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Survey of Evidence in Education for Schools (SEE-S) Technical Report
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May, Henry; Blackman, Horatio; Van Horne, Sam; Tilley, Katherine; Farley-Ripple, Elizabeth N.; Shewchuk, Samantha; Agboh, Darren; Micklos, Deborah Amsden – Center for Research Use in Education, 2022
In this technical report, the Center for Research Use in Education (CRUE) presents the methodological design of a large-scale quantitative investigation of research use by school-based practitioners through the "Survey of Evidence in Education for Schools (SEE-S)." It documents the major technical aspects of the development of SEE-S,…
Descriptors: Surveys, Schools, Educational Research, Research Utilization
Data-Mining Techniques in Detecting Factors Linked to Academic Achievement
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Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Using Mobile Devices for Learning in Clinical Settings: A Mixed-Methods Study of Medical Student, Physician and Patient Perspectives
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Scott, Karen M.; Nerminathan, Arany; Alexander, Shirley; Phelps, Megan; Harrison, Amanda – British Journal of Educational Technology, 2017
This study was conducted with medical students, physicians, patients and carers in a paediatric and an adult hospital to determine use of mobile devices for learning, and beliefs and attitudes about others' use. Awareness of ethical, patient privacy and data security concerns was explored. The research was conducted using a mixed-methods…
Descriptors: Handheld Devices, Technology Uses in Education, Medical Education, Medical Students
Examining Data Driven Decision Making via Formative Assessment: A Confluence of Technology, Data Interpretation Heuristics and Curricular Policy
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Swan, Gerry; Mazur, Joan – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2011
Although the term data-driven decision making (DDDM) is relatively new (Moss, 2007), the underlying concept of DDDM is not. For example, the practices of formative assessment and computer-managed instruction have historically involved the use of student performance data to guide what happens next in the instructional sequence (Morrison, Kemp, &…
Descriptors: Knowledge Management, Preservice Teachers, Formative Evaluation, Heuristics
Structural Equation Modeling for High School Principals' Data-Driven Decision Making: An Analysis of Information Use Environments
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Luo, Mingchu – Educational Administration Quarterly, 2008
Background: Accountability demands are increasingly pushing school leaders to explore more data and do more sophisticated analyses. Data-driven decision making (DDDM) has become an emerging field of practice for school leadership and a central focus of education policy and practice. Purpose: This study examined principals' DDDM practices and…
Descriptors: Research Design, Structural Equation Models, Vision, Decision Making
Ontario Universities Statistical Compendium, 1970-90. Part A: Micro-Indicators.
Council of Ontario Universities, Toronto. Research Div. – 1991
This publication provides macro-indicators and complementary analyses and supporting data for use by policy and decision makers concerned with Ontario universities. These analytical tools are meant to unambiguously measure what is taking place in Canadian postsecondary education, and therefore, assist in focusing on what decisions need to be made.…
Descriptors: Data Interpretation, Decision Making, Educational Planning, Educational Policy
Management Information, 1986. Series: 1986-87. Report No. 17.
Sacramento City Unified School District, CA. – 1986
This report analyzes surveys and studies using a management information system developed in 1985-86 by the Sacramento (California) school district. Objectives were to facilitate policy decisions and to provide a database for assessment of student achievement, district progress, and the district's long-range plan. The report is presented in nine…
Descriptors: Academic Achievement, Board of Education Policy, Data Interpretation, Decision Making