: Rethinking Education In The Age Of AI-Writing
Maria Marina, Alexander Panchenko, and Vasily Konovalov. (03/2026). arXiv. https://arxiv.org/abs/2603.25329v1
The Landscape Of AI In Science Education: What Is Changing And How To Respond
Xiaoming Zhai, Kent Crippen. (03/2026). arXiv. https://arxiv.org/abs/2602.18469v2
To Use Or Not To Use: Investigating Student Perceptions Of Faculty Generative AI Usage In Higher Education
Jie Gao, Jiayi Zhang, Dan Chen. (03/2026). arXiv. https://arxiv.org/abs/2603.25932v1
An Experimental Evaluation Of An AI-Powered Interactive Learning Platform
Courtney Heldreth, Diana Akrong, Laura M. Vardoulakis, Nicole E. Miller, Yael Haramaty, Lidan Hackmon, Lior Belinsky, Abraham Ortiz Tapia, Lucy Tootill, Scott Siebert. (03/2026). arXiv. https://arxiv.org/abs/2509.18664v2
Visual Or Textual: Effects Of Explanation Format And Personal Characteristics On The Perception Of Explanations In An Educational Recommender System
Qurat Ul Ain, Mohamed Amine Chatti, Nasim Yazdian Varjani, Farah Kamal, Astrid Rosenthal-von der Putten. (03/2026). arXiv. https://arxiv.org/abs/2603.25624v1
Evaluating Adaptive And Generative AI-Based Feedback And Recommendations In A Knowledge-Graph-Integrated Programming Learning System
Lalita Na Nongkhai, Jingyun Wang, Adam Wynn, Takahiko Mendori. (03/2026). arXiv. https://arxiv.org/abs/2603.24940v1
Design Implications For Student And Educator Needs In AI-Supported Programming Learning Tools
Boxuan Ma, Yinjie Xie, Huiyong Li, Gen Li, Li Chen, Atsushi Shimada, Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22673v1
Three Years With Classroom AI In Introductory Programming: Shifts In Student Awareness, Interaction, And Performance
Boxuan Ma, Huiyong Li, Gen Li, Li Chen, Cheng Tang, Atsushi Shimada, and Shin'ichi Konomi. (03/2026). arXiv. https://arxiv.org/abs/2603.22672v1
Reflected: Evaluating Reflection-Driven Learning In An AI-Assisted System
Md Nazmus Sakib, Ishika Tarin, Naga Manogna Rayasam, Manas Gaur, Sanorita Dey. (03/2026). arXiv. https://arxiv.org/abs/2512.24632v2
Unpacking Interaction Profiles And Strategies In Human-AI Collaborative Problem Solving: A Cognitive Distribution And Regulation Perspective
Zhanxin Hao, Xiaobo Liu, Jiaxin Fan, Yun Long, Jifan Yu, Wenli Chen, Yu Zhang. (03/2026). arXiv. https://arxiv.org/abs/2603.21288v1
Towards An AI Buddy For Every University Student? Exploring Students' Experiences, Attitudes And Motivations Towards AI And AI-Based Study Companions
Judit Martínez Moreno, Markus Christen, Abraham Bernstein. (03/2026). arXiv. https://arxiv.org/abs/2603.20909v1
AI In Work-Based Learning: Understanding The Purposes And Effects Of Intelligent Tools Among Student Interns
John Paul P. Miranda, Rhiziel P. Manalese, Sheila M. Geronimo, Vernon Grace M. Maniago, Charlie K. Padilla, Aileen P. De Leon, Santa L. Merle, Mark Anthony A. Castro. (03/2026). arXiv. https://arxiv.org/abs/2603.28786v1
From School AI Readiness To Student AI Literacy: A National Multilevel Mediation Analysis Of Institutional Capacity And Teacher Capability
Xiu Guana, Mingmin Zhenga, Dragan Gascevic, Wenxin Guo, Yingqun Liua, Xibin Hana, Danijela Gasevic, Ruiling Mad, Qi Wua and Lixiang Yana,b. (03/2026). arXiv. https://arxiv.org/abs/2603.20056v1
Plagiarism Or Productivity? Students Moral Disengagement And Behavioral Intentions To Use ChatGPT In Academic Writing
