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Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research information management (RIM) is a rapidly growing area of investment in US research universities. RIM systems that support the collection and use of research outputs metadata have been in place for many years. Globally, the RIM ecosystem is quite mature in locales where national research assessment exercises like the United Kingdom's…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Bryant, Rebecca; Fransen, Jan; de Castro, Pablo; Helmstutler, Brenna; Scherer, David – OCLC Online Computer Library Center, Inc., 2021
Research Information Management (RIM) is a rapidly growing area of investment in US research universities, comprised of a variety of use cases, stakeholders, and products. This growth has been characteristically decentralized, resulting in silos, multiple systems, and frequent duplication of efforts at many institutions. This report is a two-part…
Descriptors: Research Universities, Information Management, Metadata, Data Use
Jane Kalista – UNESCO International Institute for Educational Planning, 2023
This conceptual framework aims to build a shared and comprehensive understanding of what constitute EiE data and of the concepts and processes that underpin and guide work on education in emergencies data across a range of contexts, including acute emergencies, protracted crises, and displacement. The framework also presents a number of strategic…
Descriptors: Emergency Programs, Resilience (Psychology), Social Values, Prevention
Marjorie Cohen; Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2020
As the education and workforce development community looks more and more to CTE to help ensure students are both college and career ready, understanding and using CTE data and research becomes increasingly important. This is the first in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE)…
Descriptors: Vocational Education, Units of Study, Data Use, Training Objectives
Marjorie Cohen; Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2020
By partnering with researchers, state CTE administrators have the opportunity to better understand CTE programming and practices across their states. This is the fourth in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE) Research Network Lead. Designed for CTE practitioners and state…
Descriptors: Vocational Education, Educational Research, Research Utilization, Data Use
Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2021
This is the sixth in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE) Research Network Lead. Designed for CTE practitioners and state agency staff, these modules are designed to strengthen the capacity to access, understand, and use CTE data and research as well as conduct one's own…
Descriptors: Vocational Education, Educational Research, Research Utilization, Data Use
Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2021
With research as a guide, designing CTE programs that promote equity and help close the opportunity gap is achievable. This is the fifth in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE) Research Network Lead. Designed for CTE practitioners and state agency staff, these modules are…
Descriptors: Vocational Education, Educational Research, Research Methodology, Research Utilization
Reichlin Cruse, Lindsey; Richburg-Hayes, Lashawn; Hare, Amanda; Contreras-Mendez, Susana – Institute for Women's Policy Research, 2021
The COVID-19 pandemic brought the care crisis in the United States to the fore. Unprecedented closures of child care programs throughout 2020 placed a disproportionate burden on families, and mothers in particular. For parents enrolled in college or considering postsecondary enrollment at the time of the pandemic, the loss of child care services…
Descriptors: Child Care, College Students, Parents, Student Personnel Services
Marjorie Cohen; Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2020
Continuous improvement, a structured process for using data and research to improve educational programming, is an important component in creating and maintaining successful CTE programs. For practitioners to engage in continuous improvement--and to use data and research to go beyond accountability--they need to maintain an effective data…
Descriptors: Vocational Education, Educational Research, Data Use, Research Utilization
Early Childhood Technical Assistance Center, 2021
This document includes guidance, considerations, and resources for state staff and local practitioners who are determining Preschool Special Education eligibility remotely, due in part to COVID-19. To accomplish this, many states are now exploring a variety of approaches such as teleconference, videoconference, and sharing information and video…
Descriptors: Eligibility, Preschool Education, Special Education, Identification
Webber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
Smith, RaQuaam; Klare, Matthew; Fowler, Catherine – National Technical Assistance Center on Transition: The Collaborative, 2021
This set of resources organizes evidence-based strategies for re-engaging and supporting students with disabilities and their families through school completion. This document is comprised of three related quick references--Part 1: Identify Who Is Missing; Part 2: Re-Engaging Students; and Part 3: Continuing Ongoing Dropout Prevention. Each…
Descriptors: Students with Disabilities, COVID-19, Pandemics, Distance Education
Osher, D.; Fisher, D.; Amos, L.; Katz, J.; Dwyer, K.; Duffey, T.; Colombi, G. D. – National Center on Safe Supportive Learning Environments, 2015
Discriminatory discipline practices in the nation's schools disproportionately impact students of color; students with emotional, behavioral, and cognitive disabilities; and youth who identify as lesbian, gay, bisexual, transgender, and questioning (LGBTQ). Large numbers of these students are removed from class, lose opportunities to learn, and…
Descriptors: Discipline, Minority Group Students, Disabilities, Homosexuality
Archer, Jeff; Cantrell, Steve; Holtzman, Steven L.; Joe, Jilliam N.; Tocci, Cynthia M.; Wood, Jess – Bill & Melinda Gates Foundation, 2016
In this book the authors explain how to build, and over time improve, the elements of an observation system that equips all observers to identify and develop effective teaching. It is based on the collective knowledge of key partners in the Measures of Effective Teaching (MET) project--which carried out one of the largest-ever studies of classroom…
Descriptors: Feedback (Response), Teacher Effectiveness, Observation, Teacher Evaluation
Nese, Joseph F. T.; Lai, Cheng-Fei; Anderson, Daniel – Behavioral Research and Teaching, 2013
Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle…
Descriptors: Longitudinal Studies, Data Analysis, Educational Research, Hierarchical Linear Modeling
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