Preparations for Multimodal Analytics of an Enactive Critical Thinking Episode

Abstract

Multimodal analytics provides a different perspective to understand and characterise learning tasks and potentially model the process. However, the logistics and the analysis process are often cumbersome to easily adopt the approach. We had earlier developed a platform that enables us to synchronise learning environment interaction data and signal streams from various physiological sensors. Also a framework was proposed that looked at critical thinking as a constituent of its interactions and developed an e mbodied cognition narrative. In this study we used ENaCT, the online critical thinking task environment and studied an episode of critical thinking that a participant attempted in it. We collected physiological data, specifically signals from EEG and GSR s ensors along with the interaction logs within the ENaCT environment. We present an initial analysis of the multimodal data.