Teaching Quantitative Ethnography as Data Science Education: How Novices Learned in Using Epistemic Network Analysis

Author:

Ohsaki AyanoORCID

Publisher

Springer Nature Switzerland

Reference33 articles.

1. Shaffer, D.W.: Quantitative Ethnography. Cathcart, Madison (2017)

2. Marr, B.: What is Data Democratization? A Super Simple Explanation and the Key Pros and Cons, Forbs (2017). https://www.forbes.com/sites/bernardmarr/2017/07/24/what-is-data-democratization-a-super-simple-explanation-and-the-key-pros-and-cons/?sh=6de8efcc6013

3. Goasduff, L.: 2 Megatrends Dominate the Gartner Hype Cycle for Artificial Intelligence, Gartner (2020). https://www.gartner.com/smarterwithgartner/2-megatrends-dominate-the-gartner-hype-cycle-for-artificial-intelligence-2020. Accessed 25 Aug 2023

4. National Academies of Sciences, Engineering, and Medicine: Data Science for Undergraduates. https://nap.nationalacademies.org/catalog/25104/data-science-for-undergraduates-opportunities-and-options. Accessed 30 Apr 2023

5. ACM Data Science Task Force: Computing Competencies for Undergraduate Data Science Curricula. https://dstf.acm.org/DSTF_Final_Report.pdf. Accessed 30 Apr 2023

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