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Conzemius, Anne – Journal of Staff Development, 2012
This article discusses five generally accepted reasons to use data as a part of an educator's ongoing professional practice. Of course, there are many other more specific reasons one might look at data, but these five cover the overarching need in an educational setting. The five major purposes for using data are: (1) To enhance understanding and…
Descriptors: Data Analysis, Teaching (Occupation), Educational Practices, Perspective Taking
Harris, Sandra; Edmonson, Stacey; Combs, Julie – Eye on Education, 2010
This book shows school leaders how they can infuse their daily practice with an examination of the actions they take to improve their schools. It identifies eight steps that inform the school improvement process and boost student achievement. These steps provide a framework for examining school improvement as part of a genuine process with meaning…
Descriptors: Educational Improvement, Instructional Leadership, Data Analysis, Reflection
International Educational Data Mining Society, 2012
The 5th International Conference on Educational Data Mining (EDM 2012) is held in picturesque Chania on the beautiful Crete island in Greece, under the auspices of the International Educational Data Mining Society (IEDMS). The EDM 2012 conference is a leading international forum for high quality research that mines large data sets of educational…
Descriptors: Information Retrieval, Data, Data Analysis, Pattern Recognition
Whitehurst, Grover J.; Chingos, Matthew M.; Gallaher, Michael R. – Brookings Institution, 2013
School districts occupy center stage in education reform in the U.S. They manage nearly all public funding and are frequently the locus of federal and state reform initiatives, e.g., instituting meaningful teacher evaluation systems. Financial compensation for district leaders is high, with many being paid more than the chief state school officers…
Descriptors: School Districts, Superintendents, Academic Achievement, Influences
West, Darrell M. – Brookings Institution, 2012
Twelve-year-old Susan took a course designed to improve her reading skills. She read short stories and the teacher would give her and her fellow students a written test every other week measuring vocabulary and reading comprehension. A few days later, Susan's instructor graded the paper and returned her exam. The test showed that she did well on…
Descriptors: Data Processing, Internet, Pattern Recognition, Data Analysis
Kadel, Rob – Learning & Leading with Technology, 2010
In education, data-driven decision making is a buzz word that has come to mean collecting absolutely as much data as possible on everything from attendance to zero tolerance, and then having absolutely no idea what to do with it. Most educational organizations with a plethora of data usually call in a data miner, or evaluator, to make some sense…
Descriptors: Data, Decision Making, Evaluators, Data Analysis
Pitts, Kristy L. – ProQuest LLC, 2010
Since the passage of the No Child Left Behind Act (NCLB) in 2001, public school systems have been engaged in a system of educational reform fueled by a level of accountability that includes not only the performance of the students, but also the performance of the teachers and the administrators. Recent studies have found that student achievement…
Descriptors: Teacher Attendance, Employee Absenteeism, Teaching (Occupation), Pattern Recognition
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Faulkner, Robert; Davidson, Jane W.; McPherson, Gary E. – International Journal of Music Education, 2010
The use of data mining for the analysis of data collected in natural settings is increasingly recognized as a legitimate mode of enquiry. This rule-inductive paradigm is an effective means of discovering relationships within large datasets--especially in research that has limited experimental design--and for the subsequent formulation of…
Descriptors: Foreign Countries, Data Processing, Pattern Recognition, Data Analysis
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Xu, Beijie; Recker, Mimi – Educational Technology & Society, 2012
Teachers and students increasingly enjoy unprecedented access to abundant web resources and digital libraries to enhance and enrich their classroom experiences. However, due to the distributed nature of such systems, conventional educational research methods, such as surveys and observations, provide only limited snapshots. In addition,…
Descriptors: Electronic Libraries, Instructional Design, Mixed Methods Research, Use Studies
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Springer, Matthew G.; Liu, Keke; Guthrie, James W. – Education Economics, 2009
While there is a wealth of research on school finance equity and adequacy, and school finance theory clearly documents differences between the two concepts, no study has examined whether the reforms engendered by each approach actually differ in terms of resource distribution. The present study examines the issues using district-level data on…
Descriptors: Educational Finance, Educational Equity (Finance), Equal Education, Student Needs
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Hung, Jui-Long; Hsu, Yu-Chang; Rice, Kerry – Educational Technology & Society, 2012
This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…
Descriptors: Web Based Instruction, Databases, Virtual Classrooms, Decision Support Systems
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers