학술논문
Introduction to rethinking learners' reasoning with nontraditional data.
Document Type
Article
Source
Subject
*TEACHER development
*EYE tracking
*BIG data
*SCIENCE education
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Language
ISSN
0141-982X
Abstract
They also observed that spending time having teachers move from data visualizations to data tables is also challenging, but may be a fruitful approach supporting better understanding of the relationships between data and visualizations. Erickson and Engel [[5]] utilize fairly traditional data; however, they explore these data through nontraditional forms of data visualization. The papers in this issue are an important starting point for considering how statistics and data science educators can begin the hard work of preparing students for a more complex society, one driven by data (real and fake) and computing technologies. Traditional statistics education has focused on data from random samples and has capitalized on knowledge about a sample to understand an unknown population. [Extracted from the article]