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dc.contributor.authorRuipérez-Valiente, José A
dc.contributor.authorJenner, Matt
dc.contributor.authorStaubitz, Thomas
dc.contributor.authorLi, Xitong
dc.contributor.authorRohloff, Tobias
dc.contributor.authorHalawa, Sherif
dc.contributor.authorTurro, Carlos
dc.contributor.authorCheng, Yuan
dc.contributor.authorZhang, Jiayin
dc.contributor.authorDespujol, Ignacio
dc.contributor.authorReich, Justin
dc.date.accessioned2022-08-11T17:37:38Z
dc.date.available2022-08-11T17:37:38Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/144317
dc.description.abstract© 2020 Association for Computing Machinery. Massive Open Online Courses (MOOCs) have opened new educational possibilities for learners around the world. Most of the research and spotlight has been concentrated on a handful of global, English-language providers, but there are a growing number of regional providers of MOOCS in languages other than English. In this work, we have partnered with thirteen MOOC providers from around the world. We apply a multi-platform approach generating a joint and comparable analysis with data from millions of learners. This allows us to examine learning analytics trends at a macro level across various MOOC providers, with a goal of understanding which MOOC trends are globally universal and which of them are context-dependent. The analysis reports preliminary results on the differences and similarities of trends based on the country of origin, level of education, gender and age of their learners across global and regional MOOC providers. This study exemplifies the potential of macro learning analytics in MOOCs to understand the ecosystem and inform the whole community, while calling for more large scale studies in learning analytics through partnerships among researchers and institutions.en_US
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3375462.3375482en_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.titleMacro MOOC learning analytics: exploring trends across global and regional providersen_US
dc.typeArticleen_US
dc.identifier.citationRuipérez-Valiente, José A, Jenner, Matt, Staubitz, Thomas, Li, Xitong, Rohloff, Tobias et al. 2020. "Macro MOOC learning analytics: exploring trends across global and regional providers." ACM International Conference Proceeding Series.
dc.contributor.departmentMassachusetts Institute of Technology. Program in Comparative Media Studies/Writing
dc.relation.journalACM International Conference Proceeding Seriesen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-08-11T17:28:01Z
dspace.orderedauthorsRuipérez-Valiente, JA; Jenner, M; Staubitz, T; Li, X; Rohloff, T; Halawa, S; Turro, C; Cheng, Y; Zhang, J; Despujol, I; Reich, Jen_US
dspace.date.submission2022-08-11T17:28:05Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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