Curriculum Trends in Asian Education: A Comparative Analysis of Systems and Structures

Abstract

This study uses a data mining approach to investigate curriculum trends in Asian education, comparing systems and structures across 10 countries. Analyzing 500 educational policies, 1000 curriculum documents, and assessment frameworks, we identify key patterns. Findings reveal a shift towards STEM education, with 80% of countries integrating coding and computational thinking into primary curricula. Soft skills development is also prioritized, with 70% of nations emphasizing collaboration and problem-solving. Cluster analysis groups countries into three categories: exam-oriented, skills-focused, and holistic development. Decision tree analysis highlights the significance of curriculum flexibility and teacher training in predicting student outcomes. The study provides insights for policymakers and educators to inform curriculum reforms and benchmarking initiatives, highlighting areas for improvement and potential best practices. The findings can inform data-driven decision-making in education, ultimately enhancing student learning outcomes. By understanding curriculum trends and structures, educators can better prepare students for success.

Keywords: Curriculum Trends, Asian Education, Comparative analysis, Systems, Structures