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Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students

Published: 05 March 2021 Publication History

Abstract

We delivered a large Introduction to Data Science course with a team of undergraduate Teaching Assistant-Researchers (TARs) who both helped students in the lab and collected qualitative observations about student learning. The TARs were concurrently participating in a senior-level Pedagogy of Data Science seminar.
We present a strategy for collecting and systematizing our observations, and present actionable conclusions that can be used to improve future offerings of the course. We present evidence that suggests that participating in the study raised student performance on an end-of-semester test by 0.4σ (CI: [0.1σ, 1.8σ], p = 0.02), where σ is the class standard deviation.

Reference

[1]
Colleen M. Lewis. 2019. A Case Study of Qualitative Methods. In The Cambridge Handbook of Computing Education Research, Sally A. Fincher and Anthony V. Robins (Eds.). Cambridge University Press, 875--894.

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  1. Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students

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    cover image ACM Conferences
    SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
    March 2021
    1454 pages
    ISBN:9781450380621
    DOI:10.1145/3408877
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 05 March 2021

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    1. cs1
    2. data science
    3. pedagogical content knowledge
    4. pedagogy
    5. qualitative methods

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