Integrating Intelligent-Technological Pedagogical and Content Knowledge (Intelligent-TPACK) and Tripartite Models to Examine Teachers’ Knowledge and Attitudes Toward Artificial Intelligence (AI)

Authors

  • Mina Alhiane Mohammed V University Author
  • Youssef Nafidi Mohammed V University Author

Keywords:

AI Integration, Artificial Intelligence, Intelligent-TPACK, Structural Equation Modeling, Education Technology, Tripartite Model of Attitudes, Teacher Knowledge

Abstract

Artificial Intelligence (AI) technologies have transformed 
educational practices, yet their effective integration in K–12 
classrooms, particularly in the Moroccan context, remains 
underexplored. This study aims to examine teachers’ 
knowledge and attitudes toward AI integration using the 
Intelligent-Technological 
Pedagogical 
and 
Content 
Knowledge (Intelligent-TPACK) framework and the Tripartite 
Model of Attitudes. A total of 204 Moroccan teachers 
participated in a survey. Collected data were analyzed 
through Exploratory and Confirmatory Factor Analyses, 
followed by Structural Equation Modeling (SEM) using 
SmartPLS. Results confirmed the validity of both models and 
revealed that Intelligent Techno-Pedagogical Knowledge 
(ITPK) is the strongest predictor of teachers’ affective, 
behavioral, and cognitive attitudes toward AI. Ethical 
considerations significantly influenced cognitive attitudes, 
indicating reflective rather than resistant views toward AI 
adoption. These findings suggest that integrating 
pedagogical and ethical awareness into teacher training 
programs can foster positive attitudes and responsible AI 
use, supporting national education reforms aligned with 
Sustainable Development Goal 4 on quality education. 

Author Biographies

  • Mina Alhiane, Mohammed V University

    Faculty of Educational Sciences

  • Youssef Nafidi , Mohammed V University

    Faculty of Educational Sciences

References

Al-Abdullatif, A. M. (2024). Modeling teachers’ acceptance of generative artificial intelligence

use in higher education: The role of AI literacy, Intelligent TPACK, and perceived trust.

Education Sciences, 14(11), 1209.

Ali, I. A. K. A. (2023). Les compétences technopédagogiques chez les enseignants de FLE:

analyse des effets sur les pratiques enseignantes. Research in Language Teaching, 4(22),

-59

Archambault, L. M., and Barnett, J. H. (2010). Revisiting technological pedagogical content

knowledge: Exploring the TPACK framework. Computers and Education, 55(4), 1656

Biyouda, S., and Zahid, A. (2021). La qualité de l’enseignement au Maroc et la motivation des

enseignants: Des réformes dans un climat de travail dégradé. Revue Économie and

Kapital, 20, 20.

Breckler, S. J. (1984). Empirical validation of affect, behavior, and cognition as distinct

components of attitude. Journal of Personality and Social Psychology, 47(6), 1191–1205.

Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional

knowledge to ethically integrate artificial intelligence (AI)-based tools into education.

Computers in Human Behavior, 138, 107468.

Chai, C. S., Koh, J. H. L., and Tsai, C.-C. (2010). Facilitating preservice teachers’ development

of technological, pedagogical, and content knowledge (TPACK). Educational Technology

and Society, 13(4), 63–73.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of

information technology. MIS Quarterly, 13(3), 319–340.

Dilling, F., and Vogler, A. (2023). Pre-service teachers’ reflections on attitudes towards

teaching and learning mathematics with online platforms at school: A case study in the

context of a university online training. Technology, Knowledge and Learning, 28(3), 1401

Donat, E., Brandtweiner, R., and Kerschbaum, J. (2009). Attitudes and the digital divide:

Attitude measurement as instrument to predict internet usage. Informing Science: The

International Journal of an Emerging Transdiscipline, 12, 37–56.

Gorani, A. E. (2021). La mise en œuvre de la stratégie nationale de la formation continue des

ressources humaines dans le cadre de la réforme éducative au Maroc. International

Journal of Accounting, Finance, Auditing, Management and Economics, 2(5), 5.

Hair, J. F., Ringle, C. M., and Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of

Marketing Theory and Practice, 19(2), 139–152.

Koehler, M., and Mishra, P. (2009). What is technological pedagogical content knowledge

(TPACK)?. Contemporary Issues in Technology and Teacher Education, 9(1), 60-70.

McIntosh, A. R., and Gonzalez-Lima, F. (1994). Structural equation modeling and its

application to network analysis in functional brain imaging. Human Brain Mapping, 2(1

, 2–22.

Mishra, P., and Koehler, M. J. (2006). Technological pedagogical content knowledge: A

framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.

Nejjari, A., and Bakkali, I. (2017). L’usage des TIC à l’école marocaine: État des lieux et

perspectives. Hermès, La Revue, 78(2), 55–61.

Ning, Y., Zhang, C., Xu, B., Zhou, Y., and Wijaya, T. T. (2024). Teachers’ AI-TPACK: Exploring the

relationship between knowledge elements. Sustainability, 16(3), 978.

Petko, D., Mishra, P., and Koehler, M. J. (2025). TPACK in context: An updated model.

Computers and Education Open, 8, 100244.

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., and Ringle, C. M.

(2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict.

European Journal of Marketing, 53(11), 2322–2347.

Yang, P., Liu, Y., and Li, Y. (2025). The mediating role of self-regulation in fostering Intelligent

TPACK and ethics in physical education teacher education students. Scientific Reports,

(1), 34126.

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Published

2026-09-01