State borders are the areas that are vulnerable to the degradation of national identity. The purpose of this study was to investigate the attitudes and the behavior of language use among the multi-ethnic Indonesian of predominantly Dayak, Malay, and Chinese who resided on the Indonesia-Malaysia border. The present research applied a qualitative ethnographic approach to document and to describe how a group of multi-ethnic communities participated in building their awareness, attitudes and practices of language as a national identity. The data were taken from 20 informants. They were teachers, students, local people, entrepreneurs, and state civil apparatus. The research found out that the ethnic groups on the border were highly aware of using Indonesian language as evidenced through a form of community involvement, volunteerism and social attitudes in civilizing Indonesian as the dominant language at the border. Their awareness was shown through their involvement, volunteerism, and social attitudes in developing Indonesian language as the dominant language in the border. It is argued that the involvement of all ethnic groups on the border affects positively on strengthening their attitudes and awareness in using Indonesian language.
This dataset describes the measurement of adversity quotient (AQ), attitude computer technology (ACT), and self-efficacy with computer technology (SCT) of Indonesian teachers in implementing the technological pedagogical content knowledge (TPACK) concept in their teaching practice. The online survey was distributed to collect data on demographic information (4 items), AQ (11 items), ACT (19 items), SCT (22 items), and TPACK (5 items). It was carried out from August to September 2022. A total of 901 teachers from 28 provinces in Indonesia were recruited using probability sampling technique. Data from the survey were analyzed using the statistical analysis of One Way Anova and Partial Correlation. This dataset can help teacher institutions design effective programs to develop teacher digital competencies in integrating technology. Future researchers can compare this dataset with more rigorous data from developing countries.
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.