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Strategies for College Entrance Based on Big Data Analysis -Case Study of college in Central Region

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2022, 8(2), pp.25-33
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : March 2, 2022
  • Accepted : April 15, 2022
  • Published : April 30, 2022

Bae Jung Ho 1 Burm,EunAe 1

1백석문화대학교

Accredited

ABSTRACT

The purpose of this study is to provide the basic data for establishing a unique admissions promotion strategy for each university and to innovate the paradigm of university admissions promotion through the examples of central universities in the practice of PR promotion based on big data analysis. To this end, prior literature related to university publicity (marketing), and recognition of prospective college students who visited the university, and database data were defined and analyzed as big data. As a result, first, the preliminary studies related to college entrance exam promotion (marketing) increased dramatically in the 2000s and 2010s as part of preparing for countermeasures against population decline in school age. Responding to the need for an admissions promotion strategy to accelerate visits to prospective college students, the database data analysis result suggested the selection and concentration of entrance exam strategies based on the university's regional and academic characteristics.

Citation status

* References for papers published after 2022 are currently being built.