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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.