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While open-ended and tinkering-based learning environments offer considerable support for developing STEM-based reasoning and collaboration skills, understanding how and when learners are engaged in productive or unproductive exploration is a pressing challenge. This study examines how the use of a Hidden Markov Model reveals when learners participating at an interactive multi-touch exhibit (named Oztoc) successfully transition from persistent unproductive to productive states in their tinkering. Using interaction analysis and the Divergent Collaborative Learning Mechanisms framework (DCLM), we explore how specific divergent collaborative interactions support these transitions. We conclude with the important role that multi-lens approaches can play in understanding complex learning interactions with large datasets in divergent-inquiry settings and the potential for these approaches in providing real-time supports.
Mike Tissenbaum, Massachusetts Institute of Technology
Vishesh Kumar, University of Wisconsin - Madison
Matthew W. Berland, University of Wisconsin - Madison