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Mining Online Discussion Data for Understanding Teachers' Reflective Thinking

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成果类型:
期刊论文
作者:
Liu, Qingtang;Zhang, Si*;Wang, Qiyun;Chen, Wenli
通讯作者:
Zhang, Si
作者机构:
[Liu, Qingtang; Zhang, Si] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
[Zhang, Si] Hunan First Normal Univ, Modern Educ Technol Ctr, Changsha 410205, Hunan, Peoples R China.
[Wang, Qiyun; Chen, Wenli] Nanyang Technol Univ, Natl Inst Educ, 1 Nanyang Walk, Singapore 639798, Singapore.
通讯机构:
[Zhang, Si] C
[Zhang, Si] H
Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.
Hunan First Normal Univ, Modern Educ Technol Ctr, Changsha 410205, Hunan, Peoples R China.
语种:
英文
关键词:
collaborative learning;Computers and education;text analysis
期刊:
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES
ISSN:
1939-1382
年:
2018
卷:
11
期:
2
页码:
243-254
基金类别:
Correspondence may be addressed to Si Zhang, School of Educational Information Technology, Central China Normal University, Wuhan 430079, China. E-mail address: zhangsi1983@163.com. This work was supported by the MOE (Ministry of Education in China) Project of Humanities and Social Sciences [grant number 15YJC880134].
机构署名:
本校为第一且通讯机构
院系归属:
教育信息技术学院
摘要:
Teachers' online discussion text data shed light on their reflective thinking. With the growing scale of text data, the traditional way of manual coding, however, has been challenged. In order to process the large-scale unstructured text data, it is necessary to integrate the inductive content analysis method and educational data mining techniques. An inductive content analysis on samples taken from 17,624 posts was implemented and the categories of teachers' reflective thinking were obtained. Based on the results of inductive content analysis,...

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