Digital Competencies Mapping Dataset of Pre-service Teachers in Indonesia

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.

本数据集采用数字能力量表（Digital Competency Scale, DCS），用以描述印尼职前教师的认知感知。该DCS工具包含5个构念/维度，分别为：1）数据与信息素养，2）沟通与协作，3）数字内容创作，4）安全素养，5）问题解决能力，共计36个题项，采用五点李克特同意量表进行计分。
数据采集于2021/2022学年，覆盖印尼14个省份的穆罕默迪亚大学（Muhammadiyah Universities）下属23个教育与教师培训学院。本研究采用便利抽样法，招募了1400名在读师范生，年龄介于18至23岁，就读年级为大一至大五，受试者通过谷歌表单（Google Form）在线完成问卷调研。
本数据集采用拉希特模型（Rasch model）测量方法，结合WINSTEPS 5.2.3软件完成数据清洗、效度与信度检验，实现对调研工具的验证分析。
该数据集的分析结果可助力教师培训机构与高等教育政策制定者设计高效方案，以提升职前教师的数字能力；此外，研究者亦可将本数据集与其他国家的严谨调研数据进行对比分析。