Quantifying the Impact of Problem-Based Learning Enhanced by E-Learning: An Advanced Statistical and Effect Size Approach in Vocational Studies

This research examines how effectively Problem-Based Learning enhanced by E-Learning (PBL-E) functions in vocational educational settings. The investigation utilized quantitative methodology and experimental design, examining 44 automotive engineering students separated into two equal groups—one experiencing the PBL-E approach and the other receiving conventional instruction. Researchers analyzed Covariance-Based Structural Equation Modeling (CB-SEM) data and calculated effect sizes with Cohen's d. Findings reveal that PBL-E substantially enhances academic performance and student satisfaction, demonstrated by a substantial effect size indicating meaningful positive outcomes. The research also demonstrates that merging PBL with e-learning technologies improves academic results and develops crucial workplace competencies, including teamwork and problem-solving abilities. These discoveries meaningfully expand vocational education research and provide practical guidance for creating more flexible and responsive educational programs that help address disparities in educational inequality.

Authors

Institutions

Publication Details

Journal
TEM Journal
Published
2025-08-27
DOI
https://doi.org/10.18421/tem143-75
Citations
1
Primary Topic
Engineering Education and Curriculum Development
Type
article
Field-Weighted Citation Impact
1.14

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying the Impact of Problem-Based Learning Enhanced by E-Learning: An Advanced Statistical and Effect Size Approach in Vocational Studies

Hasan Maksum, Rahmat Desman Koto, Wawan Purwanto, Wagino Wagino et al.
1 citations
TEM Journal
Engineering Education and Curriculum Development
1.14
article

Quantifying the Impact of Problem-Based Learning Enhanced by E-Learning: An Advanced Statistical and Effect Size Approach in Vocational Studies

Hasan Maksum, Rahmat Desman Koto, Wawan Purwanto, Wagino Wagino, Muslim Muslim, Rido Putra
article en
1 citations

Abstract

This research examines how effectively Problem-Based Learning enhanced by E-Learning (PBL-E) functions in vocational educational settings. The investigation utilized quantitative methodology and experimental design, examining 44 automotive engineering students separated into two equal groups—one experiencing the PBL-E approach and the other receiving conventional instruction. Researchers analyzed Covariance-Based Structural Equation Modeling (CB-SEM) data and calculated effect sizes with Cohen's d. Findings reveal that PBL-E substantially enhances academic performance and student satisfaction, demonstrated by a substantial effect size indicating meaningful positive outcomes. The research also demonstrates that merging PBL with e-learning technologies improves academic results and develops crucial workplace competencies, including teamwork and problem-solving abilities. These discoveries meaningfully expand vocational education research and provide practical guidance for creating more flexible and responsive educational programs that help address disparities in educational inequality.

TEM Journal
State University of Padang (ID)
Universitas Negeri Padang
Openalex Percentile: Top 16%
Engineering Education and Curriculum Development
1.14
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.

Quantifying the Impact of Problem-Based Learning Enhanced by E-Learning: An Advanced Statistical and Effect Size Approach in Vocational Studies — Hasan Maksum, Rahmat Desman Koto, et al. · TEM Journal (2025) | TGRS Research Map | TGRS