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Picciano, Anthony G. – Journal of Asynchronous Learning Networks, 2012
Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches generally referred to as analytics. Big data and analytics for instructional applications are in their infancy and will take a few years to mature, although their presence is…
Descriptors: Higher Education, Decision Making, Data, Data Analysis
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Weinstock, Jeff – T.H.E. Journal, 2009
When the author and his colleagues last left Chicago Public Schools (CPS) and Texas' Plano Independent School District in April 2008, both school districts were immersed in the long and labored advance toward becoming a fully matured data-driven operation, one that uses sophisticated technologies to gather data, sort and interpret it, and…
Descriptors: Decision Making, Data, Program Implementation, School Districts
Dziuban, Charles; Moskal, Patsy; Cavanagh, Thomas; Watts, Andre – Journal of Asynchronous Learning Networks, 2012
The authors describe the University of Central Florida's top-down/bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors…
Descriptors: Educational Change, Strategic Planning, Research Utilization, Databases
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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
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Macfadyen, Leah P.; Dawson, Shane – Educational Technology & Society, 2012
Learning analytics offers higher education valuable insights that can inform strategic decision-making regarding resource allocation for educational excellence. Research demonstrates that learning management systems (LMSs) can increase student sense of community, support learning communities and enhance student engagement and success, and LMSs…
Descriptors: Foreign Countries, Computer Uses in Education, Participant Observation, Program Evaluation
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Archbald, Doug; Keleher, Julia – American Secondary Education, 2008
Despite a decade of advocacy and advances in technology, data driven decision making remains an elusive vision for most high schools. This article identifies key data systems design needs and presents methods for monitoring, managing, and improving programs. Because of its continuing salience, we focus on the issue of tracking (ability grouping).…
Descriptors: Track System (Education), Student Placement, Ability Grouping, Decision Making
Ben-Naim, Dror; Bain, Michael; Marcus, Nadine – International Working Group on Educational Data Mining, 2009
It has been recognized that in order to drive Intelligent Tutoring Systems (ITSs) into mainstream use by the teaching community, it is essential to support teachers through the entire ITS process: Design, Development, Deployment, Reflection and Adaptation. Although research has been done on supporting teachers through design to deployment of ITSs,…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Computer System Design, Computer Managed Instruction
Learning Point Associates, 2006
Data fuel the process of change. Schools and districts should have electronic data systems that store data and make it easy to extract useful information. School leaders and their staff have questions; they need answers. Their data, when stored in a suitable electronic data system, will help them construct better answers to their questions more…
Descriptors: Data, Decision Making, Readiness, Worksheets