Exploring Demographic Variations of Freshmen to Online Learning Anxiety: A Data Visualization Analysis Based Approach

Abstract

Digital developments have an impact on the ability to read and construct visual data as important as how someone reads a text. The presentation of data was of course very important in the learning process. New experiences in the learning process provide the potential for freshmen anxiety. The existence of variance in demographic data as an attribute of freshmen characteristics can be a consideration for the measurement results of online learning anxiety. This research aims to explore data on freshmens' anxiety in dealing with online learning. This research uses data visualization analysis methods and descriptive statistics to reinforce the meaning of the data presented. This research involved 384 freshmen consisting of female freshmen (n = 270) and male freshmen (n = 114). The finding of this research was that gender variance does not provide a significant correlation with the maj ority of aspects of online learning anxiety. Whereas in the study program variance, different findings were obtained where the variance of the study program influenced the major aspects of online learning anxiety. Overall, this research re-emphasizes attention to anxiety factors in online learning so that freshmen can prepare themselves better.