Regression Analysis on Factors Influencing Satisfaction towards E-Module using Canva App

Abstract

The objective of the research is to identify the factors that contribute to student satisfaction towards e-module using Canva app. A questionnaire is distributed among 76 undergraduate UC TATI students. Pearson correlation and regression analysis are used to examine the data. The dependent variable is students’ satisfaction towards e-module using Canva App, while the independent variables are effectiveness on independent learning and attitude towards use. The value of Cronbach’s Alpha is greater than 0.6 and all the independent variables are significant. The final model is 87.7%, which be explained by the independent variable. These results indicate a strong relationship between the predictors and the overall user experience within the digital learning interface. Furthermore, the different demographic backgrounds of the student may influence their individual expectations and perceptions of the learning experience. This study demonstrates that the implementation of interactive e-module elements sustains student interest, thereby fostering increased motivation and active engagement within independent learning frameworks.