Pengaruh Pengetahuan Multimedia Pembelajaran, Berpifikir Kritis terhadap Efektifitas Modul E-Learning Mahasiswa Fakultas Teknik UNM

This study is an Ex Post Facto study because the independent variables are not manipulated or subjected to specific treatments; instead, they are analyzed based on symptoms that appeared in respondents before the study's initiation. Adopting a cause-and-effect approach of "if x then y," this study does not involve direct control over the independent variables. Three variables are examined: two independent variables, Multimedia and Critical Thinking, and one dependent variable, the Effectiveness of the e-module. The relationship between the variables is analyzed using the correlation method, while the module's effectiveness is assessed through a quasi-experiment involving four control classes and four experimental classes. The study's results indicate that: (1) Multimedia and Critical Thinking collectively influence the Effectiveness of the E-learning Module, (2) Multimedia has a significant individual effect, whereas Critical Thinking has only a minimal impact, and (3) the Paired Samples t-test reveals an increase in learning outcomes, with an average difference of -13.92 between the Pre-Test and Post-Test. The regression analysis yielded a value of 71.314, categorizing it as effective. This e-learning module has demonstrated considerable effectiveness in enhancing understanding related to Multimedia.

Authors

Institutions

Publication Details

Journal
JURNAL SOSIAL EKONOMI DAN HUMANIORA
Published
2024-12-15
DOI
https://doi.org/10.29303/jseh.v10i4.709
Primary Topic
Educational Methods and Media Use
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pengaruh Pengetahuan Multimedia Pembelajaran, Berpifikir Kritis terhadap Efektifitas Modul E-Learning Mahasiswa Fakultas Teknik UNM

Ady Rukma, Nurlaela Latif
JURNAL SOSIAL EKONOMI DAN HUMANIORA
Educational Methods and Media Use
article

Pengaruh Pengetahuan Multimedia Pembelajaran, Berpifikir Kritis terhadap Efektifitas Modul E-Learning Mahasiswa Fakultas Teknik UNM

Ady Rukma, Nurlaela Latif
article en

Abstract

This study is an Ex Post Facto study because the independent variables are not manipulated or subjected to specific treatments; instead, they are analyzed based on symptoms that appeared in respondents before the study's initiation. Adopting a cause-and-effect approach of "if x then y," this study does not involve direct control over the independent variables. Three variables are examined: two independent variables, Multimedia and Critical Thinking, and one dependent variable, the Effectiveness of the e-module. The relationship between the variables is analyzed using the correlation method, while the module's effectiveness is assessed through a quasi-experiment involving four control classes and four experimental classes. The study's results indicate that: (1) Multimedia and Critical Thinking collectively influence the Effectiveness of the E-learning Module, (2) Multimedia has a significant individual effect, whereas Critical Thinking has only a minimal impact, and (3) the Paired Samples t-test reveals an increase in learning outcomes, with an average difference of -13.92 between the Pre-Test and Post-Test. The regression analysis yielded a value of 71.314, categorizing it as effective. This e-learning module has demonstrated considerable effectiveness in enhancing understanding related to Multimedia.

JURNAL SOSIAL EKONOMI DAN HUMANIORAVol. 10(4)
State University of Makassar (ID)
Openalex Percentile: Top 63%
Educational Methods and Media Use
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.