Implicit and Explicit Emotions in MOOCs

Munira Syed

Abstract:

Understanding the affect expressed by learners is essential
for enriching the learning experience in Massive Open Online Courses (MOOCs). However, online learning environments, especially MOOCs, pose several challenges in understanding the different types of affect experienced by a
learner. In this paper, we define two categories of emotions,
explicit emotions as those collected directly from the student through self-reported surveys, and implicit emotions as
those inferred unobtrusively during the learning process. We
also introduce positivity as a measure to study the valence
reported by students chronologically, and use it to derive insights into their emotion patterns and their association with
learning outcomes. We show that implicit and explicit emotions expressed by students within the context of a MOOC
are independent of each other, however, they correlate better
with students’ behavior compared to their valence.