Breadcrumb
- Home
- AI Hub For Education
- Research Study Repository
- Learning – Student Support
Learning – Student Support
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 121 - 150 of 682
Liberating Logic In The Age Of Ai: Going Beyond Programming With Computational Thinking
Douglas C. Schmidt and Dan Runfola. (11/2025). arXiv. https://arxiv.org/abs/2511.17696v1
Generative Ai As A Learning Buddy And A Teaching Assistant: Preservice Teachers' Use And Attitudes
Matthew Nyaaba, Lehong Shi, Macharious Nabang Patrick Kyeremeh, Xiaoming Zhai, Samuel Arthur Ayoberd, Bismark Nyaaba Akanzire. (11/2025). arXiv. https://arxiv.org/abs/2407.11983v2
Generative Ai And Power Imbalances In Global Education: Frameworks For Bias Mitigation
Matthew Nyaaba, Alyson Wright, Gyu Lim Choi. (11/2025). arXiv. https://arxiv.org/abs/2406.02966v4
Build Ai Assistants Using Large Language Models And Agents To Enhance The Engineering Education Of Biomechanics
Hanzhi Yan, Qin Lu, Xianqiao Wang, Xiaoming Zhai, Tianming Liu, He Li. (11/2025). arXiv. https://arxiv.org/abs/2511.15752v1
Navigating The Ethical And Societal Impacts Of Generative Ai In Higher Computing Education
Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Hale Rattigan, Judy Sheard, Tingting Zhu. (11/2025). arXiv. https://arxiv.org/abs/2511.15768v1
Simulated Human Learning In A Dynamic, Partially-Observed, Time-Series Environment
Jeffrey Jiang, Kevin Hong, Gregory Pottie, Emily Kuczynski. (11/2025). arXiv. https://arxiv.org/abs/2511.15032v1
A Framework For Developing University Policies On Generative Ai Governance: A Cross-National Comparative Study
Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng, Lilan Chen, Beverley Anne Yamamoto, Fei Cheng, Masayuki Murakami. (11/2025). arXiv. https://arxiv.org/abs/2504.02636v2
Enabling Blind And Visually Impaired Individuals To Pursue Careers In Science
L. Petitdemange and S. Nashed. (11/2025). arXiv. https://arxiv.org/abs/2511.17620v1
Examining The Usage Of Generative Ai Models In Student Learning Activities For Software Programming
Rufeng Chen, Shuaishuai Jiang, AJung Moon, Jiyun Shen, Lili Wei. (11/2025). arXiv. https://arxiv.org/abs/2511.13271v1
The Quick Red Fox Gets The Best Data Driven Classroom Interviews: A Manual For An Interview App And Its Associated Methodology Version 1.0
Jaclyn Ocumpaugh, Luc Paquette, Ryan Baker, Amanda Barany, Jeff Ginger, Neithan Casano, Andres Zambrano, Xiner Liu, Zhanlan Wei, Yiqui Zhou, Sophie Liu, Stephen Hutt, Alexis Andres, Nidhi Nasiar, Camille Giordano, Martin van Velsen, Michael Mogessie. (11/2025). arXiv. https://arxiv.org/abs/2511.13466v1
The Unspoken Crisis Of Learning: The Surging Zone Of No Development
Euzeli C. dos Santos Jr., Tracey Birdwell. (11/2025). arXiv. https://arxiv.org/abs/2511.12822v1
Collaclassroom: An Al-Augmented Collaborative Learning Platform With Llm Support In The Context Of Bangladeshi University Students
Salman Sayeed, Bijoy Ahmed Saiem, Al-Amin Sany, Sadia Sharmin, A. B. M. Alim Al Islam. (11/2025). arXiv. https://arxiv.org/abs/2511.11823v1
How Physics Professors Use And Frame Generative Ai Tools
Vidar Skogvoll, Tor Ole Odden. (11/2025). arXiv. https://arxiv.org/abs/2511.11317v1
Beyond The Hype: Critical Analysis Of Student Motivations And Ethical Boundaries In Educational Ai Use In Higher Education
Adeleh Mazaheriyan, Erfan Nourbakhsh. (11/2025). arXiv. https://arxiv.org/abs/2511.11369v1
Pustak Ai: Curriculum-Aligned And Interactive Textbooks Using Large Language Models
