Chapter 1: Introduction

Educators interested in using data effectively will:

• collect appropriate data
• organize data into visual representations where possible: tables, charts, and graphs
• use technology to assist in the storage, manipulation and visual representations of data
• analyze the data in light of the qualities of known effective schools and by considering outcome data together with demographic and process data
• predict, hypothesize, make assumptions, and test assumptions
• interpret the data by setting goals, targets, and objectives to increase student achievement
• act by implementing classroom or school-wide strategies to achieve the goals
• consider new data, review and alter plans and strategies, as needed, as improvement is an ongoing process

This module, Best Practices in Using Data to Improve Achievement, defines and clarifies the various types of student achievement data. It introduces how data can be collected, organized, analyzed, and interpreted in order to improve student achievement.

In this module, you will have an opportunity to:

• review and understand the basics about data
• review the various types and sources of student achievement data
• review the language of standardized test results
• understand disaggregated data
• review the use of tables, graphs, and/or charts
• understand the value of technology in organizing data
• preview a data warehousing and analysis tool
• review analysis and interpretation of data

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