Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/2253
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dc.contributor.authorBlikstein, Paulo
dc.contributor.authorWorsley, Marcelo
dc.contributor.authorSherin, Bruce
dc.contributor.authorBaker, Ryan
dc.contributor.authorBerland, Matthew
dc.contributor.authorMartin, Taylor
dc.contributor.authorRoll, Ido
dc.contributor.authorAleven, Vincent
dc.contributor.authorKoedinger, Ken
dc.contributor.authorHershkovitz, Arnon
dc.date.accessioned2020-01-08T16:50:45Z
dc.date.accessioned2020-01-08T22:03:44Z-
dc.date.available2020-01-08T16:50:45Z
dc.date.available2020-01-08T22:03:44Z-
dc.date.issued2012-07
dc.identifier.citationBlikstein, P., Worsley, M., Sherin, B., Baker, R., Berland, M., Martin, T., Roll, I., Aleven, V., Koedinger, K., & Hershkovitz, A. (2012). Building Bridges between Learning Analytics, Educational Data Mining and Core Learning Sciences Perspectives. In van Aalst, J., Thompson, K., Jacobson, M. J., & Reimann, P. (Eds.), The Future of Learning: Proceedings of the 10th International Conference of the Learning Sciences (ICLS 2012) – Volume 2, Short Papers, Symposia, and Abstracts (pp. 134-141). Sydney, NSW, AUSTRALIA: International Society of the Learning Sciences.en_US
dc.identifier.urihttps://doi.dx.org/10.22318/icls2012.2.134
dc.identifier.urihttps://repository.isls.org//handle/1/2253-
dc.description.abstractDespite the exponential growth of the research on Learning Analytics (LA) and Educational Data Mining (EDM) over the last few years, the work has been still distant from the core Learning Sciences methods, theoretical constructs, and literature. At the same time, over the last 15 years, Learning Sciences as a field has been quite innovative, eclectic, and effective in incorporating new methodological stances, such as micro-genetic methods, micro- ethnographies, and design-based research. It seems that the time has come to build sound connections between these traditions. The goal of this symposium is to bring together researchers coming from different academic perspectives, to explore and examine common LA/EDM methodological and theoretical threads with wide applicability within the Learning Sciences. The papers presented explore text mining in clinical interviews, moment-by- moment learning curves and traces, data mining of programming logs, and cognitive tutors, representing the main perspectives and methodological approaches in the field.en_US
dc.language.isoenen_US
dc.publisherInternational Society of the Learning Sciences (ISLS)en_US
dc.titleBuilding Bridges between Learning Analytics, Educational Data Mining and Core Learning Sciences Perspectivesen_US
dc.typeSymposiaen_US
Appears in Collections:ICLS 2012

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