Irwanto Irwanto
Department of Chemistry Education, Universitas Negeri Jakarta, Jakarta 13220, Indonesia.
Data Brief. 2023 Jul 7;49:109380. doi: 10.1016/j.dib.2023.109380. eCollection 2023 Aug.
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.
本文描述了疫情期间印度尼西亚一所高等教育机构学生对电子学习的态度数据。这项横断面研究共对2022 - 2023学年在雅加达国立大学学习的342名全日制学生进行。所有受访者均采用便利非概率抽样方法确定。为收集数据，采用了由哈兹内达尔和巴兰[1]开发的电子学习态度量表（ASTEL）。通过在线调查获取关于个人人口统计学特征（6项）、对电子学习的回避（10项）和电子学习倾向（10项）的所需数据。该调查于2023年2月至3月在讲师的支持下进行。数据集以Microsoft Excel形式提供。收集到的数据提供了关于学生在性别、年龄、年级水平、每日上网时长、个人电脑拥有情况以及感染新冠病毒恐惧程度方面电子学习态度的新见解。该数据集广泛提供，以便进行更关键和全面的调查。该数据集将为讲师和政策制定者在规划电子学习的有效使用以及设计适当的教育项目以提高学生在技术支持学习环境中的成绩方面提供指导。
