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Early Childhood Data Collaborative, 2018
Many states are building systems and structures to integrate their early care and education data. Combining data from different programs and agencies that serve young children allows policymakers and program decision makers to better answer critical questions about the needs of families in their communities, as well as questions about services and…
Descriptors: Early Childhood Education, Young Children, Early Intervention, Participation
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Warner, Jared – PRIMUS, 2019
We describe a semester-long project for an introductory statistics class that studies the broken windows theory of policing and the related issues of race, policing, and criminal justice. The most impactful feature of the project is the data-collection phase, in which students attend and observe a public arraignment court session. This "Court…
Descriptors: Police, Race, Correctional Rehabilitation, Statistics
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Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
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Usher, Maya; Hershkovitz, Arnon – Online Learning, 2023
The impact of the COVID-19 pandemic on the higher education sector has been overwhelming, with emergency responses that have affected decision-making processes. Yet, our understanding of higher education instructors' perspectives regarding the process of data-driven decisions, especially in times of emergency, is still limited. We aimed at…
Descriptors: Higher Education, COVID-19, Pandemics, Decision Making
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Cordova, Adriana; Lahey, Joanna; Taghiyeva, Lala – Teaching Public Administration, 2023
This article outlines how Master of Public Administration (MPA)/Master of Public Policy (MPP) programs can integrate a project-based learning opportunity to study curricular design and accreditation needs in their quantitative courses. Bridging together theory and the practical implications of data collection and analysis is important for…
Descriptors: Program Implementation, Active Learning, Student Projects, Curriculum Design
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Prevodnik, Katja; Vehovar, Vasja – Sociological Methods & Research, 2023
When comparing social science phenomena through a time perspective, absolute and relative difference (RD) are the two typical presentation formats used to communicate interpretations to the audience, while time distance (TD) is the least frequently used of such formats. This article argues that the chosen presentation format is extremely important…
Descriptors: Comparative Analysis, Social Science Research, Public Agencies, College Faculty
Malliron Hodge; Zohal Shah; Marika Patterson; Christina Luke Luna – Digital Promise, 2023
This report represents another installment in our Learning and Employment Records (LERs) series, where we explored the unique challenges and opportunities that learners encounter when familiarizing themselves with LER technology. As the paradigm shifts towards skills-based hiring and career advancement gains momentum, it becomes imperative for…
Descriptors: Adult Learning, Information Storage, Records (Forms), Electronic Publishing
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Muhammet Mustafa Alpaslan; Bugrahan Yalvac – Journal of Problem Based Learning in Higher Education, 2023
Climate change put most species' survival in danger because it substantially affects the climate in which the species live, the quality of the water they drink, as well as the temperature of the air or water. When climate change increases the temperature of the climate, excessive evaporation occurs in lands, lakes, seas, and oceans. Our purpose in…
Descriptors: Problem Based Learning, Teaching Methods, Mathematics Instruction, Mathematical Models
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Ann Owens; Peter Rich – RSF: The Russell Sage Foundation Journal of the Social Sciences, 2023
Suburbs were once a haven for advantaged, White families to avoid city life and access high-status schools. This urban-suburban divide, however, has changed in recent decades as suburban communities (and their school districts) have diversified. This study provides an updated cross-sectional portrait of recent racial-ethnic segregation and…
Descriptors: Ethnic Groups, Equal Education, Urban Areas, Suburbs
Haigen Huang; Crystal Wang – Online Submission, 2023
In 2022-23, Round Rock Independent School District in Texas rebranded the Response to Intervention (RTI) as Multi-tiered Support System (MTSS). The purpose of this report is to assess the effect of MTSS on staff data literacy, MTSS implementation, and elementary school student achievement. We used a mixed-method approach, including analysis of…
Descriptors: Language Arts, Academic Achievement, Elementary School Students, Multi Tiered Systems of Support
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Stephen G. Katsinas; Noel E. Keeney; Nathaniel J. Bray; Patrick J. Kelly – Journal of Education Finance, 2023
This article analyzes U.S. Department of Education data on appropriations on Pell Grants using the new Mission-Driven Classification (MDC) to disaggregate enrollment, finance, and need-based Pell Grant data by major public higher education sector and, within community colleges, by geography (rural, suburban, and urban) as well as by the presence…
Descriptors: Community Colleges, Federal Aid, Grants, Data Analysis
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Newman, Daniel S.; Clare, Mary M. – Contemporary School Psychology, 2016
The purpose of this article is to explore the application of qualitative research to establishing a more complete understanding of relational processes inherent in school psychology practice. We identify the building blocks of rigorous qualitative research design through a conceptual overview of qualitative paradigms, methodologies, methods (i.e.,…
Descriptors: School Psychology, Qualitative Research, Research Design, Data Analysis
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Daniels, Deidre; McBrayer, Juliann Sergi; Griffin, Marlynn; Norman, Taylor; Pannell, Summer; Fallon, Katherine – Journal of Online Learning Research, 2021
Nearly half of new teachers leave the profession within five years of employment, and most would not recommend teaching as a profession. A shortage of highly effective teachers continues in public schools across the nation; hence, meaningful professional development needs to be implemented to adequately prepare and retain teachers for the…
Descriptors: Teacher Competencies, Teacher Effectiveness, Teacher Attitudes, Administrator Attitudes
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