2015
DOI: 10.3991/ijet.v10i5.4722
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Analyzing Temporal Patterns of Groups and Individuals in an Online Learning Forum

Abstract: Abstract-Time plays a fundamental role that benefits and challenges online discussions. It requires considering the temporal aspect for both analyzing how learning takes places through online discussion and for designing effective structures to support discussion activity. The purpose of this study was to examine the temporal patterns of group and individual participation in a discussion forum. Data were collected from the logs and postings of college students. This study first investigated the temporal patter… Show more

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Cited by 4 publications
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“…In the realization of AEM, much attention has been paid towards discoveries of the expressed sentiments in the applications of academic recommender system (Kaklauskas, Zavadskas, & Seniut, 2013), opinion leader identification (Li, Ma, & Zhang, 2013), forum topic mining (Cheng et al, 2015;Colace, Santo, & Luca Greco, 2014), and community quality analysis (Ghiasifard et al, 2015), etc. However, all the available methods mentioned above are unable to highlight the identification and visualization of topic sentiment based on learning topic mining and sentiment clustering at various granularity-levels.…”
Section: Introductionmentioning
confidence: 99%
“…In the realization of AEM, much attention has been paid towards discoveries of the expressed sentiments in the applications of academic recommender system (Kaklauskas, Zavadskas, & Seniut, 2013), opinion leader identification (Li, Ma, & Zhang, 2013), forum topic mining (Cheng et al, 2015;Colace, Santo, & Luca Greco, 2014), and community quality analysis (Ghiasifard et al, 2015), etc. However, all the available methods mentioned above are unable to highlight the identification and visualization of topic sentiment based on learning topic mining and sentiment clustering at various granularity-levels.…”
Section: Introductionmentioning
confidence: 99%