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Quimby, Barbara; Beresford, Melissa – Field Methods, 2023
Participatory modeling (PM) is an engaged research methodology for creating analog or computer-based models of complex systems, such as socio-environmental systems. Used across a range of fields, PM centers stakeholder knowledge and participation to create more internally valid models that can inform policy and increase engagement and trust…
Descriptors: Research Methodology, Models, Stakeholders, World Views
Hutt, Stephen; Das, Sanchari; Baker, Ryan S. – International Educational Data Mining Society, 2023
The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…
Descriptors: Data Analysis, Decision Making, Data Collection, Foreign Countries
Roger Pizarro Milian; Dylan Reynolds; Naleni Jacob; Firrisaa Abdulkarim; Gillian Parekh; Robert Brown; David Walters – Journal of Further and Higher Education, 2024
Post-secondary education (PSE) experienced explosive growth and diversification over the past century, affording students a range of increasingly complex pathways that they can travel to acquire a credential. In various jurisdictions, governments have made significant investments to facilitate student uptake of unconventional transfer pathways…
Descriptors: Postsecondary Education, Salary Wage Differentials, Graduates, Foreign Countries
Wicks, Anne; Taylor-Raymond, Justine – George W. Bush Institute, Education Reform Initiative, 2021
Determining whether a state's young people are on track for a life with opportunity is a critical -- but diffcult -- task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Longitudinal Studies
Dong, Tianxi; Triche, Jason – Journal of Information Systems Education, 2020
The explosive growth of the data analytics field has continued over the past decade with no signs of slowing down. Given the fast pace of technology changes and the need for IT professionals to constantly keep up with the field, it is important to analyze the job skills and knowledge required in the data analyst and business intelligence (BI)…
Descriptors: Job Skills, Data Analysis, Information Technology, Job Applicants
State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
Anne Wicks; Amanda Wirtz – George W. Bush Institute, 2024
Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems
Meyer, Helen – Education Sciences, 2018
In this paper, I share the results of a study of teachers' ideas about student decision-making at entry into a professional development program to integrate engineering into their instruction. The framework for the Engineering Design Process (EDP) was based on a Challenge-Based Learning (CBL) model. The EDP embedded within the CBL model suggests…
Descriptors: Teacher Attitudes, Decision Making, Decision Making Skills, Engineering Education
Moore, Colleen; Bracco, Kathy Reeves – Education Insights Center, 2018
California's education data, at least as they currently are collected, managed, and made available, are not sufficient for understanding and addressing the needs of California's students. That's the conclusion of the first three reports in the series "California Education Policy, Student Data, and the Quest to Improve Student Progress,"…
Descriptors: Information Needs, Longitudinal Studies, Educational Policy, Educational Improvement
Galbraith, Craig S.; Merrill, Gregory B. – Journal of Further and Higher Education, 2015
We examine the impact of university student burnout on academic achievement. With a longitudinal sample of working undergraduate university business and economics students, we use a two-step analytical process to estimate the efficient frontiers of student productivity given inputs of labour and capital and then analyse the potential determinants…
Descriptors: Burnout, Academic Achievement, Undergraduate Students, Student Employment
Okilwa, Nathern; Barnett, Bruce – Journal of Educational Administration, 2017
Purpose: The purpose of this paper is to examine how Robbins ES has sustained high academic performance over almost 20 years despite several changes in principals. Design/methodology/approach: The paper analyzed longitudinal data based on: state-level academic and demographic data; two earlier studies of the school; and recent interviews with…
Descriptors: Longitudinal Studies, Elementary Schools, Disadvantaged Schools, Urban Schools
National Center for Education Statistics, 2015
As state and local education agencies increasingly focus on serving educators with their data systems, a common challenge has arisen: identifying the critical knowledge, skills, and behaviors needed by teachers and administrators to use data effectively. Many states are creating data literacy and data use training programs for pre- and in-service…
Descriptors: Data Use, Longitudinal Studies, Standards, Information Literacy
Durán, Lillian K.; Wackerle-Hollman, Alisha K.; Kohlmeier, Theresa L.; Brunner, Stephanie K.; Palma, Jose; Callard, Chase H. – Grantee Submission, 2019
The population of Spanish-speaking preschoolers in the United States continues to increase and there is a significant need to develop psychometrically sound early language and literacy screening measures to accurately capture children's ability in Spanish. In this paper, we describe the innovative design and calibration process of the new…
Descriptors: Spanish Speaking, Preschool Children, Psychometrics, Screening Tests
Wilhelm, Anne Garrison; Chen, I-Chien; Smith, Thomas M.; Frank, Kenneth A. – American Educational Research Journal, 2016
Given prior research indicating that teachers can learn through their social network interactions with colleagues, it is important to understand more about the choices teachers make about whom to go to for advice. In this study, we investigated the degree to which middle school mathematics teachers change from whom they seek advice when…
Descriptors: Expertise, Middle School Teachers, Mathematics Teachers, Mathematics Instruction
Butt, L.; More, E.; Avery, G. C. – Studies in Higher Education, 2014
The paper questions the prevalence of "green students" and their impact on decision-making in sustainability programmes in Australian universities. While the universities studied provide numerous opportunities for student involvement in sustainability programmes, comparatively few students actually become involved, making student impact…
Descriptors: Foreign Countries, Student Participation, Sustainability, Environmental Education
Schaffhauser, Dian – T.H.E. Journal, 2011
It's not exactly a well-kept secret: Despite the drumbeat for data that has echoed through the jungles of education for over a decade, its nuanced use to make decisions for students is rare. And even though state and national longitudinal data initiatives from the US Department of Education (ED) have increased the pressure, relatively few schools…
Descriptors: School Districts, Educational Improvement, Decision Making, Data Analysis
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