Learning – Student Support
Research synthesis is AI-generated, human reviewed. Updated 09/2025.
Displaying 241 - 270 of 760
Fairaied: Navigating Fairness, Bias, And Ethics In Educational Ai Applications
Zhipeng Yin, Sribala Vidyadhari Chinta, Zichong Wang, Matthew Gonzalez, Wenbin Zhang. (11/2025). arXiv. https://arxiv.org/abs/2407.18745v2
Cognitively-Inspired Episodic Memory Architectures For Accurate And Efficient Character Ai
Rafael Arias Gonzalez and Steve DiPaola. (11/2025). arXiv. https://arxiv.org/abs/2511.10652v1
Effects of LLM use and note-taking on reading comprehension and memory: A randomised experiment in secondary schools
Pia Kreijkes, Viktor Kewenig, Martina Kuvalja, Mina Lee, Jake M. Hofman, Sylvia Vitello, Abigail Sellen, Sean Rintel, Daniel G. Goldstein, David Rothschild, Lev Tankelevitch, Tim Oates. (11/2025). Computers & Education. https://www.sciencedirect.com/science/article/pii/S0360131525002829
Consistently Simulating Human Personas With Multi-Turn Reinforcement Learning
Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques. (10/2025). arXiv. https://arxiv.org/abs/2511.00222v1
Improving Human Verification Of Llm Reasoning Through Interactive Explanation Interfaces
Runtao Zhou, Anh Totti Nguyen, Giang Nguyen, Nikita Kharya, Chirag Agarwal. (10/2025). arXiv. https://arxiv.org/abs/2510.22922v2
Aiot-Based Smart Education System: A Dual-Layer Authentication And Context-Aware Tutoring Framework For Learning Environments.
Adithya Neelakantan, Pratik Satpute Prerna Shinde, Tejas Manjunatha Devang. (10/2025). arXiv. https://arxiv.org/abs/2510.26999v1
A Systematic Literature Review Of The Use Of Genai Assistants For Code Comprehension: Implications For Computing Education Research And Practice
Yunhan Qiao, Md Istiak Hossain Shihab, Christopher Hundhausen. (10/2025). arXiv. https://arxiv.org/abs/2510.17894v2
Building Ai Literacy At Home: How Families Navigate Children'S Self-Directed Learning With Ai
Jingyi Xie, Chuhao Wu, Ge Wang, Rui Yu, He Zhang, Ronald Metoyer, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.24070v1
"Learning Together": Ai-Mediated Support For Parental Involvement In Everyday Learning
Yao Li, Jingyi Xie, Ya-Fang Lin, He Zhang, Ge Wang, Gaojian Huang, Rui Yu, Si Chen. (10/2025). arXiv. https://arxiv.org/abs/2510.20123v2
Evaluating Ai-Powered Learning Assistants In Engineering Higher Education: Student Engagement, Ethical Challenges, And Policy Implications
Ramteja Sajja, Yusuf Sermet, Brian Fodale, Ibrahim Demir. (10/2025). arXiv. https://arxiv.org/abs/2506.05699v2
Education Paradigm Shift To Maintain Human Competitive Advantage Over Ai
Stanislav Selitskiy, Chihiro Inoue. (10/2025). arXiv. https://arxiv.org/abs/2510.23436v1
Multi-Stakeholder Alignment In Llm-Powered Collaborative Ai Systems: A Multi-Agent Framework For Intelligent Tutoring
Alexandre P Uchoa, Carlo ET Oliveira, Claudia L R Motta, Daniel Schneider. (10/2025). arXiv. https://arxiv.org/abs/2510.23245v1
Pedagogy-Driven Evaluation Of Generative Ai-Powered Intelligent Tutoring Systems
Kaushal Kumar Maurya and Ekaterina Kochmar. (10/2025). arXiv. https://arxiv.org/abs/2510.22581v1
Ai & Data Competencies: Scaffolding Holistic Ai Literacy In Higher Education
Kathleen Kennedy & Anuj Gupta. (10/2025). arXiv. https://arxiv.org/abs/2510.24783v1
Creating A Customisable Socratic Ai Physics Tutor
