No abstract

Massive Open Online Courses (MOOCs)—in part, because of their free, flexible, and relatively anonymous nature—may provide a means for helping overcome the large gender gap in Computer Science (CS). This study examines why women and men chose to enroll in a CS MOOC and how this is related to successful behavior in the course by (a) using k-means clustering to explore the reasons why women and men enrolled in this MOOC and then (b) analyzing if these reasons are related to forum participation and, ultimately, persistence in the course. Findings suggest that women and men have different reasons for taking this CS MOOC, and they persist at different rates, an outcome that is moderated by forum participation.

No abstract

No abstract

Theories of student attrition based on Tinto’s Student Integration Model are limited in their ability to provide a comprehensive framework to design a computer-adaptive online exit survey. An alternative framework encompassing the overall impressions and experiences of the dropout students during their stay at the institution is used to design the exit survey. This chapter outlines the conceptual and methodological issues surrounding computer-adaptive online exit surveys, and discusses the design, development, and administration of the survey questionnaire.