Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/514
Title: Building a Team Leadership Index Through Computational Methods
Authors: Xie, Kui
Di Tosto, Gennaro
Lu, Lin
Issue Date: Jul-2018
Publisher: International Society of the Learning Sciences, Inc. [ISLS].
Citation: Xie, K., Di Tosto, G., & Lu, L. (2018). Building a Team Leadership Index Through Computational Methods. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 2. London, UK: International Society of the Learning Sciences.
Abstract: To help monitoring and controlling the latent social dynamics associated with leadership, we test a methodological approach that makes use of computational techniques to mine the content of online communications and analyze group structure to identify students who behave as leaders. The results allow us to quantify each individual's contribution and summarize their engagement in the form of a leadership index. The proposed methodology is fully automated and has the potential to be easily replicable. The summary offered by the leadership index is intended as actionable information that can guide just-in-time interventions to help sustain student engagement.
URI: https://doi.dx.org/10.22318/cscl2018.905
https://repository.isls.org//handle/1/514
Appears in Collections:ICLS 2018

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