What is Multimodal Learning Analytics (MMLA)

Learning analytics (LA) identify patterns and insights to inform the teaching and learning process based on opportunities with new forms of digital data from students' creative and collaborative learning activities, for example in computer-supported collaborative learning (CSCL) and educational digital storytelling (EDS). Multimodal learning analytics (MMLA) offer opportunities to enhance students' outcomes in collaborative learning and can be used by both teachers and learners. Teachers can guide and regulate their students' activities through actionable knowledge; students can externalize and communicate their thoughts, feelings, and experiences, and be inspired by their teachers. Because of the discrepancies in the ways EDS can be structured and evaluated, this chapter proposes MMLA for EDS based on the hero's journey clock to inform, measure, and raise students' awareness, learning processes, active participation, and engagement in their collaborative learning.