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Eunice Sookyung Han; Emma Garcia – American Journal of Education, 2024
Purpose: The unanticipated changes in state legislation in Idaho, Indiana, Michigan, Tennessee, and Wisconsin in 2011-12 significantly restricted or entirely prohibited the collective bargaining rights of teachers. Considering these institutional changes as a natural experiment, we examine the causal impact of weakening teacher unionization on…
Descriptors: Collective Bargaining, Teacher Rights, State Legislation, Workers Compensation
Bret Bailey – ProQuest LLC, 2024
The purpose of this quantitative study was to provide school district leaders and policymakers information of the impact grade configuration had on academic performance using math and ELA ILEARN scores over a three-year period. The study included data from 585 schools that were classified into four groups: Elementary Setting, Intermediate Setting,…
Descriptors: Academic Achievement, Grade 6, Data, Mathematics
Nathan Jones; Lindsey Kaler; Jessica Markham; Josefina Senese; Marcus A. Winters – Educational Researcher, 2025
Students with and without disabilities may be educated across various service delivery models (SDMs): general education, cotaught, pull-out, and self-contained. Still, evidence for their relative effectiveness at scale remains limited. Using longitudinal administrative data from Indiana, we measured the effect of different SDMs on test scores,…
Descriptors: Students with Disabilities, Teaching Methods, Students, Instructional Effectiveness
Gregg, Andrea; Wilson, Brent G.; Parrish, Patrick – IDEA Center, Inc., 2018
The field of learning analytics holds considerable promise for higher education, with reports of successful uses now emerging in selected institutions. At the same time, critics have expressed concerns regarding privacy, ethics, and intrusions into teachers' pedagogy. Without attentive planning, higher-education professionals applying learning…
Descriptors: Data Analysis, Higher Education, Vendors, Academic Achievement
NWEA, 2018
When Superintendent Curtis Craig, Ed.S., came to the Rensselaer Central Schools Corporation in 2015, he discovered an assessment problem common to many districts. The assessment results--Renaissance STAR and Acuity at the time--were not well aligned to the new, more rigorous standards the district and state had recently adopted. In addition, some…
Descriptors: Alignment (Education), Student Evaluation, Academic Standards, School Districts
National Forum on Education Statistics, 2022
Digital inequity has been a long-standing issue in the education community. A lack of home internet and technology devices can not only hinder students' ability to access educational resources at home, but can also have a detrimental effect on student achievement. Education agencies have taken steps over the past decades to address digital…
Descriptors: Access to Computers, Technology Uses in Education, Educational Technology, Internet
Tisha L. N. Emerson; KimMarie McGoldrick – Journal of Economic Education, 2024
Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…
Descriptors: Microeconomics, Student Attrition, Withdrawal (Education), Academic Persistence
Pouchard, Line; Bracke, Marianne Stowell – Issues in Science and Technology Librarianship, 2016
This paper describes a survey of data practices given to the Purdue College of Agriculture. Data practices are a concern for many researchers with new governmental funding mandates that require data management plans, and for the institution providing resources to comply with these mandates. The survey attempted to answer these questions: What are…
Descriptors: Agricultural Education, Case Studies, Data Processing, Data
Halpern, Arthur M.; Frye, Stephen L.; Marzzacco, Charles J. – Journal of Chemical Education, 2018
Scientific Data Analysis Toolkit (SDAT) is a rigorous, versatile, and user-friendly data analysis add-in application for Microsoft Excel for Windows (PC). SDAT uses the familiar Excel environment to carry out most of the analytical tasks used in data analysis. It has been designed for student use in manipulating and analyzing data encountered in…
Descriptors: Science Activities, Data Analysis, Spreadsheets, Computer Oriented Programs
Gundlach, Ellen; Ward, Mark Daniel – Journal of Statistics and Data Science Education, 2021
In this article, we describe a large-scale living learning community (LLC) for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide explanations of why an LLC is beneficial; the…
Descriptors: Statistics Education, Curriculum Development, Teaching Methods, Data Analysis
Willis, James E.; Slade, Sharon; Prinsloo, Paul – Educational Technology Research and Development, 2016
The growth of learning analytics as a means to improve student learning outcomes means that student data is being collected, analyzed, and applied in previously unforeseen ways. As the use of this data continues to shape academic and support interventions, there is increasing need for ethical reflection on "operational" approvals for…
Descriptors: Data Collection, Data Analysis, Educational Research, Ethics
Kuhn, Jonathan R.; Marsh, Shawn C.; Cotman, Chip – Child & Youth Care Forum, 2017
Background: Both observed studies and experimental studies have identified programs, practices, and treatments that are considered effective, ineffective, or harmful for juvenile offenders. Objective: Identify which dispositions were best and worse for each offense in the La Porte County, Indiana, juvenile justice database of over 8500 juvenile…
Descriptors: Juvenile Justice, Data Analysis, Outcomes of Treatment, Recidivism
Data Quality Campaign, 2018
Alignment between K-12 education and the workforce is critical because jobs are changing. Students must be prepared not only for the jobs of today but also for the jobs of the future. Securely linking data between state K-12 and workforce data systems can create a bridge between these agencies as they develop shared career readiness goals for…
Descriptors: Alignment (Education), Elementary Secondary Education, Labor Force, Education Work Relationship
Kong, Ningning; Fosmire, Michael; Branch, Benjamin Dewayne – College & Research Libraries, 2017
In the academic libraries' efforts to support digital humanities and social science, GIS service plays an important role. However, there is no general service model existing about how libraries can develop GIS services to best engage with digital humanities and social science. In this study, we adopted the action research method to develop and…
Descriptors: Action Research, Library Development, Geographic Information Systems, Academic Libraries
Thompson, Hilary H.; Smith, Austin; Ostos, Manuel; Gardinier, Lisa – College & Research Libraries, 2019
Inspired by the 2017 Big Ten Academic Alliance Library Conference's collective collection theme, the authors undertook a study to better understand the consortium's resource-sharing needs for Spanish and Portuguese materials published in Latin America. The authors employed multiple technologies to expedite gathering, reconciling, and analyzing…
Descriptors: Academic Libraries, Consortia, Library Materials, Library Services