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Martinez-Maldonado, Roberto; Gaševic, Dragan; Echeverria, Vanessa; Fernandez Nieto, Gloria; Swiecki, Zachari; Buckingham Shum, Simon – Journal of Learning Analytics, 2021
Using data to generate a deeper understanding of collaborative learning is not new, but automatically analyzing log data has enabled new means of identifying key indicators of effective collaboration and teamwork that can be used to predict outcomes and personalize feedback. Collaboration analytics is emerging as a new term to refer to…
Descriptors: Learning Analytics, Cooperative Learning, Validity, Case Studies