What makes teacher students become official teachers - A preliminary exploration of critical predictors based on data mining techniques

Yi Fen Yeh, Jia Li Huang, Ying Shao Hsu, Yuen Hsien Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study tries to help answer some questions encountered by the decision makers of teacher training program: which factors are more critical to lead the teacher students to success, i, e, to become official teachers. A total of 2010 student records were collected and thousands of courses taken by the students are categorized into six knowledge types. A decision tree learned from these data with 23 attributes was able to inform which learning paths would lead to better chance of success.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
EditorsAyako Hiramatsu, Tokuro Matsuo, Akimitsu Kanzaki, Norihisa Komoda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1176-1177
Number of pages2
ISBN (Electronic)9781467389853
DOIs
Publication statusPublished - 2016 Aug 31
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: 2016 Jul 102016 Jul 14

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
CountryJapan
CityKumamoto
Period16/7/1016/7/14

Fingerprint

Data mining
Students
Decision trees

Keywords

  • Knowledge types
  • Pedagogical content knowledge
  • Teacher education

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Yeh, Y. F., Huang, J. L., Hsu, Y. S., & Tseng, Y. H. (2016). What makes teacher students become official teachers - A preliminary exploration of critical predictors based on data mining techniques. In A. Hiramatsu, T. Matsuo, A. Kanzaki, & N. Komoda (Eds.), Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 (pp. 1176-1177). [7557793] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2016.254

What makes teacher students become official teachers - A preliminary exploration of critical predictors based on data mining techniques. / Yeh, Yi Fen; Huang, Jia Li; Hsu, Ying Shao; Tseng, Yuen Hsien.

Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. ed. / Ayako Hiramatsu; Tokuro Matsuo; Akimitsu Kanzaki; Norihisa Komoda. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1176-1177 7557793.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yeh, YF, Huang, JL, Hsu, YS & Tseng, YH 2016, What makes teacher students become official teachers - A preliminary exploration of critical predictors based on data mining techniques. in A Hiramatsu, T Matsuo, A Kanzaki & N Komoda (eds), Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016., 7557793, Institute of Electrical and Electronics Engineers Inc., pp. 1176-1177, 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016, Kumamoto, Japan, 16/7/10. https://doi.org/10.1109/IIAI-AAI.2016.254
Yeh YF, Huang JL, Hsu YS, Tseng YH. What makes teacher students become official teachers - A preliminary exploration of critical predictors based on data mining techniques. In Hiramatsu A, Matsuo T, Kanzaki A, Komoda N, editors, Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1176-1177. 7557793 https://doi.org/10.1109/IIAI-AAI.2016.254
Yeh, Yi Fen ; Huang, Jia Li ; Hsu, Ying Shao ; Tseng, Yuen Hsien. / What makes teacher students become official teachers - A preliminary exploration of critical predictors based on data mining techniques. Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. editor / Ayako Hiramatsu ; Tokuro Matsuo ; Akimitsu Kanzaki ; Norihisa Komoda. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1176-1177
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