Digital Competencies Mapping Dataset of Pre-service Teachers in Indonesia

Description

This dataset used the Digital Competency Scale (DCS) to describe Indonesian pre-service teachers’ perceptions. The DCS instrument consisted of five constructs/dimensions, which are: 1) data and information literacy, 2) communication and collaboration, 3) digital content creation, 4) safety, and 5) problem-solving, with a total of 36 items using five-point agreement Likert scale. The data was gathered from 23 education and teacher training faculties at Muhammadiyah Universities in 14 provinces across Indonesia in the academic year 2021/2022. A total of 1400 students (18 to 23 years old) in their first to fifth years of study were recruited using the convenience sampling technique, where they participated in filling in the survey electronically using Google Form. The dataset was analysed with the Rasch model measurement approach using WINSTEPS version 5.2.3 software for data cleaning and validation, and reliability and validity testing of the instrument. This dataset analysis can help teacher-training institutions, or higher education policymakers design effective programmes to improve pre-service teachers' digital competencies. Furthermore, researchers can compare this dataset with more rigorous data from other countries.

Steps to reproduce

Data was gathered from the 1st to 5th year pre-service teachers across departments at Muhammadiyah's Universities in Indonesia. The survey was conducted on June 17th- 22nd, 2021, by broadcasting the digital Likert scale questionnaires (Google form) to the Deans/heads of Education faculties at Muhammadiyah Universities through the association of Muhammadiyah's higher-education network. After collection, the raw data is converted into a .xlsx extension format, then .prn format, before being analysed using Winsteps 5.23 software. The analysis used in this study using Winsteps 5.2.3 software includes statistical analysis, person-item measurement, unidimensionality, instrument's validity and reliability, and item and person's Wright mapping.

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