Streamlining Grading Processes: A Study on the Efficacy of Microsoft Excelas a Tool for Minimizing Teacher Workload and Shortening Test Paper Checking Time
Journal Title: International Journal of Social Science And Human Research - Year 2023, Vol 6, Issue 11
Abstract
This research study investigates the effectiveness of Microsoft Excel as a tool for streamlining grading processes in educational institutions. The study examines whether MS Excel can minimize teacher workload or shorten the time required from checking periodical exam, recording of exam’s results, accomplishing item analysis, and generating SMEA (School Monitoring, Evaluation, and Adjustment) data particularly the MPS (Mean Percentage Score) results. The research adopts a mixed-methods approach, combining quantitative data analysis and qualitative feedback from participating teachers. The study begins by exploring the current grading practices and challenges faced by teachers in traditional paper-based grading systems. These challenges include time-consuming manual calculations, repetitive data entry, and the potential for errors during the grading process. The hypothesis is that utilizing Excel's features, such as formulas, functions, and automated formatting, can significantly improve the grading workflow. The two-sided p-value is reported as <.001 with 95% confidence interval. Therefore, there is strong evidence to reject the null hypothesis and conclude that there is a significant difference between the Traditional_Process and ExcelBased_Process. The results of this study suggest that implementing Microsoft Excel as a grading tool has the potential to streamline grading processes, minimize teacher workload, and shorten test paper checking time, recording scores, accomplishing item analysis, and generating SMEA-MPS results. The findings can inform educational institutions and educators about the benefits of leveraging technology to enhance grading efficiency. Further research can explore additional features of Excel or other software tools that could further optimize grading procedures.
Authors and Affiliations
Alvin C. Dionson
Keywords
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- EP ID EP723889
- DOI 10.47191/ijsshr/v6-i11-47
- Views 87
- Downloads 0
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