Dataset on Digital Competence Practices in Indonesian Universities
Description
This dataset presents responses from 519 lecturers in Indonesian higher education institutions collected through an online survey regarding the implementation of digital competence in the post-COVID-19 educational context. The dataset captures various dimensions related to lecturers’ adaptation to digital transformation in teaching and learning following the pandemic-induced shift toward technology-mediated education. The dataset includes demographic and professional information such as gender, institutional support, teaching preferences, and forms of collegial collaboration. In addition, several key determinants associated with digital competence implementation are measured, including attitude toward computer technology, self-efficacy with computer technology, and digital competence assessed using the DigCompEdu Check-In self-assessment tool. Structured to support reproducibility and secondary analysis, the dataset provides opportunities for examining the relationships between institutional factors, individual psychological determinants, and lecturers’ digital competence in higher education settings. The dataset may support researchers, educators, and policymakers in evaluating post-pandemic digital transformation, identifying factors influencing technology integration in teaching practices, and developing evidence-based strategies to strengthen digital competence among university lecturers in developing countries, particularly in the Indonesian context.
Files
Steps to reproduce
Data were gathered through an online survey distributed to lecturers from higher education institutions across Indonesia using Google Forms. The online format was selected to accommodate broad geographic coverage and to capture lecturers’ experiences in adapting digital competence practices following the COVID-19 pandemic. The survey focused on how lecturers integrate digital technologies into teaching and professional activities within the evolving landscape of higher education. Following data collection, responses were screened and coded to ensure data quality, completeness, and consistency prior to statistical analysis. The dataset was processed and analyzed using IBM SPSS Statistics version 29. Initial procedures included descriptive analysis, reliability assessment, and data distribution testing to confirm the suitability of the dataset for subsequent quantitative analysis. The analysis examined the association between demographic and institutional variables—such as gender, institutional support, teaching preferences, and collegial collaboration—and major determinants of digital competence implementation. These determinants included attitude toward computer technology, self-efficacy with computer technology, and digital competence measured through the DigCompEdu Check-In self-assessment instrument. In addition, the dataset can be utilized for further analytical approaches, including comparative analysis, regression modeling, mediation analysis, and structural investigations related to post-pandemic digital transformation in higher education.
Institutions
- Muhammadiyah University of SurakartaCentral Java, Surakarta