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Academic Analytics: Mapping the Genome of the University
IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 2014Higher education institutions have multiple technologic subsystems for administrative, pedagogical management, and quality purposes, which gather an immense volume of data from various sources and which do not communicate with each other. The domain of the analytic performances in education emerges from the need to aggregate multiple sources of data ...
Ferreira, Sérgio André +1 more
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Benchmarking Academic Programs in Business Analytics
Interfaces, 2014Interest in business analytics (BA) is currently popular. Professional consultancies and software houses are both touting it as the next wave in business, claiming that the need for BA skills is large and growing. Universities are beginning to respond by offering undergraduate majors and minors, Master of Science degrees, certificates, and ...
Gorman, Michael F., Klimberg, Ronald K.
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Extending Academic Analytics to Engineering Education
2018 IEEE Frontiers in Education Conference (FIE), 2018This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide quantitative
Anthony M. DeRocchis +3 more
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Academic Analytics Through MOOCs
2021The stepping milestone of achievements enjoyed by Mission NPTEL MOOCs under (Study Webs of Active–Learning for Young Aspiring Minds) SWAYAM has succeeded in diverting the teaching–learning environments to more amicable knowledge sharing platform and in enriching their learning experience in more promising directions using famous 4-quadrant pedagogy ...
Arpana Rawal +3 more
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Open academic analytics initiative
Proceedings of the Third International Conference on Learning Analytics and Knowledge, 2013This paper describes the results on research work performed by the Open Academic Analytics Initiative, an on-going research project aimed at developing an early detection system of college students at academic risk, using data mining models trained using student personal and demographic data, as well as course management data.
Eitel J. M. Lauría +4 more
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The Evolution of Analytics and Implications for Industry and Academic Programs
Interfaces, 2018In this work, we discuss how analytics is evolving in industry and academia. To assess industry needs, we conducted a text-mining study of online job postings for analytics-related positions. We also conducted a survey of academic programs in analytics-related master’s programs to ascertain topic coverage relative to industry needs. Based on these two
Melissa R. Bowers +2 more
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Comparing Data Mining Models in Academic Analytics
International Journal of Knowledge-Based Organizations, 2016The goal of this research study was to compare data mining techniques in predicting student graduation. The data included demographics, high school, ACT profile, and college indicators from 1995-2005 for first-time, full-time freshman students with a six year graduation timeline for a flagship university in the south east United States.
Dheeraj Raju, Randall Schumacker
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Review of eQETIC Model based on Academic Analytics
Proceedings of the 2017 9th International Conference on Education Technology and Computers, 2017The avalanche of data of many types generated at high speed proposes nowadays a new scenario nominated Big Data. These data generated by many types of systems, such as commercial systems, financial systems, and even systems involving areas such as healthcare and education need to be analyzed to favor decision making.
Rogério Rossi +2 more
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Academic analytics landscape at the University of Phoenix
Proceedings of the 1st International Conference on Learning Analytics and Knowledge, 2011The University of Phoenix understands that in order to serve its large population of non-traditional students, it needs to rely on data. We have created a strong foundation with an integrated data repository that connects data from all parts of the organization. With this repository in place, we can now undertake a variety of analytics projects.
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