Title

Demystifying The Data-Based Decision-Making Process

Abstract

Across the United States, teachers and teacher educators are facing increased accountability for improved student achievement. Using assessment results to inform instruction provides a catalyst to improve student outcomes and is a key skill for preservice teacher candidates. The process of data-based decision making is integral to performance tasks by teachers. Therefore, teacher– educators need to develop teacher candidates with the knowledge and skills to collect and use data to assess their own teaching and, ultimately, improve student achievement. In addition, these student achievement data are now also important to the accountability processes and accreditation of educator preparation programs. The purpose of this article is to describe a conceptual model, including specific skills and processes of data-based decision making, to address accountability demands for continuous improvement based upon student learning results across multiple contexts. Considerations for implementation by teacher educators will be shared to build a comprehensive system of sustained school reform.

Publication Date

11-2-2014

Publication Title

Action in Teacher Education

Volume

36

Issue

5-6

Number of Pages

389-400

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/01626620.2014.977690

Socpus ID

85020102304 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85020102304

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