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Guides - Non-Classroom | 5 |
Journal Articles | 2 |
Books | 1 |
Information Analyses | 1 |
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NTS Research Corp., Durham, NC. – 1978
This guide provides users of the Client Assessment Package (CAP)--a system of forms for recording the process of seeking and using information and assistance for educational improvement--with definitions, operational procedures, and instructions necessary to complete the forms accurately. The purposes of CAP are threefold: to help develop an…
Descriptors: Data Processing, Educational Assessment, Educational Improvement, Educational Media
Bernhardt, Victoria L. – 2000
This guide is designed for school and district administrators and teachers who want to use data to improve their schools, for college and university instructors who teach school administrators, and for support personnel who teach graduate-level education courses. The guide explains how to define the scope of a needed database, how to ready the…
Descriptors: Automation, Computer System Design, Data Processing, Database Design

Todnem, Guy R.; Warner, Michael P. – Journal of Staff Development, 1995
This article discusses how to use technology to collect, store, sort, and reformat assessment data on the school improvement process, explaining the use of desktop computers with databases and the use of portable devices in the assessment process. (SM)
Descriptors: Computer Software, Computer Uses in Education, Data Processing, Databases
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation

Bernhardt, Victoria L. – Educational Leadership, 2003
A primer for schools attempting to analyze the data they collect. Describes ways schools can get a better picture of how to improve learning by gathering, intersecting, and organizing four categories of data more efficiently: (1) demographic data; (2) student-learning data; (3) perceptions data; and (4) school-processes data. (WFA)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Data Processing