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dc.contributor.authorGuo, Philip J.
dc.contributor.authorMiller, Robert C.
dc.contributor.authorCai, Carrie Jun
dc.contributor.authorGlass, James R.
dc.date.accessioned2014-09-26T17:33:00Z
dc.date.available2014-09-26T17:33:00Z
dc.date.issued2014-04
dc.identifier.isbn9781450324748
dc.identifier.urihttp://hdl.handle.net/1721.1/90407
dc.description.abstractSecond-language learners are often unable to find time for language practice due to constraints in their daily lives. In this paper, we examine how brief moments of waiting during a person's existing social conversations can be leveraged for second language practice, even if the conversation is exchanged in the first language. We present an instant messaging (IM) prototype, WaitChatter, that supports the notion of wait-learning by displaying contextually relevant foreign language vocabulary and micro-quizzes while the user awaits a response from her conversant. The foreign translations are displayed just-in-time in the context of the conversation to promote incidental learning. In a preliminary study of WaitChatter, we found that participants were able to integrate second language learning into their existing instant messaging activities, and that a particularly opportune time to embed foreign language elements may be immediately after the learner sends a chat message.en_US
dc.description.sponsorshipLincoln Laboratoryen_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2559206.2581183en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleWait-learning: Leveraging conversational dead time for second language educationen_US
dc.typeArticleen_US
dc.identifier.citationCarrie J. Cai, Philip J. Guo, James Glass, and Robert C. Miller. 2014. Wait-learning: leveraging conversational dead time for second language education. In CHI '14 Extended Abstracts on Human Factors in Computing Systems (CHI EA '14). ACM, New York, NY, USA, 2239-2244.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorCai, Carrie Junen_US
dc.contributor.mitauthorGuo, Philip J.en_US
dc.contributor.mitauthorGlass, James R.en_US
dc.contributor.mitauthorMiller, Robert C.en_US
dc.relation.journalProceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems (CHI EA '14)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsCai, Carrie J.; Guo, Philip J.; Glass, James; Miller, Robert C.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-3097-360X
dc.identifier.orcidhttps://orcid.org/0000-0001-9421-7128
dc.identifier.orcidhttps://orcid.org/0000-0002-0442-691X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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