@inproceedings{60c69324dcf14ce18e2ecb015ebbcf40,
title = "What makes teacher students become official teachers - A preliminary exploration of critical predictors based on data mining techniques",
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.",
keywords = "Knowledge types, Pedagogical content knowledge, Teacher education",
author = "Yeh, {Yi Fen} and Huang, {Jia Li} and Hsu, {Ying Shao} and Tseng, {Yuen Hsien}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 ; Conference date: 10-07-2016 Through 14-07-2016",
year = "2016",
month = aug,
day = "31",
doi = "10.1109/IIAI-AAI.2016.254",
language = "English",
series = "Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1176--1177",
editor = "Ayako Hiramatsu and Tokuro Matsuo and Akimitsu Kanzaki and Norihisa Komoda",
booktitle = "Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016",
}