Wait-learning: Leveraging conversational dead time for second language education
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Miller_Wait-learning.pdf
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221.22 KB
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Author(s)
Guo, Philip J.
Miller, Robert C.
Cai, Carrie Jun
Glass, James R.
Date Issued
April 2014
Journal
Proceedings of the extended abstracts of the 32nd annual ACM conference on Human factors in computing systems (CHI EA '14)
Publisher
Association for Computing Machinery (ACM)
Citation
Carrie 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.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/2559206.2581183
