Search Results: (16-30 of 57 records)
|Forum Guide to Planning for, Collecting, and Managing Data About Students Displaced by a Crisis
The Forum Guide to Planning for, Collecting, and Managing Data About Students Displaced by a Crisis provides timely and useful best practice information for collecting and managing data about students who have temporarily or permanently enrolled in another educational setting because of a crisis. This guide updates the information included in the 2010 publication Crisis Data Management: A Forum Guide to Collecting and Managing Data about Displaced Students; highlights best practices that education agencies can adopt before, during, and after a crisis; and features case studies and real-world examples from agencies that have either experienced a crisis or received students who were displaced by a crisis.
|Forum Guide to Personalized Learning Data
The Forum Guide to Personalized Learning Data is designed to assist education agencies as they consider whether and how to use personalized learning. It provides an overview of personalized learning and describes best practices used by education agencies to collect data for personalized learning; to use those data to meet goals; and to support relationships, resources, and systems needed for the effective use of data in personalized learning. Personalized learning is still a developing prospect in many locations. therefore, the concepts and examples provided are intended to help facilitate idea sharing and discussion.
|Forum Guide to Early Warning Systems
The Forum Guide to Early Warning Systems provides information and best practices to help education agencies plan, develop, implement, and use an early warning system in their agency to inform interventions that improve student outcomes. The document includes a review of early warning systems and their use in education agencies and explains the role of early warning indicators, quality data, and analytical models in early warning systems. It also describes how to adopt an effective system planning process and recommends best practices for early warning system development, implementation, and use. The document highlights seven case studies from state and local education agencies who have implemented, or are in the process of implementing, an early warning system.
|Forum Guide to Facility Information Management: A Resource for State and Local Education Agencies
The Forum Guide to Facility Information Management: A Resource for State and Local Education Agencies helps state and local education agencies plan, design, build, use, and improve their facility information systems. It includes a review of why school facilities data matter and recommends a five-step process that an education agency can undertake to develop a robust facility information system around goals, objectives, and indicators. The document also includes selected measures of school facilities quality and offers a logical approach to organizing facility and site data elements associated with facility identification, condition, design, utilization, management, and budget and finance.
|Forum Guide to Reporting Civil Rights Data
The Forum Guide to Reporting Civil Rights Data presents a variety of effective methods through which local education agencies (LEAs) report civil rights data to the U.S. Department of Education’s Office for Civil Rights. In addition, the guide provides examples of how state education agencies can voluntarily help their LEAs with Civil Rights Data Collection (CRDC) reporting. The guide includes an overview of the CRDC, a discussion of the challenges and opportunities in reporting civil rights data, an explanation of the CRDC reporting process, and case studies that examine how specific education agencies report civil rights data.
|The Forum Guide to Collecting and Using Attendance Data
The Forum Guide to Collecting and Using Attendance Data is designed to help state and local education agency staff improve their attendance data practices – the collection, reporting, and use of attendance data to improve student and school outcomes. The guide offers best practice suggestions and features real-life examples of how attendance data have been used by education agencies. The guide includes a set of voluntary attendance codes that can be used to compare attendance data across schools, districts, and states. The guide also features tip sheets for a wide range of education agency staff who work with attendance data.
|Forum Guide to Data Visualization: A Resource for Education Agencies
The purpose of this publication is to recommend data visualization practices that will help education agencies communicate data meaning in visual formats that are accessible, accurate, and actionable for a wide range of education stakeholders. Although this resource is designed for staff in education agencies, many of the visualization principles apply to other fields as well.
|Forum Guide to Collecting and Using Disaggregated Data on Racial/Ethnic subgroups
The Forum Guide to Collecting and Using Disaggregated Data on Racial/Ethnic Subgroups discusses strategies for collecting data on more detailed racial/ethnic subgroups than the seven categories used in federal reporting. This guide is intended to help state and district personnel learn more about data disaggregation in the field of education, decide whether this effort might be appropriate for them, and, if so, how to implement or continue a data disaggregation project. Access to and analysis of more detailed—that is, disaggregated—data can be a useful tool for improving educational outcomes for small groups of students who otherwise would not be distinguishable in the aggregated data used for federal reporting. Disaggregating student data can help schools and communities plan appropriate programs, decide which interventions to select, use limited resources where they are needed most, and see important trends in educational outcomes and achievement.
|Forum Guide to Education Data Privacy
The Forum Guide to Education Data Privacy was developed as a resource for state and local education agencies (SEAs and LEAs) to use in assisting school staff in protecting the confidentiality of student data in instructional and administrative practices. SEAs and LEAs may also find the guide useful in developing privacy programs and related professional development programs.
|Forum Guide to Elementary/Secondary Virtual Education Data
Forum guide to elementary/secondary virtual education data was developed to assist education agencies as they: 1) consider the impact of virtual education on established data elements and methods of data collection, and 2) address the scope of changes, the rapid pace of new technology development, and the proliferation of resources in virtual education.
|Forum Guide to Alternative Measures of Socioeconomic Status in Education Data Systems
The Forum Guide to Alternative Measures of Socioeconomic Status in Education Data Systems provides “encyclopedia-type” entries for eight plausible alternative measures of socioeconomic status (SES) to help readers better understand the implications of collecting and interpreting a range of SES-related data in education agencies. Chapter 1 reviews recent changes in how SES data are collected in many education agencies and presents a call to action to the education community. Chapter 2 reviews practical steps an agency can take to adopt new measures. Chapter 3 describes each of the eight alternative measures, including potential benefits, challenges, and limitations of each option.
|Forum Guide to College and Career Ready Data
The Forum Guide to College and Career Ready Data examines how data are being used to support CCR initiatives. Chapter 1 presents an overview of college and career readiness. Chapter 2 focuses on five specific uses for data to support CCR programs: fostering individualized learning for students; supporting educators in addressing student-specific needs; guiding CCR programmatic decisions through the use of postsecondary feedback loops; measuring agency progress in meeting CCR accountability and continuous improvement goals; and maximizing career opportunities for all students. Each of the use cases includes policy and program questions to consider, a list of key data needs, useful analytics, suggested feedback to request from data users, and emerging needs related to the data use. Chapter 3 outlines a number of overarching issues for the use of CCR data, and Chapter 4 summarizes key points and emerging needs identified throughout the Guide.
|Financial Accounting for Local and State School Systems: 2014 Edition
This NCES handbook has been designed as the national standard for state and local education agencies to use in tracking and reporting financial data and for school districts to use in preparing their comprehensive annual financial reports (CAFRs). The purpose of the handbook is to ensure that education fiscal data can be reported in a comprehensive manner.
The 2014 Edition contains guidance conforming to Governmental Accounting Standards Board Statements, up to Statement 70. There are chapters on budgeting, governmental accounting and financial reporting. Account codes have been updated to reflect changes in the new reporting requirements and developments in technology and security. There are also special chapters on accounting student activity funds and a model for school level program cost accounting.
|FORUM GUIDE TO School Courses for the Exchange of Data (SCED) Classification System
This guide was developed by the National Forum on Education Statistics (Forum) to accompany the release of SCED Version 2.0 Course Codes at http://nces.ed.gov/forum/SCED.asp. It includes an overview of the SCED structure and descriptions of the SCED Framework elements, recommended attributes, and information for new and existing users on best practices for implementing and expanding their use of SCED.
|Forum Guide to Supporting Data Access for Researchers: A Local Education
This publication recommends a set of core practices, operations, and templates that can be adopted and adapted by LEAs as they consider how to respond to requests for both new and existing data about the education enterprise. .
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