Prasetiyo Wibowo Heru, Naidu Noor Banu Mahadir, Sari Beti Indah, Mustofa Rochman Hadi, Rahmawati Naillysa, Wijaya Gilang Pambudi Adi, Hidayat Obby Taufik
Civic Education Department, Universitas Muhammadiyah Surakarta, Surakarta, Indonesia.
Moral, Civics, and Character Building Studies, Universiti Pendidikan Sultan Idris, Tanjong Malim, Malaysia.
Data Brief. 2021 Nov 16;39:107569. doi: 10.1016/j.dib.2021.107569. eCollection 2021 Dec.
Dataset provides wide measurement data on internet skills, internet attitudes, computer self-efficacy of the students related to the digital citizenship in Indonesia. Due to the pandemic of Covid-19, the survey was conducted online by considering the informant consent on assessing demographic information (7 items), internet skills (9 items), internet attitude (5 items), expertise and skills in using a computer (5 items), respect (6 items), educate (5 items), and protect (4 items), which was carried out from March to April. There were a total of 581 respondents selected through probability sampling based on random convenient sample from 12 public and private senior high schools which spread throughout 5 cities in Central Java, Indonesia. The survey data were analyzed using multivariate analysis and partial least structure with the analysis technique of Structural Equation Modelling (SEM). In the future, this data can help educators, researchers, and educational policy makers to determine the level of readiness of students' digital citizenship attributes and efforts to conduct further research on efforts to strengthen digital citizenship in curricular programs.
该数据集提供了有关印度尼西亚学生数字公民身份方面的互联网技能、互联网态度、计算机自我效能感的广泛测量数据。由于新冠疫情,此次调查于3月至4月在线进行,调查考虑了被调查者对评估人口统计信息(7项)、互联网技能(9项)、互联网态度(5项)、计算机使用专业知识和技能(5项)、尊重(6项)、教育(5项)以及保护(4项)的同意。通过概率抽样,从印度尼西亚中爪哇省5个城市的12所公立和私立高中中随机抽取便利样本,共选取了581名受访者。调查数据采用多元分析和偏最小二乘结构,并运用结构方程模型(SEM)分析技术进行分析。未来,这些数据可帮助教育工作者、研究人员和教育政策制定者确定学生数字公民属性的准备程度,并为在课程项目中加强数字公民身份的努力开展进一步研究提供助力。