Modelling Temporality in Person- and Variable-Centred Approaches

Learning analytics needs to pay more attention the temporal aspect of learning processes, especially in self-regulated (SRL) research. In doing so, models should incorporate both duration and frequency activities, passage time, order activities. However, where this exhortation is widely supported, there less agreement on its consequences. Does paying tribute aspects processes necessarily imply that event-based are replace variable-based models, analytic discovery methods substitute traditional statistical methods? We do not require such a paradigm shift give their position. First, can be integrated into apply by carefully choosing appropriate time windows granularity levels. Second, addressing temporality describe authentic settings, heterogeneity crucial importance variable- models. Variable-based person-centred modelling, heterogeneous sample split homogeneous subsamples, suggested as solution. Our conjecture illustrated an application dispositional analytics, describing over eight-week full module 2,360 students.