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Eric Richardson; Jean Gordon; Richard Ginnetti; Rachel Carroll; Randyl Cochran; Laura Morris; Valerena Candy; Margaret Brown – Journal of Education Human Resources, 2025
Beyond informing human resources (HR) policies and practices, information gleaned from predictive analytics, visualized via dashboards, can increase awareness and prompt employee and management actions based on identified variables often related to intent to leave and employee wellness. While considerable research, relevant measurements, and tools…
Descriptors: Higher Education, Employee Attitudes, Labor Turnover, Occupational Mobility
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Sekerci, Reyhan; Karatas, Süleyman; Güven, Beyhan; Demir, Levent; Güven, Alper – International Journal of Educational Administration and Policy Studies, 2021
Data mining in education predictions are made about other groups based on the big data of education. However, the extent to which training data can be accessed is relative. A group that can be described as missing data is children living or working on the street. For this reason this study aimed to deal with children working or living on the…
Descriptors: Data Analysis, Homeless People, Children, Social Problems
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Watkins, Karen E.; Ellinger, Andrea D.; Suh, Boyung; Brenes-Dawsey, Joseph C.; Oliver, Lisa C. – European Journal of Training and Development, 2022
Purpose: The critical incident technique (CIT) is widely used in many disciplines; however, scholars have acknowledged challenges associated with analyzing qualitative data when using this technique. Therefore, the purpose of this article is to address the data analysis issues that have been raised by introducing some different contemporary ways…
Descriptors: Critical Incidents Method, Data Analysis, Doctoral Dissertations, Labor Force Development
Smillie, Siri – Education Commission of the States, 2021
State policymakers recognize the economic imperative to ensure that education and training are connected to good jobs. Employers are seeking -- and are often struggling -- to hire appropriately skilled workers. For job seekers, the path to a good job with education beyond a high school diploma is certainly clearer than one without postsecondary…
Descriptors: Education Work Relationship, State Policy, Educational Policy, Policy Formation
Data Quality Campaign, 2023
Each year, state legislators introduce hundreds of bills that generate new data collections, analyses, and resources, playing a crucial role in how people access and use data. Notably, in 2023 legislators introduced and enacted bills governing cross-agency data systems--the most important step that states must take to make robust access to data…
Descriptors: Educational Legislation, Data Analysis, Data Collection, Access to Information
Julius, Jenna; Hillary, Jude; Faulkner-Ellis, Henry – National Foundation for Educational Research, 2022
This technical report provides an overview of the datasets and methodology used in the main report, "Investigating the Potential Use of Long-Term School and College Destination Measures. Final Report" (see ED619071). The purpose of the main report is to investigate the potential for using Department for Education's (DfE's) Longitudinal…
Descriptors: Labor Market, Outcomes of Education, Young Adults, Foreign Countries
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Croushore, Dean; Kazemi, Hossein S. – Journal of Economic Education, 2019
In this article, the authors illustrate the use of Bloomberg for analyzing topics in macroeconomics and monetary policy in economics and finance courses. The hands-on experience that students gain from such a course has many benefits, including deeper learning and clearer understanding of data. The authors describe goals and learning objectives,…
Descriptors: Economics Education, Macroeconomics, Financial Policy, Experiential Learning
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Rubleske, Joseph; Fletcher, Travis; Westerfeld, Brett – Journal of Instructional Pedagogies, 2020
Electronic sports (e-sports) can be defined as digital games played competitively for an audience (Hodge et al., 2017). With a global consumer base of roughly 450 million people and projected 2019 revenues of US$1.1 billion, the e-sports industry continues to grow (Pannekeet, 2019). Behind this growth is a thriving ecosystem which includes…
Descriptors: Computer Games, Athletics, Data Collection, Data Analysis
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Perrone, Frank; Young, Michelle D.; Fuller, Edward J. – Educational Researcher, 2022
In this policy forum commentary, we call for improved national and state-level data collection and access relevant to the principal pipeline. We focus specifically on how access to quality data can inform, has informed, and is critical to policy and practice across three segments of the principal pipeline--principal preparation, licensure, and…
Descriptors: Principals, Administrator Education, Educational Policy, Educational Legislation
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Mew, Lionel – Information Systems Education Journal, 2020
This paper discusses Implementation of a new educational approach to develop competencies for the future STEM workforce, and to build knowledge on success factors for educating a non-traditional target population in data competencies. It is widely accepted that a data capable workforce is critical to science and industry. The literature suggests…
Descriptors: Program Design, Undergraduate Students, Nontraditional Students, Data Analysis
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Master, Benjamin; Sun, Min; Loeb, Susanna – Education Finance and Policy, 2018
Policy makers and school leaders are perennially concerned with the capacity of the nation's public schools to recruit and retain highly skilled teachers. Over the past two decades, policy strategies including the federal No Child Left Behind Act and alternative pathways to teaching, as well as changes in the broader labor market, have altered the…
Descriptors: Job Satisfaction, Diversity (Faculty), Teacher Recruitment, Beginning Teachers
McKay, Heather; Haviland, Sara; Michael, Suzanne – Western Interstate Commission for Higher Education, 2020
The Multistate Longitudinal Data Exchange (MLDE) facilitates data sharing between states from K-12 education, higher education, and labor agencies. Its goal is to provide practitioners, policymakers, and researchers with a comprehensive data source to understand educational and career trajectories, including how these trajectories can cross state…
Descriptors: Trust (Psychology), Longitudinal Studies, State Universities, State Agencies
US Department of Education, 2020
The U.S. Department of Education's (Department) mission is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access. The Department pursues its mission by establishing policies and distributing corresponding funds, focusing national attention on key educational issues,…
Descriptors: Public Agencies, Institutional Mission, Academic Achievement, Educational Policy
Lee, Patrick; Reed, Sherrie; Hernandez, Ambar; Kurlaender, Michal – Policy Analysis for California Education, PACE, 2018
This Intersegmental Data Partnerships Resource Guide, and the accompanying PACE policy brief (see ED591080), are products of a year-long qualitative research project exploring promising practices in data sharing and data use among intersegmental partnerships throughout California. This Resource Guide provides institutions engaged in intersegmental…
Descriptors: Partnerships in Education, Guides, Guidelines, Data Analysis
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National Center for Education Statistics, 2018
State and local education agencies across the country face challenges related to understanding and managing their teaching staff to best help students learn. Statewide longitudinal data systems (SLDSs) offer valuable information about teacher labor markets that can be used to analyze supply and demand, inform budget and staffing decisions, and…
Descriptors: Unions, Labor Market, Teachers, Data Collection
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