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Gregg, Andrea; Wilson, Brent G.; Parrish, Patrick – IDEA Center, Inc., 2018
The field of learning analytics holds considerable promise for higher education, with reports of successful uses now emerging in selected institutions. At the same time, critics have expressed concerns regarding privacy, ethics, and intrusions into teachers' pedagogy. Without attentive planning, higher-education professionals applying learning…
Descriptors: Data Analysis, Higher Education, Vendors, Academic Achievement
National Forum on Education Statistics, 2022
Digital inequity has been a long-standing issue in the education community. A lack of home internet and technology devices can not only hinder students' ability to access educational resources at home, but can also have a detrimental effect on student achievement. Education agencies have taken steps over the past decades to address digital…
Descriptors: Access to Computers, Technology Uses in Education, Educational Technology, Internet
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Aguiar, Everaldo; Ambrose, G. Alex; Chawla, Nitesh V.; Goodrich, Victoria; Brockman, Jay – Journal of Learning Analytics, 2014
As providers of higher education begin to harness the power of big data analytics, one very fitting application for these new techniques is that of predicting student attrition. The ability to pinpoint students who might soon decide to drop out, or who may be following a suboptimal path to success, allows those in charge not only to understand the…
Descriptors: Academic Persistence, Engineering Education, Portfolios (Background Materials), Dropouts
Ambrose, G. Alex – ProQuest LLC, 2013
This study considers how advising ePortfolios are uniquely situated to address a current challenge in the application of educational technologies: using the right tool for the right job for the right reason at the right time. The particular problem identified for investigation lies at the intersection of two central issues: first, in the age of…
Descriptors: Learner Engagement, Higher Education, First Generation College Students, Portfolio Assessment
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
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
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
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Yamagata-Lynch, Lisa C. – Journal of the Learning Sciences, 2007
Understanding human activity in real-world situations often involves complicated data collection, analysis, and presentation methods. This article discusses how Cultural-Historical Activity Theory (CHAT) can inform design-based research practices that focus on understanding activity in real-world situations. I provide a sample data set with…
Descriptors: Qualitative Research, Systems Analysis, Research Methodology, Educational Change
Gold, Stephanie – Technology & Learning, 2005
The concept of data-driven professional development is both straight-forward and sensible. Implementing this approach is another story, which is why many administrators are turning to sophisticated tools to help manage data collection and analysis. These tools allow educators to assess and correlate student outcomes, instructional methods, and…
Descriptors: Teaching Methods, Instructional Effectiveness, State Standards, Computer Software