NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Policymakers1
Laws, Policies, & Programs
Carl D Perkins Career and…1
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 7 results Save | Export
Advance CTE: State Leaders Connecting Learning to Work, 2022
This brief, the second in the series, advances a theory of change that centers the learner experience in strategies to improve institutional data collection and use and strengthen college information management systems. It is the second in the Advance CTE's Advancing Postsecondary CTE Data Quality Initiative (PDI) series highlighting five states…
Descriptors: Vocational Education, Program Improvement, Data Use, Data Collection
Yoo, Paul Youngmin; Whitaker, Anamarie A.; McCombs, Jennifer Sloan – RAND Corporation, 2019
Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…
Descriptors: Nonprofit Organizations, After School Programs, Summer Programs, Data Collection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ariyachandra, Thilini – Information Systems Education Journal, 2020
During the past decade, digital transformation enabled by big data and analytics emerged as a key theme in the business world. It promises to continue be a theme of major importance in the 2020s. Digital transformation comes at the cost of grappling with and analyzing the ever-growing volume of data. Data visualization techniques are seen as a…
Descriptors: Skill Development, Undergraduate Students, Data Analysis, Data Use
Preel-Dumas, Camille; Hendra, Richard; Denison, Dakota – MDRC, 2023
This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…
Descriptors: Labor Force Development, Programs, Prediction, Success
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ann Marie Cotman; F. Chris Curran; Katharine Harris-Walls – Education Policy Analysis Archives, 2024
Choices made on data visualizations guide how users make meaning of the information presented. This research investigates design decisions made on 115 state-level dashboards reporting school safety data. Using pre-determined codes drawn from a framework of visualization rhetoric, dashboard characteristics were described and analyzed. Analysis…
Descriptors: School Safety, Data, Visual Aids, State Agencies
Gouëdard, Pierre – OECD Publishing, 2021
Across OECD countries, the increasing demand for evidence-based policy making has further led governments to design policies jointly with clear measurable objectives, and to define relevant indicators to monitor their achievement. This paper discusses the importance of such indicators in supporting the implementation of education policies.…
Descriptors: Educational Indicators, Program Implementation, Educational Policy, Policy Formation
Peer reviewed Peer reviewed
Direct linkDirect link
Awuah, Rebecca; Gallagher, Kristel M.; Dierker, Lisa C. – Statistics Education Research Journal, 2020
To evaluate the impact of a multidisciplinary, project-based course in introductory statistics, this exploratory study examined learning experiences, feelings of confidence, and interest in future experiences with data for undergraduate students in Ghana, West Africa. Students completed a one-semester, introductory statistics course utilizing the…
Descriptors: Active Learning, Student Projects, Statistics Education, Introductory Courses