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Amy Shelton; Collin Hitt – Journal of School Choice, 2024
There are over one million school-age children in Missouri, and we estimate 61,000 (6% of all school-age children) are homeschooled. Missouri is one of 29 states that does not require homeschooling to be reported. Using methods that can be replicated elsewhere with publicly available data, we test three approaches to estimating homeschool…
Descriptors: Home Schooling, Attendance, Data Collection, School Statistics
Hemy Ramiel; Eran Fisher – Learning, Media and Technology, 2024
This paper adds an algorithmic epistemology perspective to previous works that examine the datafication of subjective social and emotional characteristics, perceptions, and behaviours. The paper employs a comparative epistemological approach to explore two behavioural educational platforms: RedCritter Teacher and Panorama Education. We unpack…
Descriptors: Epistemology, Social Emotional Learning, Data, Higher Education
Myers, Carrie B.; Myers, Scott M. – Research & Practice in Assessment, 2017
Previous studies have found that freshmen who enter college with dual enrollment credits earned during high school have higher 6-year graduation rates. Yet, we do not know if institutional graduation rates benefit in the aggregate from their practice of accepting dual enrollment credits among incoming freshman cohorts. In this study, we used…
Descriptors: Undergraduate Students, College Graduates, Graduation Rate, Dual Enrollment
Creating an Ofsted Story: The Role of Early Years Assessment Data in Schools' Narratives of Progress
Bradbury, Alice; Roberts-Holmes, Guy – British Journal of Sociology of Education, 2017
This paper explores the growing importance of measures of progress in judgements of schools' effectiveness in England, with a focus on the role of the early years (settings for children aged 2-5) in providing data for these measures. Qualitative data from a research project involving three diverse school-based and pre-compulsory early years…
Descriptors: Foreign Countries, School Effectiveness, Outcome Measures, Early Childhood Education
Borden, Victor M. H.; Calderon, Angel; Fourie, Neels; Lepori, Benedetto; Bonaccorsi, Andrea – New Directions for Institutional Research, 2013
Efforts to develop common higher education data standards are expanding both within and across countries. The institutional research (IR) community plays a critical role in assuring that these efforts capture the diverse manifestations of the postsecondary and tertiary education systems and promote responsible comparisons. This chapter provides…
Descriptors: Higher Education, Institutional Research, Data Collection, School Statistics
Wang, Zhanjun; Qiao, Weifeng; Li, Jiangbo – Chinese Education & Society, 2016
Higher education monitoring evaluation is a process that uses modern information technology to continually collect and deeply analyze relevant data, visually present the state of higher education, and provide an objective basis for value judgments and scientific decision making by diverse bodies Higher education monitoring evaluation is…
Descriptors: Higher Education, Progress Monitoring, School Statistics, Academic Achievement
Kramer, Steven L.; Osgood, Jeffery; Bernotsky, Lorraine; Wolff, Edward; Merlino, F. Joseph; Garcia, Tanya I.; Kramer, Helen M. – Educational Policy, 2016
This article investigates the utility and availability of college data to evaluate the impact of high school interventions. It reports results of a pilot study that collected information about the college experiences of graduates from four high schools in the northeast United States. Using these results as a lens, the article examines what…
Descriptors: Federal Legislation, State Policy, College Readiness, Intervention
Gorlewski, Julie – English Journal, 2011
The word "data" connotes math, science, and technology: digits and quantifiable units. Data imply objectification--reducing ideas, and perhaps even students and teachers, to products that can be measured and compared. Ironically, however, this conception of data is itself reductive, and it minimizes the richness and potential of data.…
Descriptors: School Statistics, Data, Information Processing, Teaching (Occupation)
Baker, Ryan S. J. D.; Yacef, Kalina – Journal of Educational Data Mining, 2009
We review the history and current trends in the field of Educational Data Mining (EDM). We consider the methodological profile of research in the early years of EDM, compared to in 2008 and 2009, and discuss trends and shifts in the research conducted by this community. In particular, we discuss the increased emphasis on prediction, the emergence…
Descriptors: Trend Analysis, Educational History, Educational Research, Research Methodology
Dukes, Lavan; Croft, Edward – Education Statistics Quarterly, 2000
Discusses the greater need for education data brought about by the renewed emphasis on accountability in public education. "Projections of Education Statistics" features the kinds of information planners and policymakers will need for the future. Discusses shared responsibility for and benefits from high quality data at state and national levels.…
Descriptors: Accountability, Data Collection, Educational Research, Enrollment Projections
Peer reviewedCamilli, Gregory; Firestone, William A. – Educational Measurement: Issues and Practice, 1999
Examined the education indicators used in the "Quality Counts" report published by Editorial Projects in Education in 1998. Discusses the degree to which persuasive or normative uses stemmed from the value judgments being made on the basis of the indicator data. (SLD)
Descriptors: Data Collection, Educational Indicators, Elementary Secondary Education, Research Utilization
Peer reviewedBerne, Robert; And Others – Journal of Education Finance, 1997
Discusses implications for school finance data collection and analysis of shifting to schools as key management and policy units. Discusses questions that school-level data can answer concerning resource utilization efficiency, effectiveness, intent, and equity. Outlines conceptual issues (school definition and identification) and database…
Descriptors: Cost Effectiveness, Data Collection, Definitions, Educational Equity (Finance)
Peer reviewedCohen, Matthew C. – Journal of Education Finance, 1997
Examines pitfalls in analyzing school-level data, particularly expenditure data. Examples come from Ohio's experience with creating usable data structures for examining school-level information, aided by a statewide, complex, multipurpose Education Management Information System (EMIS). Since districts can choose different reporting software…
Descriptors: Data Collection, Educational Policy, Elementary Secondary Education, Expenditures
Peer reviewedPicus, Lawrence O. – Journal of Education Finance, 1997
Describes school-level K-12 revenue and expenditure data collection in California, Texas, Florida, and Minnesota. Neither California nor Minnesota collects school-site fiscal data. Florida's highly advanced district and school-level data collection system has inconsistently reported standardized test scores. Texas has developed a good database to…
Descriptors: Accountability, Data Collection, Educational Finance, Elementary Secondary Education
Peer reviewedMonk, David H. – Journal of Education Finance, 1997
Discusses school finance data needs, highlighting discrepancies between available data and emerging policy issues surrounding resource origination, disposition, and utilization; and data usage. Discusses some innovative data uses (allocating teachers' and students' time) in New York State and recommends ways to assure the alignment of collected…
Descriptors: Data Collection, Educational Finance, Educational Policy, Elementary Secondary Education
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