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All Journal JAM : Jurnal Aplikasi Manajemen International journal of education and learning
Salazar, Catherine Aragon
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Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media

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EMERGING ORGANIZATIONAL CULTURE FROM THE BENEFITS AND DRAWBACKS OF FACEBOOK MESSENGER GROUP CHAT TREND IN PUBLIC SCHOOLS Salazar, Catherine Aragon
Jurnal Aplikasi Manajemen Vol. 20 No. 1 (2022)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jam.2022.020.01.01

Abstract

The new normal in education leads to new normal practices among teachers in public schools to carry out the Department of Education Basic Education Learning Continuity Plan (BE- LCP), leading to the Facebook Messenger group chat trend in public schools. This study explores the benefits and drawbacks of this communication application as experienced by public-school teachers and aimed at understanding patterns of emerging organizational culture due to the utilization of Facebook Messenger group chats. The study utilized the phenomenological research design. Data were gathered through semi-structured one-on-one interviews and focus group discussions with randomly selected public-school teachers, and results were interpreted through thematic analysis. The study found out that the Facebook Messenger group chat trend is beneficial in convenience, accessibility, and learning delivery while its drawbacks are work-life balance, emotional-psychological, and technical. Open communication, sensitive communication, netiquette in social behavior, and technological reliance were the patterns of organizational culture emerging from using Facebook Messenger group chats. Assessment on the appropriateness of its use depending on the purpose and further innovation on its features that may fit well for its use in education and work purposes were recommended to manage its drawbacks and optimize its use in the new normal education delivery.
Structural equation modeling and implication to educational management of dataset on attitudes, opinions, and behaviors related to COVID-19 Salazar, Catherine Aragon
International Journal of Education and Learning Vol 5, No 1: April 2023
Publisher : Association for Scientific Computing Electrical and Engineering(ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijele.v5i1.796

Abstract

This quantitative study utilized R, specifically RStudio, as statistical analysis program in analyzing the dataset on attitudes, opinions, and behaviors with respect to COVID-19. The variables in the dataset are focused on survey items that ask respondents to describe their feelings, physical reaction, perception, attitudes and behaviors towards various issues and aspects that concerns the current pandemic. The study intends to determine dimensionality of the dataset through Principal Component Analysis (PCA) and factor analysis, find out the factor loadings about observed variables and latent variables in the dataset, generate a model through Structural Equation Modeling (SEM), and interpret how the findings relate to educational leadership and management in the new normal. Principal Component Analysis (PCA) reveals that there are four components with most significant representation in the dataset which was confirmed by the scree plots and factor analysis that four factors are sufficient to analyze the dataset. Loadings revealed that these four factors are media, spiritual, political, and cultural aspects. A model that can guide interpretation and future related studies about attitudes, opinions, and behaviors with respect to COVID-19 has been generated through Structural Equation Modeling. It was implied by the findings that the four factors and their observable variables may be used as bases by educational leaders in gathering and analyzing data about attitudes, opinions, and behaviors of school stakeholders towards COVID-19 which can guide them in crafting and implementing responses, innovations and policies that are parallel to pandemic context).
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