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Erschienen in:
2023 | OriginalPaper | Buchkapitel
18. Data Science Teacher Preparation: The “Method for Teaching Data Science” Course
verfasst von : Orit Hazzan, Koby Mike
Erschienen in: Guide to Teaching Data Science
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Abstract
In this chapter, we focus on the second component of the MERge model, namely education. We present a detailed description of the Method for Teaching Data Science (MTDS) course that we designed and taught to prospective computer science teachers at our institution, the Technion—Israel Institute of Technology. Since our goal in this chapter is to encourage the implementation and teaching of the MTDS course in different frameworks, we provide the readership with as many details as possible about the course, including the course environment (Sect. 18.2), the course design (Sect. 18.3), the learning targets and structure of the course (Sect. 18.4), the grading policy and assignments (Sect. 18.5), teaching principles we employed in the course (Sect. 18.6), and a detailed description of two of the course lessons (Sect. 18.7). Full, detailed descriptions of all 13 course lessons are available on our Data Science Education website. We hope that this detailed presentation partially closes the pedagogical chasm presented in Chap. 9.