Robust Data Mining Visualization for Learning Outcomes

Abstract

Learning outcomes are sometimes an indicator of determining the success of the learning process. Implementation of learning strategies increases the potential for achievement of learning outcomes. Learning outcomes are often presented in statistical form regardless of the ease of interpreting the data. Most previous studies present statistical analysis on data processing. However, the results of statistical analysis cannot be interpreted quickly and easily. This study aims to process and analyze research data using a robust data mining visualization approach. Research findings indicate that data visualization provides convenience for understanding and interpreting data. Raincloud plots can be considered as an alternative to research data visualization techniques, especially in the field of education. Data visualization implementations can be developed in various fields not only to describe performance measures but also correlations between variables.