Please use this identifier to cite or link to this item: https://repository.isls.org/handle/1/246
Title: Revealing Interaction Patterns Among Youth in an Online Social Learning Network Using Markov Chain Principles
Authors: Bishara, Sarah
Baltes, Jennifer
Hamid, Taha
Li, Taihua
Nacu, Denise C.
K.Martin, Caitlin
Gemmell, Jonathan
MacArthur, Chris
Raicu, Daniela
Pinkard, Nichole
Issue Date: Jul-2017
Publisher: Philadelphia, PA: International Society of the Learning Sciences.
Citation: Bishara, S., Baltes, J., Hamid, T., Li, T., Nacu, D. C., K.Martin, C., Gemmell, J., MacArthur, C., Raicu, D., & Pinkard, N. (2017). Revealing Interaction Patterns Among Youth in an Online Social Learning Network Using Markov Chain Principles In Smith, B. K., Borge, M., Mercier, E., and Lim, K. Y. (Eds.). (2017). Making a Difference: Prioritizing Equity and Access in CSCL, 12th International Conference on Computer Supported Collaborative Learning (CSCL) 2017, Volume 1. Philadelphia, PA: International Society of the Learning Sciences.
Abstract: The problem of the digital divide has shifted attention from access to inequities of participation and opportunities to develop 21st century skills in online learning platforms. In this paper, we explore Markov chain principles in a time-based probabilistic graphical approach to analyze a multi-year data set of log data generated by students from one urban middle school and coded using a framework aligned with 21st century learning activities. Results showed the efficacy of applying Markov chain principles in helping reveal similar and distinct usage patterns of the learners in this community across different time spans. This work has implications for the design and analysis of online learning platforms and for creating opportunities to help youth build 21st century skills using online learning platforms.
URI: https://repository.isls.org/handle/1/246
https://dx.doi.org/10.22318/cscl2017.43
Appears in Collections:CSCL 2017

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