Artificial Intelligence (AI) and Industrial Revolution (IR) 4.0 Readiness for Teaching and Learning Competency among 21st Century Pre-Service History Teachers in Sabah

Authors

  • Arzizul Bin Antin Faculty of Education and Sports Studies, University Malaysia Sabah, Malaysia
  • Dg Norizah Binti Ag Kiflee@ Dzulkifli Faculty of Education and Sports Studies, University Malaysia Sabah, Malaysia

Keywords:

AI Readiness, IR 4.0, Pre-Service History Teachers, Teaching Practices

Abstract

This concept paper investigates the readiness of pre-service History teachers in University Malaysia Sabah to integrate Artificial Intelligence (AI) and Fourth Industrial Revolution (IR 4.0) technologies into their teaching practices. It addresses the current gap between national policy ambitions and practical implementation, especially within non-STEM disciplines like history. Using a mixed-methods approach, the research applies three key theoretical frameworks including Technology Acceptance Model (TAM), Technological Pedagogical Content Knowledge (TPACK), and the AI Readiness Framework. Findings are expected to reveal moderate readiness levels, with notable disparities in infrastructure, faculty support, and tailored training. The study contributes a validated conceptual model and offers policy, curriculum, and professional development recommendations to improve digital competency among history teacher trainees. This work aims to ensure that history education remains relevant and resilient in Malaysia’s digital future.

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Published

2025-07-23

How to Cite

Antin, A. B., & Dzulkifli, D. N. B. A. K. (2025). Artificial Intelligence (AI) and Industrial Revolution (IR) 4.0 Readiness for Teaching and Learning Competency among 21st Century Pre-Service History Teachers in Sabah. International Journal of Academic Research in Progressive Education and Development, 14(3), 554–563. Retrieved from https://ijarped.com/index.php/journal/article/view/3687

Issue

Vol. 14 No. 3 (2025): Volume 14, Issue 3 (2025)

Section

Articles