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Download full textZhang, Qing; Bonafini, Fernanda Cesar; Lockee, Barbara B.; Jablokow, Kathryn W.; Hu, Xiaoyong – International Review of Research in Open and Distributed Learning, 2019
This paper investigates the degree to which different variables affect the completion of a Massive Open Online Course (MOOC). Data on those variables, such as age, gender, English proficiency, education level, and motivation for course enrollment were first collected through a pre-course survey. Next, course completion records were collected via…
Descriptors: Demography, Student Motivation, Predictor Variables, Online Courses
Lei, Jun; Lin, Teng – International Review of Research in Open and Distributed Learning, 2022
This study investigated the effects of interactional, motivational, self-regulatory, and situational factors on university students' online learning outcomes and continuation intentions during the COVID-19 pandemic. Data were collected from 255 students taking a business course at a university in southern China. Hierarchical multiple regression…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
Wang, Yuan; Baker, Ryan – International Review of Research in Open and Distributed Learning, 2018
In recent years there has been considerable interest in how many learners complete MOOCs, and what factors during usage can predict completion. Others, however, have argued that many learners never intend to complete MOOCs, and take MOOCs for other reasons. There has been qualitative research into why learners take MOOCs, but the link between…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
