Wait-Learning: Leveraging Wait Time for Second Language Education
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Miller_Wait Learning.pdf
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1.19 MB
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Adobe PDF
Checksum (MD5)
1e543c0dd927ad19042c2e6b77e2563b
Author(s)
Cai, Carrie Jun
Guo, Philip J
Glass, James R
Miller, Robert C
Date Issued
April 2015
Journal
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15
Publisher
Association for Computing Machinery
Citation
Cai, Carrie J., Philip J. Guo, James R. Glass, and Robert C. Miller. “Wait-Learning: Leveraging Wait Time for Second Language Educationg.” Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI ’15 (2015).
Version
Author's final manuscript
Abstract
Competing priorities in daily life make it difficult for those with a casual interest in learning to set aside time for regular practice. In this paper, we explore wait-learning: leveraging brief moments of waiting during a person's existing conversations for second language vocabulary practice, even if the conversation happens in the native language. We present an augmented version of instant messaging, WaitChatter, that supports the notion of wait-learning by displaying contextually relevant foreign language vocabulary and micro-quizzes just-in-time while the user awaits a response from her conversant. Through a two week field study of WaitChatter with 20 people, we found that users were able to learn 57 new words on average during casual instant messaging. Furthermore, we found that users were most receptive to learning opportunities immediately after sending a chat message, and that this timing may be critical given user tendency to multi-task during waiting periods.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/2702123.2702267
