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Quantitative – Others
Research synthesis is AI-generated, human reviewed. Updated 05/2026.
Displaying 121 - 150 of 554
Baseline Performance Of AI Tools In Classifying Cognitive Demand Of Mathematical Tasks
Danielle S. Fox, Brenda L. Robles, Elizabeth DiPietro Brovey, Christian D. Schunn. (03/2026). arXiv. https://arxiv.org/pdf/2603.03512v1
Demonstrating Vividoc: Generating Interactive Documents Through Human-Agent Collaboration
Yinghao Tang, Yupeng Xie, Yingchaojie Feng, Tingfeng Lan, Wei Chen. (03/2026). arXiv. https://arxiv.org/pdf/2603.01912v1
Vizqstudio: Iterative Visualization Literacy Mcqs Design With Simulated Students
Zixin Chen, Yuhang Zeng, Sicheng Song, Yanna Lin, Xian Xu, Huamin Qu, Meng Xia. (03/2026). arXiv. https://arxiv.org/pdf/2603.00994v1
When AI Evaluates Its Own Work: Validating Learner-Initiated, AI-Generated Physics Practice Problems
Tobias Geisler, Gerd Kortemeyer. (02/2026). arXiv. https://arxiv.org/pdf/2511.15768v2
Talebot: A Tangible AI Companion To Support Children In Co-Creative Storytelling For Resilience Cultivation
Yonglin Chen, Jingjing Zhang, Kezhuo Wang, Pengcheng An, Xueliang Li. (02/2026). arXiv. https://arxiv.org/pdf/2602.23095v1
Games That Teach, Chats That Convince: Comparing Interactive And Static Formats For Persuasive Learning
SEYED HOSSEIN ALAVI, ZINING WANG, SHRUTHI CHOCKKALINGAM, RAYMOND T. NG, VERED SHWARTZ. (02/2026). arXiv. https://arxiv.org/pdf/2602.17905v2
Pedaco-Gen: Scaffolding Pedagogical Agency In Human-AI Collaborative Video Authoring
Injun Baek, Yearim Kim, Nojun Kwak. (02/2026). arXiv. https://arxiv.org/pdf/2602.19623v1
Aitutor-Evalkit: Exploring The Capabilities Of AI Tutors
Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, Ekaterina Kochmar. (02/2026). arXiv. https://arxiv.org/pdf/2512.03688v2
Beyond Single-Turn: A Survey On Multi-Turn Interactions With Large Language Models
Yubo Li, Xiaobin Shen, Xinyu Yaot, Xueying Ding, Yidi Miaot, Krishnan Ramayya, Rema Padman. (02/2026). arXiv. https://arxiv.org/pdf/2504.04717v5
"How Do I . . . ?": Procedural Questions Predominate Student-Llm Chatbot Conversations
Alexandra Neagu, Marcus Messer, Peter Johnson, and Rhodri Nelson. (02/2026). arXiv. https://arxiv.org/pdf/2602.18372v1
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
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
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
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
Measuring Inclusion In Interaction: Inclusion Analytics For Human-AI Collaborative Learning
JAEYOON CHOI, NIA NIXON. (02/2026). arXiv. https://arxiv.org/pdf/2602.09269v1
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
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
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
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
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
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
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
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
