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Award ID contains: 2201393

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  1. ; ; (, International Society of the Learning Sciences)
    Abstract: There is a consensus to introduce data science to secondary schools. However, data science is interdisciplinary in nature and not easy to teach in K−12 settings. We proposed a new approach to integrate mathematics, statistics, and programming—the foundations of data science—for high school students based on set theory and logic. We developed an 8-week data science foundation course and implemented it in a public high school. We conducted semistructured group interviews to collect students’ feedback on the course and the new approach. Students thought the approach could well connect the topics and helped them learn the interdisciplinary content. 
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    Free, publicly-accessible full text available June 10, 2025
  2. ; ; ; ; (, SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education)
    Accepted Manuscript Full Text Available