Education Sciences, Volume 15, Issue 1
2025 January - 111 articles
Cover Story: Computational thinking is a critical component of modern science. The following study explores the extent to which computational thinking for science, measured using a newly developed assessment based on the framework of Hurt et al. (2023), is predictive of science learning across diverse learners and contexts. A total of 600 middle school students completed a series of online surveys and assessments to measure their computational thinking for science and science content learning over the course of 18 weeks. Our results indicated that computational thinking for science is a consistent predictor of science content learning in middle school science across variations in students and classrooms, above and beyond students’ fascination in STEM or scientific sensemaking. Implications for the assessment and design of science learning experiences are discussed. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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