Abstract
Social media – with its collaborative and interactive functionalities – is an ideal platform for collaboration. Several teams were asked to create material using a content management system. Log records were analyzed to measure group and individual participation. Direct and indirect measures of involvement are used as predictor variables. A model is proposed that uses system-tracked data to forecast team performance.
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Goode, W., Caicedo, G. (2014). Online Collaboration: Individual Involvement Used to Predict Team Performance. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. Technology-Rich Environments for Learning and Collaboration. LCT 2014. Lecture Notes in Computer Science, vol 8524. Springer, Cham. https://doi.org/10.1007/978-3-319-07485-6_40
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DOI: https://doi.org/10.1007/978-3-319-07485-6_40
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