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This study employed a quantitative research design to examine the predictive relationships between: (a) learner autonomy and course success; and (b) learner autonomy and final grades in community college online courses. Learner autonomy was defined as the characteristic of an individual who exhibited intentional behavior in learning activities. The results of the binary and ordinal logistic regression analyses suggested that learner autonomy was a valid predictor of course success and final grades in community college online courses. The implications of the results are discussed in the context of early identification and effective intervention. Specifically, two interventions are recommended: (a) blended learning programs, and (b) advisory and counseling services.

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 processing alongside clout. In this study, a series of linear mixed models were fitted to evaluate, after controlling for gender, degree and type of post, if the focal relationship between each sub‐score of cognitive processing as the predictor variables and clout as the dependent variable changed across courses with different pacing (self‐paced or instructor‐paced). Next, the focal relationship between each predictor and clout was examined with or without regard to pacing. Findings showed words classified as showing discrepancy, certainty or differentiation were negatively associated with clout scores.