INTED 2019 - 13th International Technology, Education and Development Conference
Valencia, Spain, 11-13 March
Massive Open Online Courses differ from traditional forms of learning, because of their free access, abundance of resources and of user interaction tools available. Notwithstanding these features, some learners reach their achievement while others do not. In learning analytics literature there are many contributing relating to how Massive Open Online Courses learners’ behaviours determine performance. The paper proposes a study to face the conceptualisation, operativisation and measurement of learning and engagement, two determinists of learners’ performance. Moreover, considering the multidimensional and complex nature of Massive Open Online Courses learning assessment, a Partial Least Squares model is also proposed.