Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 61 - 90 of 484
Search In Transition: A Study Of University Students' Perspectives On Using Llms And Traditional Search Engines In English Test Problem Solving For Higher Study
Tarek Rahman, Md Shaharia Hossen, Mark Protik Mondol, Jannatun Noor Mukta. (02/2026). arXiv. https://arxiv.org/pdf/2602.13629v2
What Makes An Expert? Comparing Problem-Solving Practices In Data Science Notebooks
Manuel Valle Torre, Marcus Specht, Catharine Oertel. (02/2026). arXiv. https://arxiv.org/pdf/2602.15428v1
From Diagnosis To Inoculation: Building Cognitive Resistance To AI Disempowerment
Aleksey Komissarov. (02/2026). arXiv. https://arxiv.org/pdf/2602.15265v1
Dataset Of GenAI-Assisted Information Problem Solving In Education
Xinyu Li, Kaixun Yang, Jiameng Wei, Yixin Cheng, Dragan Gasevic, Guanliang Chen. (02/2026). arXiv. https://arxiv.org/pdf/2601.12718v2
Learning To Adopt Generative AI
Lijia Ma, Xingchen (Cedric) Xu, Yumei He, Yong Tan. (02/2026). arXiv. https://arxiv.org/pdf/2410.19806v3
Arapai: An Offline-First AI Chatbot Architecture For Low-Connectivity Educational Environments
Joseph Walusimbi, Ann Move Oguti, Joshua Benjamin Ssentongo, Keith Ainebyona. (02/2026). arXiv. https://arxiv.org/pdf/2603.03339v1
Drawing Your Programs: Exploring The Applications Of Visual-Prompting With Genai For Teaching And Assessment
David H. Smith IV, S. Moonwara A. Monisha, Leo Porter, Annapurna Vadaparty, Daniel Zingaro. (02/2026). arXiv. https://arxiv.org/pdf/2602.10529v1
Integrating Generative AI-Enhanced Cognitive Systems In Higher Education: From Stakeholder Perceptions To A Conceptual Framework Considering The Eu AI Act
Da-Lun Chen, Prasasthy Balasubramanian, Lauri Loven, Susanna Pirttikangas, Jaakko Sauvola, Panagiotis Kostakos. (02/2026). arXiv. https://arxiv.org/pdf/2602.10802v1
Designing And Evaluating An AI-Enhanced Immersive Multidisciplinary Simulation (Aims) For Interprofessional Education
Ruijie Wang, Jie Lu, Bo Pei, Evonne Jones, James Brinson, Timothy Brown. (02/2026). arXiv. https://arxiv.org/pdf/2510.08891v2
From Search To Genai Queries: Global Trends In Physics Information-Seeking Across Topics And Regions
Yossi Ben-Zion, Omer Michaeli, Noah D. Finkelstein. (02/2026). arXiv. https://arxiv.org/pdf/2602.09550v1
How University Disability Services Professionals Write Image Descriptions For Hci Figures Using Generative AI
Muhammad Raees, Yugo Iwamoto, Konstantinos Papangelis, Jamison Heard, Garreth W. Tigwell. (02/2026). arXiv. https://arxiv.org/pdf/2602.08937v1
Measuring Inclusion In Interaction: Inclusion Analytics For Human-AI Collaborative Learning
JAEYOON CHOI, NIA NIXON. (02/2026). arXiv. https://arxiv.org/pdf/2602.09269v1
AI-Assisted Model For Generating Multiple-Choice Questions
Tetiana Krushynska, Jani Ursin, Ville Heilala. (02/2026). arXiv. https://arxiv.org/pdf/2602.08383v1
Kahaani: A Multimodal Co-Creative Storytelling System
Samee Arif, Muhammad Saad Haroon, Aamina Jamal Khan, Taimoor Arif, Agha Ali Raza, Awais Athar. (02/2026). arXiv. https://arxiv.org/pdf/2409.11261v6
Open Tutorai: An Open-Source Platform For Personalized And Immersive Learning With Generative AI
Mohamed EL HAJJI, Tarek AIT BAHA, Aicha DAKIR, Hammou FADILI, Youssef ES-SAADY. (02/2026). arXiv. https://arxiv.org/pdf/2602.07176v1
