The purpose of this study is to contribute to a better understanding of the complexity of conceptualising and measuring learner engagement in Massive Open Online Courses (MOOCs). The paper develops and validates a MOOC engagement scale (MES) to measure learner engagement. The initial questionnaire items of the scale were developed by reviewing…

Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an…

Scaffolds that support self-regulated learning (SRL) have been found to improve learning outcomes. The effects of scaffolds can differ depending on how learners use them and how specific scaffolds might influence learning processes differently. Personalized scaffolds have been proposed to be more beneficial for learning due to their adaptivity to…