Preparedness Indicator System for Education 4.0 with FUCOM and Rough Sets

Abstract

In view of the recent education sectoral transition to Education 4.0 (EDUC4), evaluating the preparedness of higher education institutions (HEIs) for EDUC4 implementation remains a gap in the current literature. Through a comprehensive review, seven criteria were evaluated, namely, human resources, infrastructure, financial, linkages, educational management, learners, and health and environment. This work offers two crucial contributions: (1) the development of an EDUC4 preparedness indicator system and (2) the design of a computational structure that evaluates each indicator and computes an aggregate preparedness level for an HEI. Using the full consistency method (FUCOM) to assign the priority weights of EDUC4 criteria and the rough set theory to capture the ambiguity and imprecision inherent in the measurement, this study offers an aggregate EDUC4 preparedness index to holistically capture the overall preparedness index of an HEI towards EDUC4. An actual case study is presented to demonstrate the applicability of the proposed indicator system. After a thorough evaluation, the results indicate that human resources were the most critical criterion, while health and environment ranked last. Insights obtained from the study provide HEIs with salient information necessary for decision making in various aspects, including the design of targeted policies and the allocation of resources conducive to implementing EDUC4 initiatives. The proposed indicator system can be a valuable tool to guide HEIs in pursuing EDUC4, resulting in a more effective and efficient implementation of this educational paradigm.

Charting the Future of Philippines Education: Navigating the Intersection of K-12 Education, the Fourth Industrial Revolution (IR 4.0), and Internationalization

“…The following literature, for example, cover diverse aspects of education and technology. Almacen et al (2023) propose a ʺPreparedness Indicator System for Education 4.0ʺ using FUCOM and Rough Sets to assess educational institutionsʹ readiness in adopting advanced technologies. This indicator system addresses the integration of cutting-edge technologies, such as artificial intelligence and automation, into the education system, aiming to navigate the challenges and opportunities presented by the digital era.…”

“…The Philippine education system has been undergoing significant transformation, with the node of K-12 education, the Fourth Industrial Revolution (IR 4.0), and internationalization shaping its future landscape (Almacen, et al, 2023). This comprehensive study was conducted to navigate this intricate web of factors and chart a comprehensive understanding of the implications of these converging forces on the educational landscape in the Philippines.…”