Tool: M2LADS

M2LADS (System for Generating Multimodal Learning Analytics Dashboards) is a web-based tool designed to integrate, synchronize, visualize, and analyze multimodal data collected during computer-based learning sessions using biosensors. The system provides interactive dashboards that display a variety of biometric and behavioral metrics, offering detailed insights into students' cognitive and physical states.

The types of data visualized include EEG (electroencephalogram) signals for monitoring attention and brain activity, heart rate data, eye-tracking information to analyze visual attention, webcam recordings, and detailed activity logs. M2LADS is especially useful for data scientists, as it serves two main purposes: (1) providing a comprehensive view of participants' experiences by organizing data according to the tasks performed, and (2) synchronizing all biosignals and video recordings to facilitate the correction and relabeling of data in case of errors in activity information.

M2LADS was developed by the GHIA Group and BiDA-Lab at the Universidad Autónoma de Madrid (UAM)

Related Articles

• Becerra, A., Daza, R., Cobos, R., Morales, A., & Fierrez, J. (2025). M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards. arXiv preprint arXiv:2502.15363.
• Becerra, A., Daza, R., Cobos, R., Morales, A., & Fierrez, J. (2023, September). User experience study using a system for generating multimodal learning analytics dashboards. In Proceedings of the XXIII International Conference on Human Computer Interaction (pp. 1-2).
• Becerra, A., Daza, R., Cobos, R., Morales, A., Cukurova, M., & Fierrez, J. (2023, June). M2LADS: A System for Generating Multimodal Learning Analytics Dashboards. In 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 1564-1569). IEEE.

Author: Álvaro Becerra