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dc.contributor.authorLopez, Glenn
dc.contributor.authorSeaton, Daniel T.
dc.contributor.authorAng, Andrew
dc.contributor.authorTingley, Dustin
dc.contributor.authorChuang, Isaac
dc.date.accessioned2021-11-09T12:37:43Z
dc.date.available2021-11-09T12:37:43Z
dc.date.issued2017-04-12
dc.identifier.urihttps://hdl.handle.net/1721.1/137846
dc.description.abstract© 2017 ACM. The size and complexity of MOOC data present overwhelming challenges to many institutions. This paper details the functionality of edx2bigquery -An open source Python package developed by Harvard and MIT to ingest and report on hundreds of MITx and HarvardX course datasets from edX, making use of Google BigQuery to handle multiple terabytes of learner data. For this application, we find that Google BigQuery provides ease of use in loading the multi-faceted MOOC datasets and near real-Time interactive querying of data, including large clickstream datasets; moreover, we are able to provide flexible research and reporting dashboards, visualizing and aggregating data, by interfacing services associated with BigQuery. This framework makes it feasible for edx2bigquery to be open source, following standards which emphasize the importance of data products that transcend a particular data science platform and allow teams with diverse backgrounds to interact with data. edx2bigquery is being adopted by other institutions with an aim toward future collaboration.en_US
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3051457.3053980en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther repositoryen_US
dc.titleGoogle BigQuery for Educationen_US
dc.title.alternativeFramework for Parsing and Analyzing edX MOOC Dataen_US
dc.typeArticleen_US
dc.identifier.citationLopez, Glenn, Seaton, Daniel T., Ang, Andrew, Tingley, Dustin and Chuang, Isaac. 2017. "Google BigQuery for Education."
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-06-17T20:35:38Z
dspace.date.submission2019-06-17T20:35:39Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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