DocumentCode
17279
Title
Predictive Analytics in a Higher Education Context
Author
Jindal, Rajni ; Borah, Malaya Dutta
Author_Institution
Delhi Technol. Univ., Delhi, India
Volume
17
Issue
4
fYear
2015
fDate
July-Aug. 2015
Firstpage
24
Lastpage
33
Abstract
Predictive analytics is the process of forecasting future courses of action by analyzing historical and current facts. It´s now a priority in many organizations because it can suggest the most favorable future planning by letting decision makers combine data about the four W´s--that is, what, who, where, and when--to analyze why and how. Apart from business, it plays a vital role in higher education planning. Higher education plays an important role in a nation´s socioeconomic development. As an educational management tool, predictive analytics can help improve education quality by letting us analyze critical issues in education such as enrollment management and curriculum development. This article presents an analytical study of the prospects of predictive analytics in education planning, focusing on technical education. As a case study, the authors discuss an All India Council for Technical Education-sponsored project at Delhi Technical University, India.
Keywords
data analysis; educational administrative data processing; further education; All India Council for Technical Education; education quality; educational management tool; higher education context; higher education planning; on technical education; predictive analytics; socioeconomic development; Data analysis; Data mining; Data models; Forecasting; Market research; Predictive models; and analytics; data mining; enrollment management; higher education; predictive analytics; quality education;
fLanguage
English
Journal_Title
IT Professional
Publisher
ieee
ISSN
1520-9202
Type
jour
DOI
10.1109/MITP.2015.68
Filename
7160892
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