Development of a Classroom Database System for Rajabhat Maha Sarakham University Using Google Apps Script

Authors

  • Phongnut Aksorn Rajabhat Maha Sarakham University

Keywords:

Database system, Ready-to-use classrooms, Google Apps Script, E1/E2 performance criteria, Technology acceptance, Rajabhat Mahasarakham University

Abstract

Background and Objectives: In the digital age, where information technology plays a crucial role in all sectors, higher education management needs to adapt to new changes and challenges. This research aims to 1) develop a ready-to-use classroom database system for Rajabhat Mahasarakham University using Google Apps Script and evaluate system efficiency, defining process efficiency (E1) as the percentage of success in function operations and outcome efficiency (E2) as the percentage of accuracy of results according to specified criteria (E1/E2 = 80/80); 2) study system quality in terms of accuracy, completeness, and speed of data access; and 3) study users' technology acceptance levels toward the system. Statistical methods used were mean and standard deviation.

Research Methodology: The sample group consisted of three groups: 1) Five staff members from the Office of Academic Promotion and Registration (purposive sampling), used for requirement analysis and system quality evaluation; 2) Nine faculty staff members (purposive sampling), used for requirement analysis and system efficiency evaluation; and 3) 233 teaching staff members (stratified random sampling), used for technology acceptance study.

Research Results: The researcher developed a ready-to-use classroom database system using Google Apps Script, comprising 9 main functions: classroom data management, classroom booking, duplicate booking detection, Google Calendar integration, email notification, reporting, and automatic data backup. The system features a user-friendly interface and supports operation on computers and mobile devices. System quality assessment revealed data accuracy of 99.57%, process efficiency (E1) of 97.60%, and outcome efficiency (E2) of 97.29%, exceeding the set 80/80 criteria. Technology acceptance analysis showed a high overall level of user acceptance (𝑥̅=4.35, S.D.=0.58). Perceived usefulness had the highest mean (𝑥̅=4.47, S.D.=0.51), followed by intention to use (𝑥̅=4.35, S.D.=0.58), attitude toward use (𝑥̅=4.34, S.D.=0.57), and perceived ease of use (𝑥̅=4.22, S.D.=0.66), respectively. Technology acceptance comparison classified by technology experience found a statistically significant difference at the .05 level, with those having less than 5 years of experience showing lower technology acceptance than those with more experience. Qualitative data analysis showed that users were satisfied with the system in terms of ease of use and benefits received, especially in reducing work steps and data accuracy. A key suggestion was to add a notification function via Line.

Conclusion: Rajabhat Mahasarakham University should announce a policy for personnel to use the ready-to-use classroom database system as the primary channel for booking and managing classrooms to ensure full utilization and maximum benefit. An order should be issued to appoint a system oversight committee to ensure continuous operation. Additionally, specialized training should be provided for personnel with less than 5 years of technology experience.

References

Asshidiqi, H., Rahman, F., & Hidayat, A. (2026). Automatic device log processing application using Google Apps Script for network monitoring.Journal of Cloud Computing and Advanced Applications, 4(1), 78-92.

Batini, C., & Scannapieco, M. (2019).Data quality: Concepts, methodologies and techniques (2nded.). Springer.

Connolly, T., & Begg, C. (2021).Database systems: A practical approach to design, implementation, and management (7th ed.). Pearson.

Coronel, C., & Morris, S. (2021).Database systems: Design, implementation, and management (14th ed.). Cengage Learning.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

Ekanayake, J., Perera, K., & Weerasinghe, R. (2021). Performance evaluation of Google Spreadsheet as a cloud-based database using scripting algorithms. International Journal of Cloud Computing and Services Science, 10(2), 112-124.

Fishbein, M., & Ajzen, I. (1975).Belief, attitude, intention, and behavior: An introduction to theory and research.Addison-Wesley.

Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572-2593.

Hoffer, J. A., Ramesh, V., & Topi, H. (2020).Modern database management(13th ed.). Pearson.

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for researchactivities. Educational and Psychological Measurement, 30(3), 607-610.

Laudon, K. C., & Laudon, J. P. (2022).Management information systems: Managing the digital firm (17th ed.). Pearson.

Ministry of Higher Education, Science, Research and Innovation. (2020). Higher Education Plan for the Production and Development of Human Resources of the Country 2021-2027. Bangkok: Office of the Permanent Secretary, Ministry of Higher Education, Science, Research and Innovation.

Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education. Computers & Education, 128, 13-35.

Sitti-uam, S & Fuangchan, W. (2022). Acceptance of Management Information Systems of a Rajabhat University. Journal of Information Technology, 18(2), 45-58.

Straub, E. T. (2019). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 89(4), 525-556.

Sumathi, S., & Esakkirajan, S. (2020).Fundamentals of relational database management systems. (2nd ed.). Springer.

Tirschwell, S., & Horton, W. (2025). Reimagining spreadsheets for K-12 data science education: Enhancing capabilities with Google Apps Script. Journal of Educational Technology & Society, 28(1), 45-60.

Venkatesh, V., Davis, F. D., & Morris, M. G. (2022). User acceptance of information technology: Toward a unified view in the digital era. MIS Quarterly, 46(3), 1289-1320.

Warislohner, J. (2024). Google Apps Script: A beginner's guide to automating Google Workspace. O'Reilly Media.

Wijaya, A. (2024). Cost-effectiveness analysis of cloud-based application development using Google Apps Script compared to traditional web development. International Journal of Information Technology and Business, 6(2), 89-104.

Yahya, M., Santoso, B., & Wibowo, A. (2025). Development of training evaluation support system for government agencies using Google Apps Script. Journal of Applied Information Technology, 12(1), 34-48.

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Published

2026-04-30

How to Cite

Aksorn, . P. . (2026). Development of a Classroom Database System for Rajabhat Maha Sarakham University Using Google Apps Script. SciTech Research Journal, 9(1), 29–48. retrieved from https://ph02.tci-thaijo.org/index.php/jstrmu/article/view/263960

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Section

Research Articles