International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 9  (September 2017), Pages:  86-95

Title: Forecasting strategies and analyzing the numbers of incoming students: Case in Taiwanese vocational schools

Author(s):  Thanh-Tuyen Tran *


Scientific Research Office, Lac Hong University – No.10 Huynh Van Nghe, Bien Hoa, Dong Nai, Vietnam

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In the past few years, it is transparently observed a strict policy in Taiwan that government always has a tendency to focus on vocational and technical education, which is believed to create positive and miracle changes to their economy. However, to some extent, this trend faces several challenges: excellent courses and supporting facilities, long effective in training workers, are becoming outdated; students are getting less interested in vocational schools; and funding priorities for educational restructuring are still ambiguous. In addition, this thesis uses then Grey System theory is applied for gathering and analyzing these data in the period of 2007 to 2013, which then can be forecasted to 2016, while Moving Average has its own limitations so it is just used to forecast for 2014. Based on the potentials and accuracy of Grey model e.g., Grey model is still able to be applied for short-time forecasting or missing data, this study has finally used this model for further analysis by using its forecasting results. Consequently, the researcher demand for statistical data in term of how these numbers will increase or decrease in near future. As a result, simultaneously, when the downturns go to the “hot” majors, the trend experiences a huge increase in the Home Economics. To be more specific, it is observed a gradual and slight decline with the Marine Products majors. Therefore, this study can clearly provide the Ministry of Taiwanese Education a comprehensive vision so that pragmatic actions regarding education policies and resources allocation will be taken in the future. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (

Keywords: Forecasting, GM(1,1), Moving Average, Grey model, Taiwanese education, Vocational schools

Article History: Received 5 June 2017, Received in revised form 1 August 2017, Accepted 2 August 2017

Digital Object Identifier:


Tran TT (2017). Forecasting strategies and analyzing the numbers of incoming students: Case in Taiwanese vocational schools. International Journal of Advanced and Applied Sciences, 4(9): 86-95


  1. Cheng CC (2003). Forecasting the benefit of a university based on the grey model. Journal of Nanjing Institute of Technology (Natural Science Edition), 1(1): 59-66. 
  2. Deng J (1989). Introduction to grey system Theory. The Journal of Grey System, (1)1: 1–24.     
  3. Huang CM, Lin LF, Lee TC, and Guo JL (2013). Proximal to distal correlates of the patterns of illicit drug use among night school students in Taiwan. Addictive Behaviors, 38(1): 1481-1484.            PMid:23023192 
  4. Hyndman RJ and Koehler AB (2006). Another look at measures of forecast accuracy. International Journal of Forecasting, 22(4): 679-688. 
  5. Lin CR and Deng JL (1996). On grey prediction of gas pool. New Developments in Grey Systems Research, HUST Press, Wuhan, China.     
  6. Liu S, Dang Y, Fang Z, and Xie NM (2004). Grey system theory and its application. Science Press, Beijing, China.     
  7. McIntosh J, Collins E, and Collins C (2009). Home economics futures: Possible scenarios and where they take us. International Journal of Home Economics, 2(2): 85-101.     
  8. Nguyen NT and Tran TT (2015). Mathematical development and evaluation of forecasting models for accuracy of inflation in developing countries: A case of Vietnam. Discrete Dynamics in Nature and Society. 2015: Article ID 858157, 14 pages. 
  9. Nguyen NT and Tran TT (2017). Optimizing mathematical parameters of Grey system theory: an empirical forecasting case of Vietnamese tourism. Neural Computing and Applications: 1-15. 
  10. Nguyen NT, Tran TT, Wang CN, and Nguyen NT (2015). Optimization of strategic alliances by integrating DEA and grey model. Journal of Grey System, 27(1): 38-56.     
  11. Tang QY and Feng MG (2007). DPS data processing system-experimental design, statistical analysis and data mining. Science Press, Beijing, Chinese.