Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Data Analysis | 2 |
| Data Collection | 2 |
| Information Utilization | 2 |
| Academic Achievement | 1 |
| Access to Information | 1 |
| Accountability | 1 |
| Attendance | 1 |
| Data Interpretation | 1 |
| Data Processing | 1 |
| Database Design | 1 |
| Databases | 1 |
| More ▼ | |
Source
| Migration Policy Institute | 1 |
Author
| Lachat, Mary Ann | 1 |
| Sugarman, Julie | 1 |
Publication Type
| Guides - Non-Classroom | 2 |
| Information Analyses | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
| Parents | 2 |
| Policymakers | 2 |
| Practitioners | 2 |
| Administrators | 1 |
| Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
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

Direct link
