Framing the Future of Multimodal Learning Analytics

Multimodal Learning Analytics (MMLA) constitutes a broad set of research goals, approaches, and methodologies. Researchers have embarked upon projects that advance theory, improve practice, and offer new forms of interactivity. This plurality has been an important contributor to the growth of MMLA and will undoubtedly continue to propel the field forward. Alongside research in these individual paradigms, this chapter will suggest that one aspect of future MMLA research is integration across paradigms. Furthermore, it highlights opportunities to more thoroughly consider questions of ethics across the different components of the MMLA research pipeline. Finally, the chapter notes some ways that future research in MMLA might contribute to new conceptualizations of learning that hinge on some of the capabilities and affordances of multimodal data and multimodal analytics.