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.
With the emergence of new Coronavirus Disease (COVID-19) variants, the COVID-19 pandemic remained a global concern. As a result, the constant need to improve efficiency and credibility while preserving safety measures is of utmost priority. Going paperless is a great way to control the pandemic, and Quick Response (QR) code is an effective way to promote paperless transactions. The researchers incorporated the QR Code and Google Form into the Digitized Health Information Card. The researchers then assessed the QR Code’s effectiveness based on its accessibility, convenience, and the difference between the satisfaction of using digitized health information cards and manual writing. The researchers used SoGoSurvey forms called Product Evaluation and Overall Satisfaction Survey to measure the satisfaction and effectiveness rate of the Digitized Health Information Card. The researchers also used weighted mean to identify its effectiveness using 50 students as respondents who filled out the Google Forms posted on the Facebook page. Based on the data, positive feedback on the accessibility and convenience of using Quick Response code had been interpreted as accessible and very convenient. The findings show that the respondents were very satisfied with filling out digitized health information forms while somewhat unsatisfied with writing manually. As a result of the significant difference, the Quick Response Code is more effective in student welfare.
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