DocumentCode :
1923085
Title :
Qualitative Text Mining in Student´s Service Learning Diary
Author :
Chia-Ling Hsu ; Ya-Fung Chang
fYear :
2012
fDate :
26-28 Sept. 2012
Firstpage :
350
Lastpage :
354
Abstract :
Since Harvard University emphasized the important characters of college students, the service learning courses or activities is driving in educational system especially in higher education in order to building up the students global caring characters. This paper used the text mining technology to analyze the diary of the pre-service teachers attending the service learning activities. The purpose of this paper is to appear and analyze the service learning activities in order to finding out the learning outcome of students as well as providing a reflection of the service learning activities. The significance of this study is to provide a reflection and strategy form the practical data driven and using qualitative text mining technology. In other words, this study combined the Ground theory and text mining technology to find a storyline for reflection and to suggest some rare and important factors for improving the service learning activities.
Keywords :
computer aided instruction; data mining; further education; text analysis; Ground theory; Harvard university; college students; educational system; higher education; pre-service teachers; qualitative text mining technology; service learning courses; student service learning diary; students global caring characters; Computers; Educational institutions; Reflection; Text mining; Writing; ground theory; innovattion and diffusion; instructional design; text mining; weak-tie;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4673-2838-8
Type :
conf
DOI :
10.1109/IBICA.2012.54
Filename :
6337691
Link To Document :
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