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Nguyen, Alyssa; Molloy, Kathy; White, Michelle; Nguyen, Vinh – RP Group, 2020
Meta-majors refer to the creation of broad program pathways or areas of interest, such as "Allied Health or Business." They are key components of the Guided Pathways efforts that provide students with a more structured and integrated academic experience. There are several different approaches (e.g., sorting exercises) colleges can use to…
Descriptors: Community Colleges, Majors (Students), Data Use, Identification
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
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
Truckenmiller, Adrea J.; Yohannan, Justina; Cho, Eunsoo – Communique, 2020
When students struggle with reading, school-based teams seek more information about why those students are struggling in order to provide instruction that will meet the students' needs. This process occurs for students needing Tier 2 or 3 instruction and students with disabilities who have reading goals. Reading specialists, special education…
Descriptors: Reading Tests, Data Use, Educational Planning, Reading Difficulties
Tsai, Tiffany; Tosh, Katie – RAND Corporation, 2020
Teachers' use of student data to inform instruction is commonly accepted as sound educational practice, and this data use is only likely to grow as more data, as well as more-complex data, become increasingly available to educators. However, numerous studies reveal inconsistent data use among teachers and an overall lack of the preparation and…
Descriptors: Data Analysis, Data Use, Database Management Systems, Personnel Data
David Lopez; Erica Mallett Moore; Amanda Nabors – WestEd, 2024
Education policies serve as potent tools for advancing equitable outcomes and systematically addressing inequities in schools and districts. But education policies often mirror inequities and bias-based beliefs within the K-12 education system. Increasing educational equity is key to overcoming the status quo and improving educational outcomes for…
Descriptors: Equal Education, Educational Policy, Outcomes of Education, Elementary Secondary Education
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Shakman, Karen; Wogan, Diana; Rodriguez, Sheila; Boyce, Jared; Shaver, Debra – Regional Educational Laboratory Northeast & Islands, 2020
This toolkit is designed to help school- and district-based practitioners engage in a continuous improvement effort. It provides an overview of continuous improvement and focuses on the Plan-Do-Study-Act cycle. It includes tools and resources that practitioners can use to implement a continuous improvement effort in their own schools, districts,…
Descriptors: Educational Improvement, Planning, Readiness, Teamwork
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
Davis, Leanne; Pocai, Jennifer; Santos, Janiel – Institute for Higher Education Policy, 2022
There are at least 39 million Americans who have attended college but needed to stop out before earning a degree. The "Degree Reclamation Playbook" supports practitioners seeking to reengage this population, capture the momentum of existing credits, and bring students across the degree finish line. Drawing on more than a decade of work,…
Descriptors: Stopouts, Educational Attainment, Adult Students, Reverse Transfer Students
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
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
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Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning
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Rebecca Wolf; Joseph M. Reilly; Steven M. Ross – Journal of Research in Innovative Teaching & Learning, 2021
Purpose: This article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for…
Descriptors: Data Use, Decision Making, Teacher Attitudes, Journal Articles
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