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Investigating Relationship Between Discourse Behavioral Patterns and Academic Achievements of Students in SPOC Discussion Forum

机译:在SPOC论坛上探讨话语行为模式与学生学业成绩的关系

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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.
机译:话语作为内部心理过程的一种明显表达,已经成为互动学习研究的主要数据来源。为了深入探讨互动之间的行为规律,本文首先采用内容分析方法,总结了小型私人在线课程(SPOC)系统中课程论坛中学生的参与模式。其次,通过情感词匹配和情感密度计算,描述集体正负情感的演变趋势,并比较不同成就学生的情感强度。分析结果表明,大多数参与模式与学业成绩之间存在显着相关性,高成就组似乎在互动,注册,问题,观点和主题发布方面比低成就组更为活跃。此外,在积极情绪上,高中和中学生都比低中学生好。但是,在高,中,低成就学生中,负面情绪没有显着差异。

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