Home > Archive > 2016 > Volume 6 Number 7 (Jul. 2016) >
IJIET 2016 Vol.6(7): 555-559 ISSN: 2010-3689
DOI: 10.7763/IJIET.2016.V6.750

A Model of Decision Support System for Choosing High School Learning Plan Using Students’ O-NET Score and Multiple Intelligence

Thanrat Sintanakul and Charun Sanrach

Abstract—Choosing high school learning plan is very importance for students because if one has chosen wrong learning plan, he/she has to study in that dislike or unskilled plan for three years (until finishing high school study). In Thailand, there are many students who have chosen the wrong/dislike/unskilled learning plan. This research proposes a model of decision support system for choosing high school learning plan according to students’ Ordinary National Education Test (O-NET) scores and their multiple intelligences (MI). Inputs of the proposed model are Grade 9 O-NET Scores and the results from MI Questionnaire of students. The process is consideration of the predicted Grade 12 O-NET Scores (from grade 9 O-NET scores using classification technic in data mining) together with the students’ MI. Then, the output of the model is the list of suitable learning plan(s) for such student.

Index Terms—Decision support system, high school learning plan, multiple intelligence (MI), O-NET score.

The authors are with the Department of Computer Education, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand (e-mail: thanrat.s@fte.kmutnb.ac.th).

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Cite: Thanrat Sintanakul and Charun Sanrach, "A Model of Decision Support System for Choosing High School Learning Plan Using Students’ O-NET Score and Multiple Intelligence," International Journal of Information and Education Technology vol. 6, no. 7, pp. 555-559, 2016.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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