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

1 Citation (Scopus)

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

Publication series

NameProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Country/TerritoryJapan
CityKumamoto
Period2016/07/102016/07/14

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

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