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Orlando, Fla.
October 31 - November 2, 2014
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2014 ASCD Conference on Educational Leadership

2014 ASCD Conference on Educational Leadership

October 31–November 2, 2014, Orlando, Fla.

Learn the secrets to great leadership practices, and get immediate and practical solutions that address your needs.

 

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February 2003 | Volume 60 | Number 5

Using Data to Improve Student Achievement


Feature Articles

How Classroom Assessments Improve Learning

Thomas R. Guskey

The assessments most likely to improve student achievement are those that teachers create.

A Reader's Guide to Scientifically Based Research

Robert E. Slavin

What makes one research study more valid than another?

Lessons from Research That Changed Education

Gordon Cawelti

Great research, like great art, needs room for new approaches.

First Things First: Demystifying Data Analysis

Mike Schmoker

Setting a limited number of simple, specific improvement goals is the way to begin.

No Schools Left Behind

Victoria L. Bernhardt

A primer for schools attempting to analyze the data they collect.

A Research Report / The Effects of High-Stakes Testing on Student Motivation and Learning

Audrey L. Amrein and David C. Berliner

Having a high-stakes test does not mean that a state can expect its students to do well on other measures of achievement. In addition, such tests can stifle student motivation to learn.

The Power of Testing

Matthew Gandal and Laura McGiffert

Why educators should embrace tests that are tools for transforming teaching and learning.

The Dangers of Testing

Monty Neill

Why educators should repudiate tests that narrow the curriculum and dumb down instruction.

The Seductive Allure of Data

W. James Popham

In the quest for assessment sanity, which kinds of data should we spurn? Which should we respect?

Backward Design for Forward Action

Jay McTighe and Ronald S. Thomas

Here is a framework for using standards and essential questions to plan both curriculum and school improvement.

Using Data: Two Wrongs and a Right

Robert J. Marzano

How schools can avoid common mistakes in building their school improvement plans.

Data Warehousing: Beyond Disaggregation

Lawrence M. Rudner and Carol Boston

A well-organized data archive allows a wide range of analyses using both cross-sectional and longitudinal data.

A Tale of Two Schools' Data

Beverly A. Parsons

Connecting instruction, professional development, and student learning makes all the difference between successful and unsuccessful data use.

Using Data to Differentiate Instruction

Kay Brimijoin, Ede Marquissee and Carol Ann Tomlinson

Collecting data from students is key to shaping effective instruction.

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