Please use this identifier to cite or link to this item:
https://repository.isls.org//handle/1/10036
Title: | What Data is in K-12 Data Science? An Analytic Approach to Understanding the Data Used in K-12 Data Science Courses |
Authors: | Israel-Fishelson, Rotem Moon, Peter F. Tabak, Rachel Weintrop, David |
Keywords: | Learning Sciences |
Issue Date: | 2023 |
Publisher: | International Society of the Learning Sciences |
Citation: | Israel-Fishelson, R., Moon, P. F., Tabak, R., & Weintrop, D. (2023). What data is in K-12 data science? An analytic approach to understanding the data used in K-12 data science courses. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 1819-1820). International Society of the Learning Sciences. |
Abstract: | To help students understand the role of data in their lives, it is important to introduce them to foundational data science. This paper presents an analysis of the data used in YouCubed’s Explorations in Data Science curriculum. This work provides an analytic understanding of how data science is situated in students’ lives and provides insights into ways curricula are preparing them for a data-rich world. |
Description: | Poster |
URI: | https://doi.org/10.22318/icls2023.695697 https://repository.isls.org//handle/1/10036 |
Appears in Collections: | ISLS Annual Meeting 2023 |
Files in This Item:
File | Size | Format | |
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ICLS2023_1819-1820.pdf | 94.09 kB | Adobe PDF | View/Open |
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