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von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Swail, Watson Scott; Fung-Angarita, Maly – Educational Policy Institute, 2018
The issue of student retention and graduation from postsecondary institutions has grown in stature over the past decade. While the last 40 years of federal and state policies have focused largely on access to college, there is now a very real interest in not only getting students into college but also helping them earn baccalaureate and other…
Descriptors: Data Collection, Postsecondary Education, College Students, School Holding Power
OECD Publishing, 2016
Digitalisation, globalisation, demographic shifts and other changes in work organisation are constantly reshaping skill needs. This can lead to persistent skill shortages and mismatch which are costly for individuals, firms and society in terms of lost wages and lower productivity and growth. These costs can be reduced through better assessment…
Descriptors: Skill Development, Skill Analysis, Needs Assessment, Labor Market
Whitfield, Christina; Armstrong, John; Weeden, Dustin – State Higher Education Executive Officers, 2019
Since 2010, the State Higher Education Executive Officers Association (SHEEO) has periodically administered the "Strong Foundations" survey, which documents the content, structure, and effective use of state postsecondary student unit record systems (PSURSs). This report highlights the results of the fourth administration of the survey,…
Descriptors: Postsecondary Education, Information Systems, Student Records, Data Collection
Wieman, Rob – Action in Teacher Education, 2014
What data should teachers use, and how should they use these data to improve their teaching? In this review, a diverse set of literature that addresses this question is categorized according to three distinct approaches: the diagnostic approach, the methods approach, and the teacher approach. Within the diagnostic approach, teachers collect data…
Descriptors: Instructional Improvement, Evaluation Utilization, Information Utilization, Data
Armstrong, John; Whitfield, Christina – State Higher Education Executive Officers, 2016
This report addresses two key questions about postsecondary student unit record data systems (PSURSs): (1) What data are collected by various parties; and (2) how do these entities use the data to inform policy decisions? This 2016 report is both a follow-up and a redesign of two previous "Strong Foundations" reports by SHEEO (2010 and…
Descriptors: Postsecondary Education, Information Systems, Student Records, Data Collection
Morfidi, Eleni; Samaras, Anastasia P. – Teacher Education and Special Education, 2015
In this exploratory study, the authors examine Greek special education teachers' individual and collaborative teaching experiences in the context of their literacy instruction. The Five Foci Framework, situated in Vygotskian theory, is utilized in the study's design to examine special education teachers' individual and collaborative experiences…
Descriptors: Foreign Countries, Special Education Teachers, Teaching Experience, Teacher Collaboration
Wayman, Jeffrey C.; Cho, Vincent; Jimerson, Jo Beth; Spikes, Daniel D. – Education Policy Analysis Archives, 2012
In the present study, an examination is conducted in three school districts of how data are used to improve classroom practice. In doing so, we explore the effects that attitudes toward data, principal leadership, and computer data systems have on how data are used to affect classroom practice. Findings indicate that educators are ambivalent about…
Descriptors: Leadership, Data Collection, Evaluation Utilization, Information Utilization