This is the authors' abstract. We don't add key points for this paper.
We describe the content, pedagogy and technology of a computational thinking course. While open to students in all majors, in practice the course serves students in predominantly non-STEM majors. We have seen the positive impact on student motivation of the data science context used in the course and the pedagogical value of the cohort model of collaborative peer learning. The technology includes a scaffolded programming environment for accessing curated real-world data sets.
No takes yet. Share an insight, caveat, or question.
Kafura et al. (2018) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: