The Indonesian Journal of Computer Science
Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)

Meta-Analysis in Measuring the Effectiveness of Problem-Based Learning Models in Vocational Education

Rosi Yulianti (Unknown)
Asmar Yulastri (Unknown)
Ambiyar (Unknown)
M Giatman (Unknown)



Article Info

Publish Date
30 Dec 2023

Abstract

Introduction to learning models is key to discussing the approaches used to transfer knowledge and skills to students. Learning models encompass various strategies and approaches designed to create an effective learning environment and stimulate intellectual and social development, particularly in vocational education. Therefore, this research will explore the effectiveness of one learning model in vocational education, namely Problem-Based Learning (PBL). This study implements the meta-analysis method by synthesizing data from 15 research articles from 2019 to 2023. Using secondary data from Classroom Action Research (CAR) studies, this research calculates the effect size to determine the impact of the PBL model on learning outcomes. The results, presented graphically, show a significant effect size (1.02), indicating a very high impact of the PBL model in vocational education. The discussion emphasizes factors contributing to this effectiveness, including a focus on student autonomy, the development of soft skills, and alignment with the demands of the vocational workforce. Overall, the PBL model emerges as a highly effective approach in improving learning outcomes and preparing vocational education students for real-world challenges

Copyrights © 2023






Journal Info

Abbrev

ijcs

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering

Description

The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information ...