Structural modeling

Studies tagged with AI from their full text or abstract; see each study for details.

Showing 1 - 26 of 26 studies

Teaching AI, Robotics, & Community: A Hubs-Based K-12 Education Framework For Reaching Rural Schools

Maxwell J. Jacobson, Gustavo Rodriguez-Rivera, Petros Drineas, Yexiang Xue. (09/2026). arXiv. https://arxiv.org/abs/2609.18072v1
Do Assessment Instruments Measure The Same Thing For Humans And LLMs? A Latent Structure Analysis

Alona Strugatski, Licol Zeinfeld, Giora Alexandron. (08/2026). arXiv. https://arxiv.org/abs/2608.15630v1
Designing Needs- And Attention-Aware AI Learning Tools For Engineering Education: Insights From Psychological Outcomes

Kevin Zhongyang Shao, Denise Wilson, Yale Quan, Sep Makhsous. (07/2026). arXiv. https://arxiv.org/abs/2607.26338v1
Quantifying Perception-Based Student Success With Generative AI: An Exploratory Monte Carlo Simulation

Seyma Yaman Kayadibi. (06/2026). arXiv. https://arxiv.org/abs/2507.01062v4
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. (05/2026). arXiv. https://arxiv.org/abs/2603.27052v3
A Taxonomy Of Metacognitive Learning Scenarios In Professional Contexts: Integrating Systems Theory With Empirical Constraints

David C Gibson, Mary Elizabeth Azukas, Meryem Yilmaz Soylu. (05/2026). arXiv. https://arxiv.org/abs/2605.24142v1
Psychological Mechanisms Of Generative AI Discontinuance Intention Among Chinese - 12 Teachers

Yiran Du, Qian Chen, Huimin He. (05/2026). arXiv. https://arxiv.org/abs/2605.16648v1
Examining University Students' Artificial Intelligence-Generated Content (Aigc) Verification Intention From A Protection Motivation Perspective

Yiran Du. (05/2026). arXiv. https://arxiv.org/abs/2605.16642v1
The Impact Of Coercive, Normative, And Mimetic Stress On Chinese Teachers'Continuance Intention To Use Generative AI: An Integrated Perspective Of The Expectation-Confirmation Model And Institutional Theory

Kunjie Jia, Kai Cui, Huimin He, Yiran Du. (05/2026). arXiv. https://arxiv.org/abs/2605.00522v1
Exploring The Adoption Intention In Using AI-Enabled Educational Tools Among Preservice Teachers In The Philippines: A Partial-Least Square Modeling

Vanessa Baltazar Sibug, Emerson Quiambao Fernando, Almer Balingit Gamboa, Roque Francis Badajos Dianelo, Agnes Romero Regala, Joseph Alexander Bansil, Jan Henry Beltran Sunga, Vernon Grace M. Maniago, John Paul P. Miranda. (04/2026). arXiv. https://arxiv.org/abs/2604.27346v1
Mathematical Modelling Of Ethical AI Use In Higher Education: A Coordination Game Framework For Future-Facing Learning

Ndidi Bianca Ogbo, Zhao Song, Shatha Ghareeb, The Anh Han. (04/2026). arXiv. https://arxiv.org/abs/2605.27400v1
Enabling And Inhibitory Pathways Of University Students' Willingness To Disclose AI Use: A Cognition-Affect-Conation Perspective

Yiran Du, Huimin He. (04/2026). arXiv. https://arxiv.org/abs/2604.21733v1
Examining Eap Students' AI Disclosure Intention: A Cognition-Affect-Conation Perspective

Yiran Du, Huimin He. (04/2026). arXiv. https://arxiv.org/abs/2604.10991v1
Use Of AI Tools: Guidelines To Maintain Academic Integrity In Computing Colleges

Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, and Qamar Wali. (04/2026). arXiv. https://arxiv.org/abs/2604.11111v1
Enabling And Inhibitory Pathways Of Students' AI Use Concealment Intention In Higher Education: Evidence From Sem And Fsqca

Yiran Du, Huimin He. (04/2026). arXiv. https://arxiv.org/abs/2604.10978v1
Bridging Moocs, Smart Teaching, And AI: A Decade Of Evolution Toward A Unified Pedagogy

Bo Yuan, Jiazi Hu. (03/2026). arXiv. https://arxiv.org/abs/2507.14266v2
Learning To Adopt Generative AI

Lijia Ma, Xingchen (Cedric) Xu, Yumei He, Yong Tan. (02/2026). arXiv. https://arxiv.org/pdf/2410.19806v3
The Vibe-Check Protocol: Quantifying Cognitive Offloading In Ai Programming

Aizierjiang Aiersilan. (01/2026). arXiv. https://arxiv.org/pdf/2601.02410v1
Objective Measurement Of AI Literacy: Development And Validation Of The Ai Competency Objective Scale (AIcos)

André Markusa, Astrid Carolusb, Carolin Wienricha. (12/2025). arXiv. https://arxiv.org/abs/2503.12921v2
Understanding Human-Ai Trust In Education

Griffin Pitts, Sanaz Motamedi. (11/2025). arXiv. https://arxiv.org/abs/2506.09160v4
Exploring The Psychometric Validity Of Ai-Generated Student Responses: A Study On Virtual Personas' Learning Motivation

Huanxiao Wang. (11/2025). arXiv. https://arxiv.org/abs/2511.07451v1
High School Science Profile Predicts Adults' Views on the Future of AI and STS

Gyeonggeon "Boaz" Lee. (08/2025). arXiv. http://arxiv.org/pdf/2508.12083v1
AI Literacy as a Key Driver of User Experience in AI-Powered Assessment: Insights from Socratic Mind

Meryem Yilmaz Soylu, Jeonghyun Lee, Jui-Tse Hung, Christopher Zhang Cui, David A. Joyner. (07/2025). arXiv. http://arxiv.org/pdf/2507.21654v1
How trust networks shape students' opinions about the proficiency of artificially intelligent assistants

Yutong Bu, Andrew Melatos, Robin Evans. (06/2025). arXiv. http://arxiv.org/pdf/2506.19655v1
A Self-Efficacy Theory-based Study on the Teachers' Readiness to Teach Artificial Intelligence in Public Schools in Sri Lanka

Chathura Rajapakse, Wathsala Ariyarathna, Shanmugalingam Selvakan. (12/2024). arXiv. https://arxiv.org/pdf/2412.19425
Understanding the Dynamics of ChatGPT Adoption Among Undergraduate Students: Dataset from a Philippine State University

Celbert M. Himanga, Samuel C. Villa Jr., Neljun Espedilla Mayorga, Nelson Fuentes Nolon, Gregorio P. Pajaron Jr., Engezbent Mirasol Himang. (07/2023). SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4489186