Temporal Pathways to Learning: How Learning Emerges in an Open-ended Collaborative Activity

We employ a multimodal Hidden Markov Model (HMM) based methodology to investigate the temporal learning processes of two types of learners that have learning gains and a type that does not have learning gains in an open-ended collaborative learning activity.
We make use of our open-source dataset. We consider log data, speech behavior, affective states and gaze patterns for each team for time windows of 10 seconds in a non-incremental format.

Installation

The libraries we use for this methodology are listed in requirements.txt.

Structure

• src : contains an analysis notebook for each of the learner types.
• results : contains the reference result notebooks referred to in the paper.