Wait-learning: Leveraging conversational dead time for second language education

Second-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...

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Bibliographic Details
Main Authors: Guo, Philip J. (Contributor), Miller, Robert C. (Contributor), Cai, Carrie Jun (Contributor), Glass, James R. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2014-09-26T17:33:00Z.
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Online Access:Get fulltext
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100 1 0 |a Guo, Philip J.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Cai, Carrie Jun  |e contributor 
100 1 0 |a Guo, Philip J.  |e contributor 
100 1 0 |a Glass, James R.  |e contributor 
100 1 0 |a Miller, Robert C.  |e contributor 
700 1 0 |a Miller, Robert C.  |e author 
700 1 0 |a Cai, Carrie Jun  |e author 
700 1 0 |a Glass, James R.  |e author 
245 0 0 |a Wait-learning: Leveraging conversational dead time for second language education 
260 |b Association for Computing Machinery (ACM),   |c 2014-09-26T17:33:00Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/90407 
520 |a Second-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. 
520 |a Lincoln Laboratory 
546 |a en_US 
655 7 |a Article 
773 |t Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems (CHI EA '14)