Understanding high dropout rates in MOOCs – a qualitative case study from Pakistan
Kaukab Abid Azhar, Nayab Iqbal, Zubair Shah, Hassaan Ahmed
Abstract
Massive Online Open Courses (MOOCs) are a form of online learning that has become increasingly popular across the globe, yet they often suffer from low completion rates. This study aims to advance understanding of the Dropout Phenomenon in MOOCs through a qualitative case study conducted in Pakistan. The purpose of this research is to understand why learners drop out of MOOCs by identifying the factors that influence the decision of learners. Semi-structured interviews with MOOC participants were conducted and analysed who had enrolled in two MOOCs that had a high dropout rate. The responses from the interviews were categorised under three overarching themes: lack of motivation, perception of course content, and inability to manage time. Within those themes, several factors that affect course dropout rates were identified, including perceived rewards, difficulties in comprehension, academic and family commitments, and duration of the course.