MANAGEMENT OF INFORMATION TECHNOLOGY SYSTEMS IN THE DIGITAL AGE OF EDUCATIONAL INSTITUTIONS UNDER THE OFFICE OF VOCATIONAL EDUCATIONAL, RATCHABURI PROVINCE
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Abstract
This research aims to study the management of digital information systems in educational institutions under the Ratchaburi Provincial Office of Vocational Education Commission and to propose development guidelines for enhancing such management.
A mixed-methods research design was employed. The sample group consisted of 210 participants, including school administrators and teachers from the academic year 2024. Additionally, seven experts were purposively selected for in-depth interviews. The research instruments included a questionnaire, with a reliability coefficient of 0.95, and an interview form. Data were analyzed using percentage, mean, standard deviation, and content analysis.
Research findings revealed that, overall, the results were at a high level. When considered by individual aspects, all were also at a high level. The mean scores, ranked from highest to lowest, are as follows: the utilization of data had the highest mean ( = 4.48), followed by data analysis ( = 4.45), data processing ( = 4.43), data collection ( = 4.42), data verification ( = 4.37), and data storage ( = 4.34), respectively.
Guidelines for Enhancing Information System Management in the Digital Era are as follows: 1) Utilization of Data: It is essential to develop diverse channels for data dissemination, apply data visualization techniques, and systematically monitor and evaluate the utilization of data. 2) Data Analysis: The process should begin with assessing data needs, setting criteria for prioritizing data, and employing data analytics technologies. 3) Data Processing: Continuous development of personnel is necessary through modern training programs, along with establishing collaborative networks with external organizations. 4) Data Collection: A digital technology system should be developed, and clear standards for data collection should be established. 5) Data Verification: Investment should be made in automated data verification technologies, and a real-time verification system should be developed. 6) Data Storage: Clear responsibilities should be assigned, a system for tracking data updates should be developed, and cloud technology should be utilized for data storage.
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