Evaluation of college admissions: a decision tree guide to provide information for improvement

Author:

Liu Ying-SingORCID,Lee Liza

Abstract

AbstractThis study uses decision trees to analyze the admissions and enrollment of Taiwan’s 5-year junior colleges to explore the reasons that students might fail in an exam-free admissions process, propose methods for improvement, and view the implementation of the pedagogical theory of multiple intelligences. The college admissions system may produce confusion in Taiwan. Schools in metropolitan areas retain an advantage for screening talent across multiple abilities, and colleges in agricultural counties may unintentionally marginalize people, resulting in insufficient enrollment or an inverse selection of talent. It has been suggested that increasing the number of schools in metropolitan areas will reduce the rates of enrollment failure and improve the compulsory education environment that many are forced to attend.

Publisher

Springer Science and Business Media LLC

Subject

General Economics, Econometrics and Finance,General Psychology,General Social Sciences,General Arts and Humanities,General Business, Management and Accounting

Reference32 articles.

1. Amburgey WOD, Yi J (2011) Using business intelligence in college admissions: a strategic approach. Int J Bus Intell Res 2(1):1–15

2. Asif R, Merceron A, Ali SA, Haider NG (2017) Analyzing undergraduate students’ performance using educational data mining. Comput Educ 113:177–194

3. Aulck L, Nambi D, Velagapudi N, Blumenstock J, West J (2019) Mining university registrar records to predict first-year undergraduate attrition. In: Proceedings of the 12th international conference on educational data mining (EDM 2019). International Educational Data Mining Society, Montreal, Canada, pp. 9–18

4. Berry MA, Linoff G (1997) Data mining techniques for marketing, sales, and customer support. Wiley and Sons, New York

5. Chou CP (2009) Toward a twelve-year basic education program in Taiwan. Bull Educ Resour Res (Taiwan) 42:25–42

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