Shivam Sharma, Riya Naik, Tejas Gawas, Heramb Patil, Kunal Korgaonkar. (11/2025). arXiv. https://arxiv.org/abs/2511.10002v2
Owlgorithm: Supporting Self-Regulated Learning In Competitive Programming Through Llm-Driven Reflection
Juliana Nieto-Cardenas, Erin Joy Kramer, Peter Kurto, Ethan Dickey, Andres Bejarano. (11/2025). arXiv. https://arxiv.org/abs/2511.09969v1
Bridging Lms And Generative Ai: Dynamic Course Content Integration (Dcci) For Enhancing Student Satisfaction And Engagement Via The Ask Me Assistant
Kovan Mzwri, M√°rta Turcs√°nyi-Szabo. (11/2025). arXiv. https://arxiv.org/abs/2504.03966v2
Bridging The Skills Gap: A Course Model For Modern Generative Ai Education
Anya Bardach, Hamilton Murrah. (11/2025). arXiv. https://arxiv.org/abs/2511.11757v1
Understanding Human-Ai Trust In Education
Griffin Pitts, Sanaz Motamedi. (11/2025). arXiv. https://arxiv.org/abs/2506.09160v4
Uco: A Multi-Turn Interactive Reinforcement Learning Method For Adaptive Teaching With Large Language Models
Shouang Wei, Min Zhang, Xin Lin, Bo Jiang, Kun Kuang, Zhongxiang Dai. (11/2025). arXiv. https://arxiv.org/abs/2511.08873v1
Computational Blueprints: Generating Isomorphic Mathematics Problems With Large Language Models
Jeong-Hoon Kim, Jinwoo Nam, Geunsik Jo. (11/2025). arXiv. https://arxiv.org/abs/2511.07932v1
Ai Tutoring Can Safely And Effectively Support Students: An Exploratory Rct In Uk Classrooms
LearnLM Team, Google & Eedi. (11/2025). Google. https://storage.googleapis.com/deepmind-media/LearnLM/learnLM_nov25.pdf
Report From Workshop On Dialogue Alongside Artificial Intelligence
Thomas J McKenna, Ingvill Rasmussen, Sten Ludvigsen, Avivit Arvatz, Christa Asterhan, Gaowei Chen, Julie Cohen, Michele Flammia, Dongkeun Han, Emma Hayward, Heather Hill, Yifat Kolikant, Helen Lehndorf, Kexin Li, Lindsay Clare Matsumura, Henrik Tj‚àö‚àènn, Pengjin Wang, Rupert Wegerif. (11/2025). arXiv. https://arxiv.org/abs/2511.05625v2
Eduguardbench: A Holistic Benchmark For Evaluating The Pedagogical Fidelity And Adversarial Safety Of Llms As Simulated Teachers
Yilin Jiang, Mingzi Zhang, Xuanyu Yin, Sheng Jin, Suyu Lu, Zuocan Ying, Zengyi Yu, Xiangjie Kong. (11/2025). arXiv. https://arxiv.org/abs/2511.06890v1
Mentor: A Metacognition-Driven Self-Evolution Framework For Uncovering And Mitigating Implicit Risks In Llms On Domain Tasks
Liang Shan, Kaicheng Shen, Wen Wu, Zhenyu Ying, Chaochao Lu, Guangze Ye, Liang He. (11/2025). arXiv. https://arxiv.org/abs/2511.07107v1
Closing The Loop: An Instructor-In-The-Loop Ai Assistance System For Supporting Student Help-Seeking In Programming Education
Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla. (11/2025). arXiv. https://arxiv.org/abs/2510.14457v2
Understanding Student Interaction With Ai-Powered Next-Step Hints: Strategies And Challenges
Anastasiia Birillo, Aleksei Rostovskii, Yaroslav Golubev, Hieke Keuning. (11/2025). arXiv. https://arxiv.org/abs/2511.06362v1
Simulating Students With Large Language Models: A Review Of Architecture, Mechanisms, And Role Modelling In Education With Generative Ai
Luis Marquez-Carpintero, Alberto Lopez-Sellers, Miguel Cazorla. (11/2025). arXiv. https://arxiv.org/abs/2511.06078v1
The Imperfect Learner: Incorporating Developmental Trajectories In Memory-Based Student Simulation
Zhengyuan Liu, Stella Xin Yin, Bryan Chen Zhengyu Tan, Roy Ka-Wei Lee, Guimei Liu, Dion Hoe-Lian Goh, Wenya Wang, Nancy F. Chen. (11/2025). arXiv. https://arxiv.org/abs/2511.05903v1

