Identifying the Content, Lesson Structure, and Data Use Within Pre-collegiate Data Science Curricula

Author:

Lee Victor R.ORCID,Delaney Victoria

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,Education

Reference71 articles.

1. Arnold, P., & Pfannkuch, M. (2019). Posing comparative statistical investigative questions. In G. Burrill & D. Ben-Zvi (Eds.). Topics and trends in current statistics education research: International perspectives (pp. 173–195). Springer International Publishing.

2. Bakker, A., Biehler, R., & Konold, C. (2005). Should young students learn about box plots? In M. C. Gail Burrill (Ed.). Curricular development in statistics education (pp. 163–173). International Statistical Institute.

3. Bargagliotti, A., Franklin, C., Arnold, P., Gould, R., Johnson, S., Perez, L., & Spangler, D. (2020). Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education (GAISE) report II. American Statistical Association.

4. Ben-Zvi, D., & Arcavi, A. (2001). Junior high school students construction of global views of data and data representations. Educational Studies in Mathematics, 45(1), 35–65. https://doi.org/10.1023/A:1013809201228

5. Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. https://doi.org/10.3316/QRJ0902027

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