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ERIC Number: EJ1339515
Record Type: Journal
Publication Date: 2022
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2227-7102
EISSN: N/A
Available Date: N/A
A Model of Scientific Data Reasoning
Masnick, Amy M.; Morris, Bradley J.
Education Sciences, v12 Article 71 2022
Data reasoning is an essential component of scientific reasoning, as a component of evidence evaluation. In this paper, we outline a model of scientific data reasoning that describes how data sensemaking underlies data reasoning. Data sensemaking, a relatively automatic process rooted in perceptual mechanisms that summarize large quantities of information in the environment, begins early in development, and is refined with experience, knowledge, and improved strategy use. Summarizing data highlights set properties such as central tendency and variability, and these properties are used to draw inferences from data. However, both data sensemaking and data reasoning are subject to cognitive biases or heuristics that can lead to flawed conclusions. The tools of scientific reasoning, including external representations, scientific hypothesis testing, and drawing probabilistic conclusions, can help reduce the likelihood of such flaws and help improve data reasoning. Although data sensemaking and data reasoning are not supplanted by scientific data reasoning, scientific reasoning skills can be leveraged to improve learning about science and reasoning with data.
MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. e-mail: education@mdpi.com; e-mail: indexing@mdpi.com; Web site: https://www.mdpi.com/journal/education
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
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Language: N/A
Sponsor: N/A
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Author Affiliations: N/A