Attention - Shipping

The transition of our inventory to a new warehouse is taking longer than we anticipated. As a result, we are experiencing fulfillment delays and order(s) are taking longer to ship out. We are working hard to get the stock moved to our new facility as quickly as possible so that we are better equipped to meet your needs. We apologize for any inconvenience this may cause you.

attention

Getting Messy With Data

by: Joshua Rosenberg, Alex Edwards, and Bodong Chen

Analyzing and interpreting data is essential to the practice of scientists and is also an essential science and engineering practice for science teaching and learning. Although working with data has benefits for student learning, it is also challenging, particularly with respect to aspects of work with data that are not yet very common in schools, such as developing quantitative models, understanding variation in data, and using larger, complex data sources. In this article, we aim to describe tools for engaging students to work with data in your class as well as three general strategies, including understanding how data is collected, experiencing the transformation of messy data sets in preparation for analysis, and modeling the data to answer a question. We show how these strategies can be employed using the freely-available, browser-based Common Online Data Analysis Platform, and outline connections to curricular standards.

Level

High School

Details

Type Journal ArticlePub Date 1/1/2020Pages 6Stock # tst20_087_05_30Volume 087Issue 05

NSTA Press produces classroom-ready activities, hands-on approaches to inquiry, relevant professional development, the latest scientific education news and research, assessment and standards-based instruction.

Learn More