Henny Tambingon

Transforming Family Welfare Education Management through the Utilization of Information Technology in the Digital Era

Introduction

Transforming family welfare education management through the utilization of information technology in the digital era. Explore how IT is transforming Family Welfare Education management in universities, enhancing decision-making, transparency, and learning quality in the digital era. Identifies challenges & strategies.

Abstract

This article examines how the use of information technology is reshaping the management of the Family Welfare Education Department at a university within the context of digital transformation. The research focuses on changes in managerial processes, academic governance, learning services, and operational support triggered by the adoption of digital systems. This study uses qualitative methods through in-depth interviews with department heads, lecturers, and educational staff, as well as analysis of relevant policy documents and managerial practices. The findings indicate that information technology integration improves decision-making speed, administrative transparency, and the effectiveness of internal coordination. Digital learning platforms expand flexibility and enhance the quality of pedagogical interactions, while integrated academic management systems improve data accuracy and service quality. However, this study also identifies challenges such as varying human resource readiness, the need to strengthen digital literacy, and dependence on unstable infrastructure. Theoretical implications confirm that digital transformation in vocational education requires structural changes, an adaptive work culture, and continuous investment in technology. Practically, the research findings provide strategic recommendations for universities in formulating more systematic, inclusive, and quality-oriented digital transformation policies.

Review

This article addresses a highly pertinent and contemporary issue: the role of information technology in transforming education management in the digital era. Focusing specifically on the Family Welfare Education Department at a university, the research meticulously investigates the impact of digital systems on key areas including managerial processes, academic governance, learning services, and operational support. The qualitative methodology, involving in-depth interviews with diverse stakeholders and analysis of relevant documents, provides a robust framework for exploring the nuanced changes and complexities inherent in such a transformation. The study's findings offer valuable insights into both the benefits and challenges of IT integration. On the positive side, it demonstrates significant improvements in decision-making speed, administrative transparency, and internal coordination. The adoption of digital learning platforms is shown to enhance flexibility and pedagogical quality, while integrated academic management systems contribute to improved data accuracy and service quality. However, the research does not shy away from identifying critical hurdles, such as the varying levels of human resource readiness, the pressing need for stronger digital literacy initiatives, and the perennial issue of dependence on unstable infrastructure, which are common pain points in digital transitions. The theoretical implications derived from this study underscore the necessity of structural changes, an adaptive work culture, and continuous technological investment for successful digital transformation in vocational education. Practically, the research is commendably oriented towards actionable outcomes, promising strategic recommendations that can guide universities in formulating more systematic, inclusive, and quality-oriented digital transformation policies. While the abstract effectively outlines a comprehensive study, a deeper exploration of the specific nature of 'unstable infrastructure' or comparative insights across different departmental contexts within the vocational education sector might further enrich the practical generalizability of its findings in a full paper.

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