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Title: Generating incidental word-learning tasks via topic-based and load-based profiles
Author(s): Xie, Haoran 
Wang, Philips Fu Lee 
Wong, Tak Lam 
Author(s): Zou, D.
Lau, R. Y. K.
Issue Date: 2016
Publisher: IEEE
Journal: IEEE MultiMedia 
Volume: 23
Issue: 1
Start page: 60
End page: 70
Compared to intentional word learning, incidental word learning better motivates learners, integrates development of more language skills, and provides richer contexts. The effectiveness of incidental word learning tasks can also be increased by employing materials that learners are more familiar with or interested in. Here, the authors present a framework to generate incidental word learning tasks via load-based profiles measured through the involvement load hypothesis, and topic-based profiles obtained from social media. They also conduct an experiment on real participants and find that the proposed framework promotes more effective and enjoyable word learning than intentional word learning. This article is part of a special issue on social media for learning.
DOI: 10.1109/MMUL.2015.91
CIHE Affiliated Publication: Yes
Appears in Collections:CIS Publication

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