Continuing Education in Quality Management Systems in Peru (2015-2024): Factors Affecting Academic Performance

Continuing education in management systems is essential for professionals seeking certification to ISO management system standards, which are increasingly required in various sectors, especially in the field of engineering. However, there is little evidence on the factors that influence academic performance in these training programs. This research examines the factors that determine academic performance in three programs related to ISO management systems: Quality, Environmental, Safety and Occupational Health Management Systems (ISO 9001, ISO 14001 & ISO 45001), Quality Management in Testing Laboratories (ISO/IEC 17025), and Food Quality and Safety Management (ISO 22000 & ISO 9001). For this purpose, data from 1386 students collected over a ten-year period (2015-2024) are used. An ANOVA is performed to determine the importance of the factors and subsequent tests (t-test and estimated marginal means) to identify the groups that obtained better performance. The results show that there are significant differences for teaching modality (d=0.51), gender (d=0.12), program (ηp²=0.133), and specialty (d=0.29). In addition, the significant interaction between teaching modality and program suggests that the impact of modality varies by training program. These findings can guide improvements in curriculum design, teaching methods, and learning approaches in management systems professional education.

Authors

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.46254/na10.20250126
Primary Topic
Education and Teacher Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Continuing Education in Quality Management Systems in Peru (2015-2024): Factors Affecting Academic Performance

Mónica Aurora Puertas, José Carlos Flores-Molina, Edgar Yalta
Education and Teacher Training
article

Continuing Education in Quality Management Systems in Peru (2015-2024): Factors Affecting Academic Performance

Mónica Aurora Puertas, José Carlos Flores-Molina, Edgar Yalta
article en

Abstract

Continuing education in management systems is essential for professionals seeking certification to ISO management system standards, which are increasingly required in various sectors, especially in the field of engineering. However, there is little evidence on the factors that influence academic performance in these training programs. This research examines the factors that determine academic performance in three programs related to ISO management systems: Quality, Environmental, Safety and Occupational Health Management Systems (ISO 9001, ISO 14001 & ISO 45001), Quality Management in Testing Laboratories (ISO/IEC 17025), and Food Quality and Safety Management (ISO 22000 & ISO 9001). For this purpose, data from 1386 students collected over a ten-year period (2015-2024) are used. An ANOVA is performed to determine the importance of the factors and subsequent tests (t-test and estimated marginal means) to identify the groups that obtained better performance. The results show that there are significant differences for teaching modality (d=0.51), gender (d=0.12), program (ηp²=0.133), and specialty (d=0.29). In addition, the significant interaction between teaching modality and program suggests that the impact of modality varies by training program. These findings can guide improvements in curriculum design, teaching methods, and learning approaches in management systems professional education.

Openalex Percentile: Top 71%
Education and Teacher Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.