• 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