Eugenio Tufino, Bor Gregorcic. (10/2025). arXiv. https://arxiv.org/abs/2507.05795v2
Towards Ai Agents For Course Instruction In Higher Education: Early Experiences From The Field
Yogesh Simmhan, Varad Kulkarni. (10/2025). arXiv. http://arxiv.org/abs/2510.20255v1
To Use Or To Refuse? Re-Centering Student Agency With Generative Ai In Engineering Design Education
Thijs Willems, Sumbul Khan, Nachamma Sockalingam, Qian Huang, King Wang Poon, Bradley Camburn. (10/2025). arXiv. http://arxiv.org/abs/2510.19342v1
Integration of AI in STEM Education, Addressing Ethical Challenges in K-12 Settings
Shaouna Shoaib Lodhi, Shoaib Lodhi. (10/2025). arXiv. http://arxiv.org/abs/2510.19196v1
Designing Knowledge Tools: How Students Transition From Using To Creating Generative Ai In Steam Classroom
Qian Huang, Nachamma Sockalingam, Thijs Willems, King Wang Poon. (10/2025). arXiv. http://arxiv.org/abs/2510.19405v1
Mapping The Ai Divide In Undergraduate Education: Community Detection In Disciplinary Networks And Survey Evidence
Liwen Zhang, Wei Si, Ke-ke Shang, Jiangli Zhu, Xiaomin Ji. (10/2025). arXiv. http://arxiv.org/abs/2510.19288v1
Plural Voices, Single Agent: Towards Inclusive Ai In Multi-User Domestic Spaces
JOYDEEP CHANDRA*, SATYAM KUMAR NAVNEET*. (10/2025). arXiv. http://arxiv.org/abs/2510.19008v1
Llmbridge: Reducing Costs To Access Llms In A Prompt-Centric Internet
Noah Martin, Abdullah Bin Faisal, Hiba Eltigani, Rukhshan Haroon, Swaminathan Lamelas, Fahad Dogar. (10/2025). arXiv. http://arxiv.org/abs/2410.11857v3
Integrating Large Language Models And Evaluating Student Outcomes In An Introductory Computer Science Course
Annapurna Vadaparty, David H. Smith IV, Samvrit Srinath, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Daniel Zingaro, Leo Porter. (10/2025). arXiv. http://arxiv.org/abs/2510.18806v1
A Survey On Feedback Types In Automated Programming Assessment Systems
Eduard Frankford, Tobias Antensteiner, Michael Vierhauser, Clemens Sauerwein, Vivien Wallner, Iris Groher, Reinhold Plösch, Ruth Breu. (10/2025). arXiv. http://arxiv.org/abs/2510.18923v1
Relief Or Displacement? How Teachers Are Negotiating Generative Al'S Role In Their Professional Practice
Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex J. Bowers, Antonio Vigil, Jason Yip, Julie A. Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katie Davis. (10/2025). arXiv. http://arxiv.org/abs/2510.18296v1
Integrating Generative Al Into Lms: Reshaping Learning And Instructional Design
Xinran Zhu, Liam Magee, Peg Mischler. (10/2025). arXiv. http://arxiv.org/abs/2510.18026v1
Towards Mining Effective Pedagogical Strategies From Learner-Llm Educational Dialogues
Liqun He, Manolis Mavrikis, Mutlu Cukurova. (10/2025). arXiv. http://arxiv.org/abs/2510.17698v1
Interpretability Framework For Llms In Undergraduate Calculus
Sagnik Dakshit, Sushmita Sinha Roy. (10/2025). arXiv. http://arxiv.org/abs/2510.17910v1
Domain-Contextualized Concept Graphs: A Computable Framework For Knowledge Representation
Chao Li, Yuru Wang. (10/2025). arXiv. http://arxiv.org/abs/2510.16802v1
Encouraging Students' Responsible Use Of Genai In Software Engineering Education: An Explanatory Model And Two Institutional Applications
Vahid Garousi, Zafar Jafarov, Aytan Movsumova, Atif Namazov, Huseyn Mirzayev. (10/2025). arXiv. http://arxiv.org/abs/2506.00682v2
