The Malaysian Higher Education Plan 2026–2035 and Artificial Intelligence (AI) Historical Literacy in Bahasa Malaysia among the Younger Generation

Abstract

This study explores the integration of Artificial Intelligence (AI) in historical literacy education in Bahasa Malaysia (Malay Language@National Language) among the younger generation, within the framework of the Malaysian Higher Education Plan 2026–2035. Utilizing a mixed-methods approach, quantitative data were collected through online surveys to assess students’ AI literacy, historical knowledge retention, and engagement with digital learning tools, while qualitative data were obtained via semi-structured interviews to explore learners’ perceptions, experiences, and challenges in AI-assisted history education. This study employed a mixed-methods approach involving an online survey of 250 undergraduate students selected through stratified random sampling and semi-structured interviews with 20 purposively selected participants, with data analyzed using descriptive statistics and thematic analysis. In addition, findings were triangulated with credible online sources, including peer-reviewed journals, government reports, and institutional publications, to enhance the depth and reliability of the discussion. Results are expected to reveal patterns in AI literacy development, highlight the pedagogical potential of AI in enhancing historical learning, and inform policy recommendations for integrating digital competencies in Malaysian education. The study contributes to the discourse on digital and historical literacy, offering insights for educators, policymakers, and curriculum designers in preparing students for a technology-driven knowledge society.