Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/727
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dc.contributor.authorLuckin, Rose
dc.contributor.authorCukurova, Mutlu
dc.date.accessioned2018-11-04T23:35:55Z
dc.date.accessioned2018-11-04T22:41:15Z-
dc.date.available2018-11-04T23:35:55Z
dc.date.available2018-11-04T22:41:15Z-
dc.date.issued2018-07
dc.identifier.citationLuckin, R. & Cukurova, M. (2018). ERCHI: A Framework for Identifying Observable Signifiers of Student Engagement in Practice Based Learning to Inform the Design of Learning Analytics. 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/cscl2018.1549
dc.identifier.urihttps://repository.isls.org//handle/1/727-
dc.description.abstractAbstract. Practice-based learning activities with a focus on Science, Technology, Art, Math and Engineering (STEAM) are providing new opportunities for teaching these subjects. However, we lack widely accepted ways of assessing and monitoring these practices to inform educators and learners, and enable the provision of effective support. Here, we report the results from a study with 15 teenage students taking part in a 2-day Hack. We present the results from analysis of video data recording collaborative working between groups of students. The analysis of the video data is completed using the ERICAP analytical framework (Luckin et al., 2017) based on ecology of resources and interactive, constructive, active and passive concepts. The results illustrate the differences between students’ engagement with resources which might be utilized as signifiers of student success in similar learning environments.en_US
dc.language.isoenen_US
dc.publisherInternational Society of the Learning Sciences, Inc. [ISLS].en_US
dc.titleERCHI: A Framework for Identifying Observable Signifiers of Student Engagement in Practice Based Learning to Inform the Design of Learning Analyticsen_US
dc.typeBook chapteren_US
Appears in Collections:ICLS 2018

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