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Showing 1 to 15 of 18 results Save | Export
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Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
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Karen Salvador; Erika J Knapp; Whitney Mayo – International Journal of Music Education, 2024
Mission-driven nonprofit organizations sometimes struggle within a cycle of disempowerment resulting from oversaturation of data collection that is reactive to funder demands. In this article, we problematize Community Music School (CMS) data-collection and analysis efforts and discuss alternate approaches to learning about family and community…
Descriptors: Community Schools, Music Education, Community Involvement, Student Empowerment
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Swinton, Jonathan J.; Killian, Tasha; Wray, Paige – Journal of Extension, 2020
When completing a needs assessment, Extension professionals should include both objective county data and stakeholder input data. Specifically, Extension professionals should identify potential areas of need, source available objective data, source data from relevant county stakeholders, and analyze similarities and differences in objective and…
Descriptors: Needs Assessment, Rural Areas, Extension Agents, Data Analysis
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Marcelino-Jesus, Elsa; Artifice, Andreia; Sarraipa, Joao; McManus, Gary; Luis-Ferreira, Fernando – International Association for Development of the Information Society, 2018
The deployment of enhanced frameworks or systems is a new business paradigm and implies significant change in behavior, process and tools within enterprises. This transformation requires efficient training of the different actors involved (managers, technicians, etc.), so that they are made fully aware of the tools and methodologies envisaged. The…
Descriptors: Training, Agricultural Education, Technology Transfer, Stakeholders
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Leahy, Margaret; Davis, Niki; Lewin, Cathy; Charania, Amina; Nordin, Hasniza; Orlic, Davor; Butler, Deirdre; Lopez-Fernadez, Olatz – Educational Technology & Society, 2016
This exploratory analysis of smart partnerships identifies the risk of increasing the digital divide with the deployment of data analytics. Smart partnerships in education appear to include a process of evolution into a synergy of strategic and holistic approaches that enhance the quality of education with digital technologies, harnessing ICT…
Descriptors: Educational Technology, Partnerships in Education, Equal Education, Access to Computers
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Avella, John T.; Kebritchi, Mansureh; Nunn, Sandra G.; Kanai, Therese – Online Learning, 2016
Higher education for the 21st century continues to promote discoveries in the field through learning analytics (LA). The problem is that the rapid embrace of of LA diverts educators' attention from clearly identifying requirements and implications of using LA in higher education. LA is a promising emerging field, yet higher education stakeholders…
Descriptors: Higher Education, Literature Reviews, Data Collection, Data Analysis
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Marsden, Terry – Journal of Rural Studies, 2013
The paper critically assesses the more turbulent period in agri-food since 2007- by applying a transitions perspective to a range of empirical data collected from key private and public stakeholders in the UK during that period. It argues that increased volatility and a series of interdependent landscape pressures on the dominant agri-food regime…
Descriptors: Foreign Countries, Rural Development, Rural Economics, Agribusiness
Data Quality Campaign, 2014
Data are more than just test scores, and by effectively accessing and using different types of data--such as attendance, grades, and course-taking--teachers, parents, and school and district leaders can help ensure that every student is on a path for success every day, not just at the end of the school year. The 10 State Actions to Ensure…
Descriptors: Data, Data Collection, Information Utilization, Educational Policy
Data Quality Campaign, 2012
States are making progress in supporting effective data use, but the hardest work remains. Although states collect quality data and have enacted policy changes, they have not yet focused on meeting people's needs. This report includes the following: (1) 10 State Actions; (2) Key Findings: Data for Action 2012; (3) States Are Making Progress, but…
Descriptors: Data Collection, Data Analysis, State Departments of Education, Evaluation Utilization
Data Quality Campaign, 2014
High school feedback reports let school and district leaders know where their students go after graduation and how well they are prepared for college and beyond. This roadmap discusses the seven key focus areas the Data Quality Campaign (DQC) recommends states work on to ensure quality implementation of high school feedback reports.
Descriptors: High School Graduates, Postsecondary Education, Outcomes of Education, Feedback (Response)
NGA Center for Best Practices, 2012
In fewer than 10 years, states and districts have taken bold steps to build and improve systems that collect data about students, staffing and expenditures, but the data do not often provide adequate information to guide policy and practice. Increasing amounts of data are now available to parents, educators, researchers and policymakers. However,…
Descriptors: Expenditures, Data Collection, Individualized Instruction, Educational Policy
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Cunningham, A. J. C. – Research in Comparative and International Education, 2012
In 2003, UNICEF-Kenya and the Kenyan Ministry of Education introduced the "Child Friendly Schools" initiative to encourage educational policy makers and practitioners to look for alternative ways to measure the quality of primary schools beyond pupils' test scores. In 2009, Kenyan government officials distributed the Child Friendly…
Descriptors: Educational Policy, Stakeholders, Educational Quality, Elementary Schools
Mandinach, Ellen B.; Gummer, Edith S. – WestEd, 2012
There's much talk about using data to inform education decision-making, both in and beyond the classroom. This paper examines the landscape of data literacy, based on a meeting in May 2012 which brought together the foremost researchers and professional development providers in the field of data-driven decision-making in education. The meeting…
Descriptors: Information Literacy, Data Analysis, Faculty Development, Data
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Young, Michael; Denny, George; Donnelly, Joseph – Journal of School Health, 2012
Background: Those involved in school health education programs generally believe that health-education programs can play an important role in helping young people make positive health decisions. Thus, it is to document the effects of such programs through rigorous evaluations published in peer-reviewed journals. Methods: This paper helps the…
Descriptors: Health Education, Health Programs, Program Evaluation, Curriculum Evaluation
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Greller, Wolfgang; Drachsler, Hendrik – Educational Technology & Society, 2012
With the increase in available educational data, it is expected that Learning Analytics will become a powerful means to inform and support learners, teachers and their institutions in better understanding and predicting personal learning needs and performance. However, the processes and requirements behind the beneficial application of Learning…
Descriptors: Foreign Countries, Computer Uses in Education, Ethics, Best Practices
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