Bonfring International Journal of Software Engineering and Soft Computing

Online ISSN: 2277-5099 Print ISSN: 2250-1045 Frequency: 4 Issues/Year

Impact Factor: 0.375 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)

Effective Online Discussion Data for Teachers Reflective Thinking Using Feature base Model

V. Yasvanth Kumaar and Dr.G. Singaravel


Abstract
In this paper analysis automatic coding method by integrating the inductive content analysis and text classification techniques. In existing model acquire the reflective thinking categories by conducting an inductive content analysis and base our text classification algorithm on the categories, so we augment the manual method of coding. We apply the trained classification model to a large-scale and unexplored online discussion data set, so we can have a comprehensive understanding of teachers reflection. This paper also provides six types of visualizations of the text classification results: the visualization of teachers reflection level and the visualization of teachers? reflection evolution. By using the categories gained from inductive content analysis to create a radar map, we visually represent teachers? reflection level after obtain the results of text classification future classification model.
Keywords Data Mining, Teacher Reflection Model, TF-IDF Classification, Visualization Learning.
Volume 9
Issue 2
Pages 47-51
Issue Date April , 2019
Full Text
Open Access
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