Classaid: A Real-Time Instructor-AI-Student Orchestration System For Classroom Programming Activities
Gefei Zhang, Guodao Sun, Meng Xia, Ronghua Liang. (02/2026). arXiv. https://arxiv.org/pdf/2602.06734v1
Beagle: Behavior-Enforced Agent For Grounded Learner Emulation
Hanchen David Wang, Clayton Cohn, Zifan Xu, Siyuan Guo, Gautam Biswas, Meiyi Ma. (02/2026). arXiv. https://arxiv.org/pdf/2602.13280v1
Calibrating Generative AI To Produce Realistic Essays For Data Augmentation
Edward W. Wolfe, Justin O. Barber, Pearson. (02/2026). arXiv. https://arxiv.org/pdf/2602.06772v1
Personalized Learning Path Planning Through Goal-Driven Learner State Modeling
Joy Jia Yin Lim, Ye He, Jifan Yu, Xin Cong, Daniel Zhang-Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu. (02/2026). arXiv. https://arxiv.org/pdf/2510.13215v2
Lessons Learned From Integrating Generative AI Into An Introductory Undergraduate Astronomy Course At Harvard
Christopher W. Stubbs, Dongpeng Huang, Jungyoon Koh, Madeleine Woods, Andres A. Plazas Malagon. (02/2026). arXiv. https://arxiv.org/pdf/2602.04389v1
Evaluating Large Language Models On Solved And Unsolved Problems In Graph Theory: Implications For Computing Education
Adithya Kulkarni, Mohna Chakraborty, Jay Bagga. (02/2026). arXiv. https://arxiv.org/pdf/2602.05059v1
Comparative Insights On Adversarial Machine Learning From Industry And Academia: A User-Study Approach
Vishruti Kakkad, Paul Chung, Hanan Hibshi, Maverick Woo. (02/2026). arXiv. https://arxiv.org/pdf/2602.04753v1
Exploring The Role Of Tracing In AI-Supported Planning For Algorithmic Reasoning
Yoshee Jain, Heejin Do, Zihan Wu, April Yi Wang. (02/2026). arXiv. https://arxiv.org/pdf/2602.03197v1
Exploring Emerging Norms Of AI Disclosure In Programming Education
Runlong Ye, Jessica He, Oliver Huang, Michael Liut. (02/2026). arXiv. https://arxiv.org/pdf/2602.04023v1
From Crafting Text To Crafting Thought: Grounding AI Writing Support To Writing Center Pedagogy
Yijun Liu, John Gallagher, Sarah Sterman, Tal August. (02/2026). arXiv. https://arxiv.org/pdf/2602.04047v1
Digital Lifelong Learning In The Age Of AI: Trends And Insights
Geeta Puri, Nachamma Socklingam, Dorien Herremans. (02/2026). arXiv. https://arxiv.org/pdf/2602.03114v1
Student Perceptions Of Large Language Models Use In Self-Reflection And Design Critique In Architecture Studio
Juan David Salazar Rodriguez, Sam Conrad Joyce, Nachamma Sockalingam, Khoo Eng Tat, Julfendi. (02/2026). arXiv. https://arxiv.org/pdf/2602.00041v2
The Psychology Of Learning From Machines: Anthropomorphic Ai And The Paradox Of Automation In Education
Junaid Qadir, Muhammad Mumtaz. (02/2026). arXiv. https://arxiv.org/pdf/2601.06172v2
Drawsim-Pd: Simulating Student Science Drawings To Support Ngss-Aligned Teacher Diagnostic Reasoning
Arijit Chakma, Peng He, Honglu Liu, Zeyuan Wang, Tingting Li, Tiffany D. Do, and Feng Liu. (02/2026). arXiv. https://arxiv.org/pdf/2602.01578v1
Facet: Multi-Agent Ai Supporting Teachers In Scaling Differentiated Learning For Diverse Students
Jana Gonnermann-Muller, Jennifer Haase, Nicolas Leins, Moritz Igel, Konstantin Fackeldey and Sebastian Pokutta. (01/2026). arXiv. https://arxiv.org/pdf/2601.22788v1
