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Smith-Yoshimura, Karen – OCLC Online Computer Library Center, Inc., 2020
This annotated bibliography provides more details on the "Hanging Together" posts referred to in "Transitioning to the Next Generation of Metadata" (see ED617919), primarily summaries of discussions by the OCLC Research Library Partners Metadata Managers Focus Group in 2015-2020. The order of the sections matches that in the…
Descriptors: Metadata, Information Management, Library Services, Data
Davison, Patrick; Bulger, Monica; Madden, Mary – Joan Ganz Cooney Center at Sesame Workshop, 2020
The tween and teen years are critical as youth explore and begin to form their identities. With "By/With/For Youth: Inspiring Next Gen Public Media Audiences," the Joan Ganz Cooney Center at Sesame workshop and the Corporation for Public Broadcasting seek to more deeply understand the current media habits of tweens and teens in order to…
Descriptors: Preadolescents, Early Adolescents, Mass Media, Mass Media Effects
Johnston, William R.; Hamilton, Laura S.; Grant, David; Setodji, Claude Messan; Doss, Christopher Joseph; Young, Christopher J. – RAND Corporation, 2020
This report provides information about the sample, survey instrument, and resultant data for the 2019 Learn Together Surveys (LTS) that were administered to principals and teachers in March 2019 via the RAND Corporation's American Educator Panels (AEP). It includes a full set of basic frequency tables for each survey. The LTS focus on several…
Descriptors: Teacher Surveys, National Surveys, Social Emotional Learning, Postsecondary Education
Young, Christopher J.; Grant, David; Hamilton, Laura S.; Hunter, Gerald P.; Setodji, Claude Messan; Strawn, Matt – RAND Corporation, 2020
This report provides information about the sample, survey instrument, and resultant data for the 2020 Learn Together Surveys (LTS) that were administered to principals and teachers in March 2020 via the RAND Corporation's American Educator Panels. It includes a full set of basic frequency tables for each survey. The LTS focus on several topics,…
Descriptors: National Surveys, Teacher Surveys, Administrator Surveys, Secondary School Teachers
Leysinger, Claudine; Hasgall, Alexander; Peneoasu, Ana-Maria – European University Association, 2020
In recent years, European universities and other stakeholders have taken interest in career tracking in doctoral education as one of the ways to better understand the potential professional future of doctoral candidates. This report reflects the outcomes of the work of the European University Association-Council for Doctoral Education (EUA-CDE)…
Descriptors: Career Development, Doctoral Degrees, Universities, International Organizations
Data Quality Campaign, 2020
Over the past several years, policymakers across the country have enacted and updated policies designed to address safe data use in modern and evolving classrooms; now, changes in teaching practice are happening on an unprecedented scale and pace following the rapid transition to online learning. States will need to move quickly to provide student…
Descriptors: COVID-19, Educational Policy, Privacy, Student Records
Data Quality Campaign, 2020
States can and should continue to measure student growth in 2021. Growth data will be crucial to understanding how school closures due to COVID-19 have affected student progress and what supports they will need to get back on track. Education leaders will also need growth data to ensure that any recovery efforts are equitable as well as effective…
Descriptors: Student Evaluation, Growth Models, State Policy, State Standards
La Salle, Tamika P. – Center on Positive Behavioral Interventions and Supports, 2020
The purpose of this brief is to provide information about how to evaluate school climate at the primary and secondary levels. Norms and ranges are provided and based on a national data; this data can help schools to contextualize local data. Information for interpreting the data and unit if for data-based decision making is also included.
Descriptors: School Surveys, Educational Environment, Student Surveys, Student Characteristics
Hefler, Günter; Steinheimer, Eva – European Commission, 2020
This report summarises the results of the project "Measuring Learning Mobility in Vocational Education and Training" (specific contract n° VC/2019/0024 signed between Directorate-General for Employment, Social Affairs and Inclusion, Unit E3 and GOPA, under the Eurostat framework contract 2018.0086). The current project has aimed at…
Descriptors: Foreign Countries, Vocational Education, Educational Assessment, Outcomes of Education
Brennan Jeremy Carr – ProQuest LLC, 2020
This study examined the impact of Career & Technical Education (CTE) credit accumulation on the persistence and academic attainment of student service members/veterans (SSM/V) within the 2-year public postsecondary education segment. SSM/V are a small but significant population of underrepresented non-traditional students within postsecondary…
Descriptors: Community College Students, Veterans, Military Personnel, Academic Persistence
Reena Patel – ProQuest LLC, 2020
In this descriptive study, I examined data from the Bill and Melinda Gates Millennial Scholars Cohort 3 Survey Data whom are high- achieving, low-income, historically marginalized college students, to identify the unique characteristics of students whose parents have not attended college. More specifically, academic preparation, academic…
Descriptors: First Generation College Students, Student Characteristics, Parent Background, Data Analysis
Rafalow, Matthew H.; Puckett, Cassidy – Educational Researcher, 2022
Existing scholarship suggests that schools do the work of social stratification by functioning as "sorting machines," or institutions that determine which populations of students are provided educational resources needed to help them get ahead. We build on this theory of social reproduction by extending it to better understand how…
Descriptors: Technology Uses in Education, Social Stratification, Resource Allocation, Data Use
Koutsoukis, Nikitas-Spiros; Fakiolas, Efstathios; Katsis, Athanassios; Papadimitriou, Pyrros – Policy Futures in Education, 2022
The purpose of this article is to describe a multidisciplinary approach implemented in teaching public policy analysis at university level. The approach fuses (a) contextual policy analysis with (b) bivariate and multivariate analysis techniques and (c) data analytics skills to improve the learners' competence to conduct "decisional"…
Descriptors: Interdisciplinary Approach, Policy Analysis, Teaching Methods, Public Policy
Vittengl, Jeffrey R.; Vittengl, Karen L. – Teaching of Psychology, 2022
Background: Acquisition and generalization of data analysis skills are perennial challenges for psychology students. Teaching advanced data analysis in a psychology-specific context might improve students' learning. Objective: At a mid-sized public university, we evaluated student outcomes after a new quantitative psychology course taught in the…
Descriptors: Teaching Methods, Data Analysis, Generalization, Psychology
Shyjka, Andria – University of Chicago Consortium on School Research, 2022
Despite the considerable resources dedicated to teacher evaluation reform, there is currently little evidence on the mechanisms by which evaluation translates into improvements in teachers' instructional practice. To address this need, this study was a two-pronged approach to examine the use of evaluation data for improvement within the Chicago…
Descriptors: Teacher Evaluation, Instructional Improvement, Public School Teachers, Program Implementation