John Paul P. Miranda, Rhiziel P. Manalese, Mark Anthony A. Castro, Renen Paul M. Viado, Vernon Grace M. Maniago, Rudante M. Galapon, Jovita G. Rivera, Amado B. Martinez, Jr.. (03/2026). arXiv. https://arxiv.org/abs/2603.19549v1
Beyond Accuracy: Towards A Robust Evaluation Methodology For AI Systems For Language Education
James Edgell, Wm. Matthew Kennedy, Isaac Pattis, Ben Knight, Danielle Carvalho, Elizabeth Wonnacott. (03/2026). arXiv. https://arxiv.org/abs/2603.20088v1
Quantifying Student Success With Generative AI: A Monte Carlo Simulation Informed By Systematic Review
Seyma Yaman Kayadibi. (03/2026). arXiv. https://arxiv.org/abs/2507.01062v3
From Slides To Chatbots: Enhancing Large Language Models With University Course Materials
Tu Anh Dinh, Philipp Nicolas Schumacher, Jan Niehues. (03/2026). arXiv. https://arxiv.org/abs/2510.22272v2
Large Language Models In Teaching And Learning: Reflections On Implementing An AI Chatbot In Higher Education
Fiammetta Caccavale, Carina L. Gargalo, Julian Kager, Magdalena Skowyra, Steen Larsen, Krist V. Gernaey, Ulrich Kruhne. (03/2026). arXiv. https://arxiv.org/abs/2603.17773v1
Effective Personalized AI Tutors Via Llm-Guided Reinforcement Learning
Angel Tsai-Hsuan Chung, Botong Zhang, Ling-Chieh Kung, Hamsa Bastani, Osbert Bastani. (03/2026). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6423358
Auditing Student-Ai Collaboration: A Case Study Of Online Graduate CS Students
Nifu Dan. (03/2026). arXiv. https://arxiv.org/abs/2601.08697v4
Teaching Agile Requirements Engineering: A Stakeholder Simulation With Generative AI
Eva-Maria Schon, Michael Neumann, Tiago Silva da Silva. (03/2026). arXiv. https://arxiv.org/abs/2603.12925v1
The Rigid Framework: Research-Integrated, Generative AI-Mediated Instructional Design
Yerin Kwak, Zachary A. Pardos. (03/2026). arXiv. https://arxiv.org/abs/2603.12781v1
Scaling Laws For Educational AI Agents
Mengsong Wu, Hao Hao, Shuzhen Bi, Keqian Li, Wentao Liu, Siyu Song, Hongbo Zhao, and Aimin Zhou. (03/2026). arXiv. https://arxiv.org/abs/2603.11709v1
Ella: Generative AI-Powered Social Robots For Early Language Development At Home
VICTOR NIKHIL ANTONY, SHIYE CAO, SHUNING WANG, CHIEN-MING HUANG. (03/2026). arXiv. https://arxiv.org/abs/2603.12508v1
AI Chatbots Or Human Therapists? Belief-Based Predictors Of Mental Health Help-Seeking Intentions In The Age Of Generative AI
Junsang Park, Sarah A. Brown, David L. Vogel, Nan Zhao, and Sharon Lynn Chu. (03/2026). arXiv. https://arxiv.org/abs/2512.03406v2
The Future Of Feedback: How Can AI Help Transform Feedback To Be More Engaging, Effective, And Scalable?
Jennifer Meyer, Olaf Kuller, Thorben Jansen, Johanna Fleckenstein, Michael W. Asher, Sarah Bichler, Laura Brandl, Jasmin Breitwieser, Kai S. Cortina, Mutlu Cukurova, Martin Daumiller, Hannah Deininger, Frank Fischer, Dragan Gasevic, Jeanine Grutter, Anna Hilz, Ioana Jivet, Jelena Jovanovic, Rene F. Kizilcec, Livia Kuklick, Marlit Annalena Lindner, Anastasiya Lipnevich, Ute Mertens, Detmar Meurers, Kou Murayama, Tanya Nazaretsky, Knut Neumann, Ernesto Panadero, Maciej Pankiewicz, Zachary A. Pardos, Chris Piech, Hannah Punjer, Nikol Rummel, Marlene Steinbach, Olga Viberg, Naomi Winstone. (03/2026). arXiv. https://arxiv.org/abs/2603.12463v1
Generative AI Technologies And Educational Outcomes: A Comprehensive Meta-Analysis Comparing Traditional And AI-Driven Approaches
Ying Dong. (03/2026). Humanities and Social Sciences Communications. https://www.nature.com/articles/s41599-026-06903-y
