IJIET 2026 Vol.16(4): 1068-1075
doi: 10.18178/ijiet.2026.16.4.2576
doi: 10.18178/ijiet.2026.16.4.2576
Validating a Multidimensional Competency Model for AI Use in Arts Teaching: A Structural Equation Modeling Approach
Chuyen Nguyen Thi Hong, Thieu Nguyen Van*, Thai Doan Thi Minh, Trang Duong Thu,
and Hoa Tran Thi Kim
Faculty of Primary Education, Thai Nguyen University of Education, Thai Nguyen, Vietnam
Email: chuyennh@tnue.edu.vn (C.N.T.H.); thieunv@tnue.edu.vn (T.N.V.); thaidtm@tnue.edu.vn (T.D.T.M.); trangdt@tnue.edu.vn (T.D.T.); hoatk@tnue.edu.vn (H.T.T.K.)
*Corresponding author
Email: chuyennh@tnue.edu.vn (C.N.T.H.); thieunv@tnue.edu.vn (T.N.V.); thaidtm@tnue.edu.vn (T.D.T.M.); trangdt@tnue.edu.vn (T.D.T.); hoatk@tnue.edu.vn (H.T.T.K.)
*Corresponding author
Manuscript received July 23, 2025; revised September 17, 2025; accepted November 12, 2025; published April 15, 2026
Abstract—In the context of accelerated digital transformation in education, Artificial Intelligence (AI) is increasingly recognized as a strategic enabler for personalized, efficient, and data-driven teaching practices. This study proposes and empirically validates a multidimensional competency model for AI integration in arts education. Grounded in the integration of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Technological Pedagogical Content Knowledge (TPACK) frameworks, the model encompasses six latent constructs: foundational AI knowledge, AI-integrated pedagogical skills, ethical awareness, pedagogical efficacy, reflective thinking, and practical AI use behavior. A quantitative design was applied, with survey data collected from 202 arts teachers in Vietnamese K–12 schools. Structural Equation Modeling (SEM) was employed to assess the model’s fit and predictive power. Findings confirm the structural coherence of the model and highlight the interplay between cognitive, ethical, and reflective dimensions in shaping AI adoption in artistic instruction. This research advances theoretical understanding of technology acceptance in creative domains and provides actionable insights for curriculum designers, policymakers, and teacher educators aiming to foster responsible and pedagogically meaningful AI usage in the digital age.
Keywords—artificial intelligence, arts education, teacher competency, technology integration, Structural Equation Modeling (SEM)
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Keywords—artificial intelligence, arts education, teacher competency, technology integration, Structural Equation Modeling (SEM)
Cite: Chuyen Nguyen Thi Hong, Thieu Nguyen Van, Thai Doan Thi Minh, Trang Duong Thu, and Hoa Tran Thi Kim, "Validating a Multidimensional Competency Model for AI Use in Arts Teaching: A Structural Equation Modeling Approach," International Journal of Information and Education Technology, vol. 16, no. 4, pp. 1068-1075, 2026.
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).