Towards Mobile Multimodal Learning Analytics

This document discusses conducting learning analytics on smartphones. It notes that smartphones have advantages for learning analytics like being unobtrusive, suitable for different interaction paradigms, having constant connectivity, and enriching logged data. However, there are also challenges like limitations of smartphones regarding processing power, storage, and battery life. Other challenges include the uncontrolled context of smartphone use involving mobility and varying conditions, as well as privacy concerns that need to be addressed through techniques like cloud computing, sensor fusion, and keeping only necessary information. The document examines using the front-facing camera, microphone, touch interactions, and app usage on smartphones for multimodal learning analytics and sensor fusion approaches.