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

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

Author(s): Hasan Maksum, Wagino Wagino, Wawan Purwanto, Muslim MUSLIM, Rido Putra, Rahmat Desman Koto
Subject(s): Vocational Education, Educational Psychology, Distance learning / e-learning
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Vocational education; problem-based learning; e-learning; structural equation modeling; effect size; educational inequality

Summary/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.

  • Issue Year: 14/2025
  • Issue No: 3
  • Page Range: 2744-2754
  • Page Count: 11
  • Language: English
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