Artificial Intelligence (AI) and Industrial Revolution (IR) 4.0 readiness for teaching and learning competency among 21st century pre-service history teachers in Sabah

Arzizul Bin Antin and Dg Norizah Binti Ag Kiflee@Dzulkifli (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. pp. 554-563.

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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.

Item Type:	Article
Keyword:	AI Readiness, IR 4.0, Pre-Service History Teachers, Teaching Practices
Subjects:	L Education > LB Theory and practice of education > LB5-3640 Theory and practice of education > LB1025-1050.75 Teaching (Principles and practice) L Education > LB Theory and practice of education > LB5-3640 Theory and practice of education > LB1705-2286 Education and training of teachers and administrators
Department:	FACULTY > Faculty of Education and Sport Studies
Depositing User:	JUNAINE JASNI -
Date Deposited:	01 Oct 2025 10:52
Last Modified:	01 Oct 2025 10:52
URI:	https://eprints.ums.edu.my/id/eprint/45319

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