TY - JOUR
T1 - Investigating relationship between discourse behavioral patterns and academic achievements of students in SPOC discussion forum
AU - Liu, Zhi
AU - Zhang, Wenjing
AU - Cheng, Hercy N.H.
AU - Sun, Jianwen
AU - Liu, Sannyuya
N1 - Funding Information:
This work was supported by the Research Funds from National Natural Science Foundation of China (Grant No. 61702207), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (Grant No. 16YJC880052), China Scholarship Council (Grant No. 201706775022), National Social Science Fund Project of China (Grant No. 14BGL131), Ministry of Education-China Mobile (Grant No. MCM20160401).
Publisher Copyright:
Copyright © 2018, IGI Global.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - As an overt expression of internal mental processes, discourses have become one main data source for the research of interactive learning. To deeply explore behavioral regularities among interactions, this article firstly adopts the content analysis method to summarize students' engagement patterns within a course forum in a small private online course (SPOC) system. Secondly, through sentiment word matching and sentiment density calculation, the authors characterize the evolution trends of collective positive and negative sentiments, and compare sentiment strengths of different achieving students. The analytical result shows that there is a significant correlation between most engagement patterns and academic achievements, and high-achieving group seems more active than low-achieving group in terms of interactive, register, question, viewpoint and thematic postings. Besides, both of high and middle-achieving students are superior to low-achieving students on positive sentiment. But, there is no significant difference among high-, middle- and low-achieving students on negative sentiments.
AB - As an overt expression of internal mental processes, discourses have become one main data source for the research of interactive learning. To deeply explore behavioral regularities among interactions, this article firstly adopts the content analysis method to summarize students' engagement patterns within a course forum in a small private online course (SPOC) system. Secondly, through sentiment word matching and sentiment density calculation, the authors characterize the evolution trends of collective positive and negative sentiments, and compare sentiment strengths of different achieving students. The analytical result shows that there is a significant correlation between most engagement patterns and academic achievements, and high-achieving group seems more active than low-achieving group in terms of interactive, register, question, viewpoint and thematic postings. Besides, both of high and middle-achieving students are superior to low-achieving students on positive sentiment. But, there is no significant difference among high-, middle- and low-achieving students on negative sentiments.
KW - Discourse Behaviors
KW - Engagement Patterns
KW - Learning Analytics
KW - Sentiment Density
KW - Small Private Online Course (SPOC)
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U2 - 10.4018/IJDET.2018040103
DO - 10.4018/IJDET.2018040103
M3 - Review article
AN - SCOPUS:85043988891
SN - 1539-3100
VL - 16
SP - 37
EP - 50
JO - International Journal of Distance Education Technologies
JF - International Journal of Distance Education Technologies
IS - 2
ER -