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McDonald, Joseph P. – Phi Delta Kappan, 2019
Joseph P. McDonald reports findings from a study of nine poverty-impacted schools in New York City striving to more effectively use student performance data in teaching. The study was one of 13 studies of data use at the classroom level across the United States funded by the Spencer Foundation -- an effort intended to fill a serious gap in…
Descriptors: Data, Information Utilization, Urban Schools, Academic Achievement
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Lougheed, Jessica P.; Benson, Lizbeth; Cole, Pamela M.; Ram, Nilam – Developmental Psychology, 2019
The timing of events (e.g., how long it takes a child to exhibit a particular behavior) is often of interest in developmental science. Multilevel survival analysis (MSA) is useful for examining behavioral timing in observational studies (i.e., video recordings) of children's behavior. We illustrate how MSA can be used to answer 2 types of research…
Descriptors: Time, Child Behavior, Psychological Patterns, Data Analysis
Nowicki, Jacqueline M. – US Government Accountability Office, 2019
As the Government Accountability Office (GAO) reported in February 2019, the Department of Education's (Education) data suggest that the restraint and seclusion of K-12 public school students is rare nationwide, though it disproportionately affects students with disabilities and boys in general. In broad terms, Education defines restraint as…
Descriptors: Elementary Secondary Education, Public Schools, Discipline, Punishment
Public School Forum of North Carolina, 2019
Each year, policymakers, educators, and the general public engage in debates around the statewide average teacher pay figure that the North Carolina Department of Public Instruction (DPI) publishes on its website and reports to the National Education Association. These debates take up the important consideration of whether or not teachers are…
Descriptors: Teacher Salaries, Data Analysis, School Districts, Poverty
Fesler, Lily; Dee, Thomas; Baker, Rachel; Evans, Brent – Stanford Center for Education Policy Analysis, 2019
Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this paper, we review the recent automated text methods relevant to educational…
Descriptors: Educational Research, Data Analysis, Automation, Methods
Liberatore, Matthew T. – ProQuest LLC, 2019
Through a basic qualitative approach this study examined the perceptions of high school counselors use of district-embedded Early Warning Systems (EWS) to increase efficiency and understanding of their caseload. In the past, studies have only examined implementation of EWS and the various indicators within an EWS, but most have not explored…
Descriptors: Identification, High Schools, School Counselors, School Counseling
Greenberg, Erica; Blagg, Kristin; Rainer, Macy – Urban Institute, 2019
Since 2010, the Community Eligibility Provision (CEP) has expanded access to free school meals while jeopardizing a key measure of student poverty used across the field of education: free and reduced-price lunch (FRPL) status. States and school districts are pioneering alternative measures of student poverty, which vary in their composition and…
Descriptors: Poverty, Measurement Techniques, Accuracy, Accountability
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Erbas, Cagdas; Atherton, Stephen – Journal of Learning and Teaching in Digital Age, 2020
Augmented reality is one of the state-of-the-art technologies, which is utilised for educational purposes, in a wide variety of fields. Each year the frequency of academic publications on augmented reality use in education has increased. This study aims to study content analysis of augmented reality studies, used for educational purposes,…
Descriptors: Content Analysis, Computer Simulation, Educational Technology, Literature Reviews
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Walters, Courtney E.; Nitin, Rachana; Margulis, Katherine; Boorom, Olivia; Gustavson, Daniel E.; Bush, Catherine T.; Davis, Lea K.; Below, Jennifer E.; Cox, Nancy J.; Camarata, Stephen M.; Gordon, Reyna L. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Data mining algorithms using electronic health records (EHRs) are useful in large-scale population-wide studies to classify etiology and comorbidities (Casey et al., 2016). Here, we apply this approach to developmental language disorder (DLD), a prevalent communication disorder whose risk factors and epidemiology remain largely…
Descriptors: Language Impairments, Developmental Disabilities, Automation, Disability Identification
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Qian, Jiahe – ETS Research Report Series, 2020
The finite population correction (FPC) factor is often used to adjust variance estimators for survey data sampled from a finite population without replacement. As a replicated resampling approach, the jackknife approach is usually implemented without the FPC factor incorporated in its variance estimates. A paradigm is proposed to compare the…
Descriptors: Computation, Sampling, Data, Statistical Analysis
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Curtin, Susan; DeJong, David; Robinson, Derrick; Card, Karen; Campoli, Ayana – Voices of Reform, 2020
This study explores the methodology presented in four leading educational leadership journals for a period of three years to investigate the predominant methodologies reported in journals most read by faculty members in educational administration or leadership programs. This content analysis study uses frequency and percentages to gather data on…
Descriptors: Research Methodology, Periodicals, Educational Administration, Journal Articles
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Adnan, Muhamad Hariz Muhamad; Ariffin, Shamsul Arrieya; Hanafi, Hafizul Fahri; Husain, Mohd Shahid; Panessai, Ismail Yusuf – Asian Journal of University Education, 2020
Recently, the promotion of science, technology, engineering and mathematics (STEM) education has become the highlight due to the shortage in the STEM workforce. Surprisingly, the enrolment rates in STEM degrees are still low in many countries. Social media has been identified as one of the main platforms that can help to increase prospective…
Descriptors: Social Media, College Bound Students, STEM Education, Vocational Education
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Yildiz, Muhammed Berke; Börekci, Caner – Journal of Educational Technology and Online Learning, 2020
Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…
Descriptors: Grade Prediction, Academic Achievement, Artificial Intelligence, Grade 9
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Smith, Kristen L.; Finney, Sara J. – Research & Practice in Assessment, 2020
Higher education institutions struggle to demonstrate learning improvement (Banta, Jones, & Black, 2009; Banta & Blaich, 2011; Jankowski, Timmer, Kinzie, & Kuh, 2018). We showcase how student learning outcomes assessment processes can benefit from strong program theory and implementation fidelity data. In our example, faculty…
Descriptors: Higher Education, College Outcomes Assessment, Fidelity, Program Implementation
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Dyson, Lisa – Assessment Matters, 2020
Secondary schools in New Zealand use assessment data for school self-evaluation, but little research has explored exactly how schools are using these data. This case study of selected high schools explored the perspectives of teachers and school leaders whose schools had recently implemented a student assessment tracking and monitoring…
Descriptors: Data Use, Foreign Countries, High School Teachers, Teacher Attitudes
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