ABSTRACT:
To provide a basis for effective EPL learning design, this study categorized the ādiscoverā learning content of entries according to the eleven problem types proposed in Jonassen's theory and analyzed a total of 116,927 log data. As a result, the problem types that primarily belong to EPL-based learning were categorized according to the degree of structuredness of the problems, and implications for learning design were drawn from the perspective of learning categories and difficulty level. The main implication is that in EPL based learning, designing a learning process that considers structured and unstructured problem characteristics is necessary. In addition, it is essential to create appropriate problem difficulty and problem topics that consider the characteristics of learning problems. The significance of this study is that it proposed implications for designing effective educational programming language-based learning based on the results of accurate log data analysis in the fields of SW education.
Keywords:
SW Education, Educational Programming Language, Entry, Log Data Analysis