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Exploring The Relationship Between Clout And Cognitive Processing In Mooc Discussion Forums, Robert L. Moore, Cherng-Jyh Yen, F. Eamonn Powers
Exploring The Relationship Between Clout And Cognitive Processing In Mooc Discussion Forums, Robert L. Moore, Cherng-Jyh Yen, F. Eamonn Powers
STEMPS Faculty Publications
The purpose of this study was to explore the relationship between clout and cognitive processing in massive open online course (MOOC) discussion forum posts. Cognitive processing, a category variable generated by the automated text analysis tool, Linguistic Inquiry Word Count (LIWC), is made up of six sub-scores (insight, causation, discrepancy, tentativeness, certainty and differentiation). Clout is a nontransparent summary variable in LIWC that can be used to understand the level of confidence conveyed in the text. Because clout is nontransparent, we do not know the algorithm used to calculate its value. To better understand this variable, this study examined cognitive …
Setting The Pace: Examining Cognitive Processing In Mooc Discussion Forums With Automatic Text Analysis, Robert L. Moore, Kevin M. Oliver, Chuang Wang
Setting The Pace: Examining Cognitive Processing In Mooc Discussion Forums With Automatic Text Analysis, Robert L. Moore, Kevin M. Oliver, Chuang Wang
STEMPS Faculty Publications
Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can create challenges for understanding and adequately describing student behaviors. Utilizing automatic text analysis, this study built a hierarchical linear model that examines the influence of the pacing condition of a massive open online course (MOOC), whether it is self-paced or instructor-paced, on the demonstration of cognitive processing in a …