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Diagnosing collaboration in practice-based learning : Equality and Intra-individual variability of physical interactivity

Cukurova, Mutlu (author)
UCL, UCL Knowledge Lab, London, England
Luckin, Rose (author)
UCL, UCL Knowledge Lab, London, England
Millán, Eva (author)
Univ Malaga, Malaga, Spain
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Mavrikis, Manolis (author)
UCL, UCL Knowledge Lab, London, England
Spikol, Daniel (author)
Malmö högskola,Fakulteten för teknik och samhälle (TS)
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 (creator_code:org_t)
2017-09-05
2017
English.
In: Data Driven Approaches in Digital Education. - Cham : Springer. ; , s. 30-42
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Collaborative problem solving (CPS), as a teaching and learning approach, is considered to have the potential to improve some of the most important skills to prepare students for their future. CPS often differs in its nature, practice, and learning outcomes from other kinds of peer learning approaches, including peer tutoring and cooperation; and it is important to establish what identifies collaboration in problem-solving situations. The identification of indicators of collaboration is a challenging task. However, students physical interactivity can hold clues of such indicators. In this paper, we investigate two non-verbal indexes of student physical interactivity to interpret collaboration in practice-based learning environments: equality and intra-individual variability. Our data was generated from twelve groups of three Engineering students working on open-ended tasks using a learning analytics system. The results show that high collaboration groups have member students who present high and equal amounts of physical interactivity and low and equal amounts of intra-individual variability.

Keyword

collaborative learning
problem-solving
indexes of physical interaction
behaviour patterns

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Cukurova, Mutlu
Luckin, Rose
Millán, Eva
Mavrikis, Manoli ...
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