A Comprehensive Dataset on Computational Thinking Skills, Curiosity, and Student Engagement in Indonesian Vocational Schools: Student Perspectives
Description
This dataset contains responses from 31 students enrolled in vocational schools in Indonesia, gathered through three distinct questionnaires measuring Computational Thinking Skills (CTS), Curiosity (CIAC - Children Images and Attitudes Curiosity), and Student Engagement in School (SES). The CTS data assesses students' problem-solving and logical reasoning abilities, while the CIAC data evaluates their levels of curiosity and attitudes toward learning. The SES data captures students' emotional, behavioral, and cognitive engagement with their school environment. This dataset offers valuable insights into how students perceive the quality of education in vocational schools, providing critical information for educational researchers, policymakers, and practitioners seeking to enhance learning experiences and student engagement in these institutions.
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Funding
State University of Malang
4.4.1125/UN32.14.1/PM/2024