Validation of the self-regulated online learning questionnaire

Abstract The number of students engaged in Massive Open Online Courses (MOOCs) is increasing rapidly. Due to the autonomy of students in this type of education, students in MOOCs are required to regulate their learning to a greater extent than students in traditional, face-to-face education. However, there is no questionnaire available suited for this online context that measures all aspects of self-regulated learning (SRL). In this study, such a questionnaire is developed based on existing SRL questionnaires. This is the self-regulated online learning ques- tionnaire. Exploratory factor analysis (EFA) on the first dataset led to a set of scales differing from those theoretically defined beforehand. Confirmatory factor analysis (CFA) was conducted on a second dataset to compare the fit of the theoretical model and the exploratively obtained model. The exploratively obtained model provided much better fit to the data than the theoretical model. All models under investigation provided better fit when excluding the task strategies scale and when merging the scales measuring metacognitive activities. From the results of the EFA and the CFA it can be concluded that further development of the questionnaire is necessary.

Hoe ontwerpt u een effectieve MOOC? Voorbeelden uit de praktijk

Wat is kenmerkend voor het design van Massive Open Online Courses (MOOCs)? Wat maakt ontwerpen van MOOCs bijzonder uitdagend maar ook bijzonder interessant? In de workshop over MOOC Ontwerp gaat u actief op zoek naar antwoorden aan de hand van ervaringen met het ontwerpen en uitleveren van MOOCs in twee Europese projecten: EMMA en ECO.