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Romero-Zaldivar, Vicente-Arturo; Pardo, Abelardo; Burgos, Daniel; Delgado Kloos, Carlos – Computers & Education, 2012
The interactions that students have with each other, with the instructors, and with educational resources are valuable indicators of the effectiveness of a learning experience. The increasing use of information and communication technology allows these interactions to be recorded so that analytic or mining techniques are used to gain a deeper…
Descriptors: Academic Achievement, Prediction, Learning Experience, Data
Chebrolu, Shankar Babu – ProQuest LLC, 2010
Against the backdrop of new economic realities, one of the larger forces that is affecting businesses worldwide is cloud computing, whose benefits include agility, time to market, time to capability, reduced cost, renewed focus on the core and strategic partnership with the business. Cloud computing can potentially transform a majority of the…
Descriptors: Program Effectiveness, Information Technology, Correlation, Internet
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Schrader, P. G.; Lawless, Kimberly; Mayall, Hayley – Journal of Educational Multimedia and Hypermedia, 2008
When examined across studies and fields, navigation research is fragmented and inconsistent. In this article, we argue that this is the result of navigation research having generally been conducted without guidance from an overarching theoretical framework. In order to illustrate our position, we have included results from a very simple…
Descriptors: Models, Internet, Research Methodology, Student Interests
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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
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Burns, Catherine M.; Vicente, Kim J. – Information Processing & Management, 1996
Describes an empirical evaluation that investigated the criteria by which designers of human-machine systems evaluate design information. Professional designers of nuclear power plant control rooms rated hypothetical information search questions in terms of relevance, importance, cost, and effort based on Rouse's model of information search…
Descriptors: Computer System Design, Correlation, Costs, Designers
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries