The effects of covid-19 in learning: Effective and efficient online learning models of mathematical statistics and real analysis from the students' perspective

Abstract

An effective online learning model that does not burdensome students is a hot topic of discussion in the current pandemic era.This research is a qualitative descriptive study that aimed to know the online learning models of Mathematical Statistics and Real Analysis that are effective, efficient, and not burdensome from the student's perspective. The subjects of the research were all students who are studying Mathematical Statistics and/or Real Analysis,namely 63 students of Mathematical Statistics and 52 students of Real Analysis. The entire research subjectswere gave a survey through the Google Form to find out online learning models that best suits students. Then the survey results were analyzed based on online learning models with the largest selection percentage. The results showed that online learning models of Mathematical Statistics and Real Analysis courses that are effective, efficient and not burdensome for students is a learning model combining YouTube and WhatsApp media. Based on follow up interviews, there are many reasons why this model was chosen from other learning models such as video conferencing, one of the reasons is because this media needs less quota and is interspersed with question and answer discussions with the media that are commonly owned by students. Even when students are faced with situations where they will be given unlimited quota, students in both classes still consider the most effective and efficient learning model is to combining YouTube and WhatsApp.