Utilization of statistical quality control (sqc) tools in evaluating the self-learning modules for basic education | [Science International • 2022]

Author(s):

1. Gil G. Hagutin: University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines; Kinawe National High School, Kinawe Libona, Bukidnon, Philippines

2. Roger Joey P. Ihong: University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines; Camaman-an National High School, Upper Camaman-an, Cagayan de Oro City, Philippines

3. Michelle C. Lastimosa: University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines; Bobontugan National High School, Bobotungan, Jasaan, Misamis Oriental, Philippines

4. Demi Jas P. Naïve: University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines; Lumbo National High School, Lumbo Lagonglong, Misamis Oriental, Philippines University of Science and Technology of Southern Philippines, Philippines

5. Consorcio S. Namoco Jr.: University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines

Abstract:

This study aimed to find out the main factors that influence the defects in reproducing self-learning modules in one of the schools in the Division of Bukidnon. The study implemented the histogram to identify the defects of self-learning modules (SLM) used for distance learning. Root causes of the defects were attributed to personnel's technical proficiency, machines over usage, non-conformity of materials, and no standardized printing system as explained using the Ishikawa Diagram. Moreover, this study aims to provide insights into the preparation of the SLM to ensure quality in the production of a blended learning modality.

Page(s): 367-371

DOI: DOI not available

Published: Journal: Science International, Volume: 34, Issue: 4, Year: 2022

Keywords:

Root cause analysis , Histogram , Selflearning , Statistical Tool , Selflearning Modules

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