  Online distance learning is highly learner-centred, requiring different
skills and competences from learners, as well as alternative approaches for
instructional design, student support, and provision of resources. Learner
autonomy and self-regulated learning (SRL) in online learning settings are
considered key success factors that predict student performance. SRL comprises
processes of planning, monitoring, action and reflection according to
Zimmerman. And typically focuses on three key features of learners: (1) use of
SRL strategies, (2) responsiveness to self-oriented feedback about learning
effectiveness, and (3) motivational processes. SRL has been identified as
having a direct correlation with students success, including improvements in
grades and the development of relevant skills and strategies. Such skills and
strategies are needed to become a successful lifelong learner. This chapter
introduces a Mobile Multimodal Learning Analytics approach (MOLAM). I argue
that the development of student Self-Regulated Learning would benefit from the
adoption of this approach, and that its use would allow continuous measurement
and provision of in-time support of student SRL in online learning contexts.

Computers and Society