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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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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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Analyzing students performance using Academic Analytics
2016 International Conference on ICT in Business Industry & Government (ICTBIG), 2016In this research study, our major interest is to test the significant association between selected variables which otherwise invisible. These variables have indirect impact on performance of students. We have devised out our own dataset for the experimental purpose. Our study has made these variables and their relationship visible.
Mahesh Joshi +3 more
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Advanced Learning Analytics in Academic Education
International Journal on Semantic Web and Information Systems, 2020The integration of innovative data mining and decision-making techniques in the context of higher education is a bold initiative towards enhanced performance. Predictive and descriptive analytics add interesting insights for significant aspects the education.
Ayman G. Fayoumi, Amjad Fuad Hajjar
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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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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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BEHAVIOR ANALYTIC CONSULTATION FOR ACADEMIC REFERRAL CONCERNS
Psychology in the Schools, 2015Applied behavior analysis provides a technology of human behavior that demonstrates great potential for improving socially important outcomes for individuals. School‐based consultation may provide a vehicle for delivering applied behavior analysis services in schools to address academic referral concerns.
Dufrene, Brad A. +3 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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Using Analytics to Improve Academic Persistence
2018This chapter addresses the question of how analytics can be used to support the improvement of academic persistence, defined as the focused pursuit of both short- and long-term academic goals while avoiding seductive distractions. To improve motivation to persist, measures, analytics, and interventions can be organized to focus on the three factors ...
David Niemi +3 more
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