Investigating relationship between discourse behavioral patterns and academic achievements of students in SPOC discussion forum

Zhi Liu, Wenjing Zhang, Hercy N.H. Cheng, Jianwen Sun, Sannyuya Liu

Research output: Contribution to journalReview articlepeer-review

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)37-50
Number of pages14
JournalInternational Journal of Distance Education Technologies
Volume16
Issue number2
DOIs
Publication statusPublished - Apr 1 2018
Externally publishedYes

Keywords

  • Discourse Behaviors
  • Engagement Patterns
  • Learning Analytics
  • Sentiment Density
  • Small Private Online Course (SPOC)

ASJC Scopus subject areas

  • Education
  • Computer Science Applications
  • Computer Networks and Communications

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