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學年
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111 |
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學期
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1 |
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出版（發表）日期
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2022-10-14 |
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作品名稱
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Predicting the Enrollments in Humanities and STEM Programs in Higher Education Using ARIMAX Models |
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作品名稱（其他語言）
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著者
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Dian-Fu Chang, Wen-Shan Zhu and Shu-Jing Wu |
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單位
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出版者
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著錄名稱、卷期、頁數
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International Journal of Online Pedagogy and Course Design 12(4), 15 pages |
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摘要
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Traditionally, the participation patterns in the humanities and STEM (science, technology, engineering, and mathematics) programs in higher education differ. This study aims to tackle this issue using concurrent time series data sets in the expanding higher education system. The authors selected the higher education system in Taiwan as an example. The participation in the humanities and STEM programs, covering 71 periods from 1950-2020, were collected from the Ministry of Education in Taiwan.
The authors applied CCF (cross-correlation function) and ARIMAX (multivariable autoregressive integrated moving average) models to select the fittest model to predict the future trend. The humanities were the input variable and STEM was the output variable in the model. The findings revealed that ARIMAX (1,2,1) works well for these target data sets. According to the findings, enrollment in STEM programs will decrease with the decline in humanities programs in the future. This finding may provide useful information to related policy makers. |
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關鍵字
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ARIMAX Models, Cross-Correlation Function, Higher Education, Humanities and STEM Programs, Transfer Function |
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語言
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en_US |
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ISSN
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2155-6873 |
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期刊性質
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國外 |
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收錄於
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ESCI
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產學合作
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國內
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通訊作者
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Shu-Jing Wu |
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審稿制度
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是 |
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國別
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USA |
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公開徵稿
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出版型式
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,電子版,紙本 |