Tool: M2LADS

M2LADS stands for System for Generating Multimodal Learning Analytics Dashboards. It is a web-based system designed to integrate, synchronize, visualize, and analyze multimodal data collected during online learning sessions, particularly in MOOC environments such as edX.
The system combines biometric data (e.g., attention and brain wave signals via EEG, heart rate from smartwatches, eye movements from eye trackers, and multiple webcam video feeds) with behavioral data (e.g., platform interactions, activity logs, and test scores), generating individualized dashboards for each learner. This provides a comprehensive and contextualized view of the learning experience.
M2LADS consists of three main modules: data processing, data management, and data visualization. The processing module handles signal cleaning, synchronization, and alignment with learning activities. The management module stores all data securely and anonymously. The visualization module creates interactive dashboards using the Dash framework, presenting graphs of attention, meditation, heart rate, and neural activity, synchronized with video streams from the session.
A distinctive feature of M2LADS is that it organizes all data according to the learner’s current activity (e.g., watching a video, completing an assignment), allowing researchers and instructors to analyze how each activity influences learners' cognitive and emotional states. The system also includes analysis to reveal signal correlations, detect peaks in signals, and compare pretest and posttest scores for progress evaluation.
In summary, M2LADS represents a significant advancement in multimodal learning analytics, enabling a more accurate, data-informed understanding of learner behavior.

Author: Álvaro Becerra