The Educational Application of RUR-PLE-Based Software Education

Abstract

Background/Objectives: In order to cultivate the convergence of talents needed for society in the future, we analyzed and developed the most important programming education model in software education.
Methods/Statistical analysis: Python programming education generally, and RUR-PLE-based Python programming education in particular, since it is applied more easily and is more enjoyable to learn. An analysis of the characteristics of each group and how well they learned the various programming elements was performed, and the results of their final grades were compared and analyzed.
Findings: Based on the RUR-PLE-based Python programming education, which can be applied to various projects, students' interest in using this model is very high. As a result, understanding of difficult programming elements is increased. In particular, conditional and loop statements are generally the most difficult to learn, and a statistical analysis of students’ comprehension of them shows meaningful results.Because it also affected overall performance improvement, software education methods using the Ruffle-based Python educational programming model yielded positive results.
Improvements/Applications: RUR-PLE-based Python educational programming techniques need to be systematically conceptualized and related to research.