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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
Greller, Wolfgang; Drachsler, Hendrik – Educational Technology & Society, 2012
With the increase in available educational data, it is expected that Learning Analytics will become a powerful means to inform and support learners, teachers and their institutions in better understanding and predicting personal learning needs and performance. However, the processes and requirements behind the beneficial application of Learning…
Descriptors: Foreign Countries, Computer Uses in Education, Ethics, Best Practices
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
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
Dyckhoff, Anna Lea; Zielke, Dennis; Bultmann, Mareike; Chatti, Mohamed Amine; Schroeder, Ulrik – Educational Technology & Society, 2012
Learning Analytics can provide powerful tools for teachers in order to support them in the iterative process of improving the effectiveness of their courses and to collaterally enhance their students' performance. In this paper, we present the theoretical background, design, implementation, and evaluation details of eLAT, a Learning Analytics…
Descriptors: Foreign Countries, Computer Uses in Education, Semi Structured Interviews, Usability
Olmos, Martin; Corrin, Linda – Journal of Asynchronous Learning Networks, 2012
The ability to visualize student engagement and experience data provides valuable opportunities for learning support and curriculum design. With the rise of the use of learning analytics to provide "actionable intelligence" on students' learning, the challenge is to create visualizations of the data, which are clear and useful to the…
Descriptors: Foreign Countries, Computer Graphics, Internet, Open Source Technology
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