Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/761
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dc.contributor.authorHuang, Joey
dc.contributor.authorGomoll, Andrea Sarah
dc.contributor.authorTolar, Erin
dc.contributor.authorSilver, Cindy Hmelo
dc.contributor.authorSabanovic, Selma
dc.date.accessioned2018-11-04T23:35:55Z
dc.date.accessioned2018-11-04T22:41:42Z-
dc.date.available2018-11-04T23:35:55Z
dc.date.available2018-11-04T22:41:42Z-
dc.date.issued2018-07
dc.identifier.citationHuang, J., Gomoll, A. S., Tolar, E., Silver, C. H., & Sabanovic, S. (2018). Visualizing Complex Classrooms Through Real Time Observations. 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 3. London, UK: International Society of the Learning Sciences.en_US
dc.identifier.urihttps://doi.dx.org/10.22318/cscl2018.1609
dc.identifier.urihttps://repository.isls.org//handle/1/761-
dc.description.abstractAnalyzing video data is a complex problem for social science researchers. This study explored the use of an analytical visualization method to support the process of narrowing a video data corpus—focusing on meaningful moments for further qualitative analysis. We used the real-time observational coding tool to examine students’ activities and engineering design practices in a STEM curriculum. The findings suggest that using this tool supports time-efficient analyses of large corpuses of video data.en_US
dc.language.isoenen_US
dc.publisherInternational Society of the Learning Sciences, Inc. [ISLS].en_US
dc.titleVisualizing Complex Classrooms Through Real Time Observationsen_US
dc.typeBook chapteren_US
Appears in Collections:ICLS 2018

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