Abstract

The COVID-19 pandemic that occurred in early 2020 around the world has implications for Indonesia’s education sector. This pandemic led to the Indonesian government policy to study from home at all academic levels using a distance learning approach. Studies on e-learning preparedness in Indonesia involving more comprehensive samples of universities during the pandemic are still limited. This study extended samples from several public and private universities in Indonesia to get a broader picture of e-learning readiness in various faculties with diverse university online learning cultures. This study used Rasch analysis to determine the validity and reliability of the instrument and differential item functioning (DIF) analysis to identify responses based on students’ demographic profiles. The results show that most students were ready to study online, but a few were not ready. Moreover, the results show significant differences in students’ e-learning readiness based on the academic year at university, the field of study, the level of organizational e-learning culture of the university, gender, and region. This work provides an insight into student readiness to study online, especially in higher education in Indonesia. The article presents the implications of online learning practices in universities and recommendations for future e-learning research.

Highlights

  • The COVID-19 pandemic has provided momentum for the growth of online learning in Indonesia at all education levels, from kindergarten [1], primary school [2], junior high school [3], senior high school [4], to higher education [5,6]

  • We used differential item functioning (DIF) analysis to identify responses based on student demographic profiles

  • The findings presented in the paragraph answer the research questions

Read more

Summary

Introduction

The COVID-19 pandemic has provided momentum for the growth of online learning in Indonesia at all education levels, from kindergarten [1], primary school [2], junior high school [3], senior high school [4], to higher education [5,6]. In this pandemic, the application of online learning is inevitable. The level of online learning readiness can affect students’ interaction [12], level of emotional intelligence [13], satisfaction, and motivation [14,15,16] in the online learning environment.

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call