The Effect of Current Indonesian Economic Data-Based Learning on Students’ Economic Analysis Skills

Abstract

This study aims to analyze the effect of current Indonesian economic data-based learning on university students’ economic analysis skills. The learning approach integrates current macroeconomic data, including inflation, economic growth, exchange rates, international trade, and unemployment, into classroom activities to help students connect theoretical concepts with actual economic phenomena. The study employs a quantitative approach using a quasi-experimental design with a pretest–posttest comparison group. The participants are 60 Management students from the Faculty of Economics and Business at Universitas PGRI Mpu Sindok enrolled in the Indonesian Economy course. Data will be collected through case-based economic analysis tests, an assessment rubric, and learning documentation. Data analysis will involve descriptive statistics and analysis of covariance (ANCOVA), subject to the fulfillment of relevant statistical assumptions. Economic analysis skills will be assessed through students’ abilities to interpret economic data, apply economic theories, explain relationships among economic indicators, and formulate evidence-based conclusions. The empirical findings will establish whether current economic data-based learning produces a statistically significant difference in students’ economic analysis skills compared with the comparison group. The final report will present the observed results, effect size, and educational implications after data collection and statistical analysis have been completed. The findings are expected to inform the development of evidence-based learning practices in higher education, particularly in economics-related courses for Management students.