  In this paper, we present an approach in the Multimodal Learning Analytics
field. Within this approach, we have developed a tool to visualize and analyze
eye movement data collected during learning sessions in online courses. The
tool is named VAAD, an acronym for Visual Attention Analysis Dashboard. These
eye movement data have been gathered using an eye-tracker and subsequently
processed and visualized for interpretation. The purpose of the tool is to
conduct a descriptive analysis of the data by facilitating its visualization,
enabling the identification of differences and learning patterns among various
learner populations. Additionally, it integrates a predictive module capable of
anticipating learner activities during a learning session. Consequently, VAAD
holds the potential to offer valuable insights into online learning behaviors
from both descriptive and predictive perspectives.
