Attitudes toward e-learning of undergraduate students during COVID-19: Dataset from Indonesia

Abstract

This article describes data on students' attitudes toward e-learning at an Indonesian higher education institution during the pandemic period. This cross-sectional study was conducted with a total of 342 full-time students who studied at Universitas Negeri Jakarta in the 2022-2023 academic year. All respondents were determined using the convenience non-probability sampling method. To gather the data, the Attitude Scale Toward E-Learning (ASTEL) developed by Haznedar and Baran [1] was employed. The online survey was distributed to acquire the desired data on individual demographic characteristics (6 items), avoidance of e-learning (10 items), and tendency to e-learning (10 items). It was conducted from February to March 2023 with the support of lecturers. The dataset is available in the form of Microsoft Excel. The collected data provide new insights concerning students' e-learning attitudes with regard to gender, age, grade level, daily duration of internet use, owner of a personal computer, and level of fear of contracting COVID-19. The dataset is made widely accessible to enable more critical and comprehensive investigations. The dataset will provide guidance to lecturers and policymakers in planning the effective use of e-learning and designing appropriate educational programs to enhance students' achievement in technology-supported learning contexts.

Keywords: Attitudes toward e-learning; COVID-19; Distance learning; Indonesia; Undergraduate students.