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Analyzing and Interpreting Data

by: Christina V. Schwarz, Cynthia Passmore, and Brian J. Reiser

In this chapter, to highlight the development of this practice across K–12, a series of classroom examples are presented of analyzing and interpreting data. Each example is followed by a commentary that highlights the salient features of the example as related to the key aspects of the practice. The practice of analyzing and interpreting data is complex and must build over multiple supported experiences across years of schooling. However, as exemplified by the individual cases presented, there are lots of potential applications of this practice across the curriculum. By incorporating this practice in science instruction, students will gain not only expertise at working with data but also a deeper understanding and appreciation for the interconnections between science concepts and the real world. A list of materials, teacher background information, standards, assessment, and references are provided. This book selection also includes the Table of Contents, About the Editors, Contributors, Acknowledgments, and Index.

Details

Type Book ChapterPub Date 1/31/2017Pages 46Stock # PB351X_8

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.

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