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.

翻译：本文提出了一种多模态学习分析领域的方法。在此方法框架下，我们开发了一款用于可视化与分析在线课程学习过程中采集的眼动数据的工具。该工具被命名为VAAD（视觉注意力分析仪表板的英文首字母缩写）。这些眼动数据通过眼动仪采集，并经过后续处理与可视化以支持解读。该工具旨在通过促进数据可视化，对不同学习者群体间的差异与学习模式进行描述性分析。此外，它还集成了一个能够预测学习者在学习过程中活动的预测模块。因此，VAAD具备从描述性与预测性双重视角为在线学习行为提供有价值洞见的潜力。