Project-Based Learning to Improve Statistical Application Literacy Competence of Economic Education Students

This research aims to obtain an effective strategy for increasing students' statistical application literacy competency through Project-Based Learning (PjBL) in the Statistics Applications course. Research methods used experimental design, learning statistical applications using practical computer program software applications in a computer laboratory with the PjBL model. The control class teaches statistical applications without using projects, but is tasked with individually carrying out data processing practices. The research results show increased literacy competency in IT-based statistical applications or computer software in learning. The pre-test and post-test results for the experimental class, Sig 0.000 < 0.05, indicate a significant difference. The N-Gain result is 61.79 in the medium category. The level of motivation to learn statistical applications in the control group was 65.2% in the medium category, while the motivation in the experimental group was 82.67% in the high category. In this way, the PjBL model can increase motivation for literacy competency in statistical applications in economics education students. Students' literacy competency in statistical applications can increase; in the experimental class, the post-test score was obtained = 85.158, and they were skilled and able to use the mastered software creatively. Carry out continuous development of statistical application literacy by being innovative, creative, experienced, and competent to analyze data efficiently.

Authors

Institutions

Publication Details

Journal
Dinamika Pendidikan
Published
2025-05-29
DOI
https://doi.org/10.15294/dp.v20i1.8151
Primary Topic
Mathematics Education and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Project-Based Learning to Improve Statistical Application Literacy Competence of Economic Education Students

Rusdarti Rusdarti, Nina Farliana, Nina Oktarina
Dinamika Pendidikan
Mathematics Education and Pedagogy
article

Project-Based Learning to Improve Statistical Application Literacy Competence of Economic Education Students

Rusdarti Rusdarti, Nina Farliana, Nina Oktarina
article en

Abstract

This research aims to obtain an effective strategy for increasing students' statistical application literacy competency through Project-Based Learning (PjBL) in the Statistics Applications course. Research methods used experimental design, learning statistical applications using practical computer program software applications in a computer laboratory with the PjBL model. The control class teaches statistical applications without using projects, but is tasked with individually carrying out data processing practices. The research results show increased literacy competency in IT-based statistical applications or computer software in learning. The pre-test and post-test results for the experimental class, Sig 0.000 < 0.05, indicate a significant difference. The N-Gain result is 61.79 in the medium category. The level of motivation to learn statistical applications in the control group was 65.2% in the medium category, while the motivation in the experimental group was 82.67% in the high category. In this way, the PjBL model can increase motivation for literacy competency in statistical applications in economics education students. Students' literacy competency in statistical applications can increase; in the experimental class, the post-test score was obtained = 85.158, and they were skilled and able to use the mastered software creatively. Carry out continuous development of statistical application literacy by being innovative, creative, experienced, and competent to analyze data efficiently.

Dinamika PendidikanVol. 20(1)
State University of Semarang (ID)
Openalex Percentile: Top 83%
Mathematics Education and Pedagogy
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.

Project-Based Learning to Improve Statistical Application Literacy Competence of Economic Education Students — Rusdarti Rusdarti, Nina Farliana, et al. · Dinamika Pendidikan (2025) | TGRS Research Map | TGRS