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Application of Human-Computer Collaboration Text Mining Technology in Educational Qualitative Research——Based on Chinese Text Data of Teaching Evaluation in a University

WHAN Jin-yu;ZHAN Yi-si;FENG Qi;LI Man-li;Institute of Education,Tsinghua University;Then Center for Student Learning and Development,Tsinghua University;Department of Electrical Engineering,Tsinghua University;  
Although sharp growing massive text data has become a treasure for qualitative researchers, it has not been fully studied because few effective analysis methods for massive Chinese text data have been created. This research initiated the use of a human-computer collaboration method represented by the structural topic model(STM) in the R language in the educational qualitative research paradigm. By mining classroom observation record data of a university's online teaching effect evaluation, this paper presents the four steps of applying the STM model to data mining in the qualitative research of education and analyzes the strengths and weaknesses of the R language in mining massive Chinese text data. Studies have shown that interdisciplinary research methods can help overcome the inherent challenges in the qualitative analysis of massive Chinese texts in educational research and even beyond the humanities and social sciences.
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