Generating incidental word-learning tasks via topic-based and load-based profiles

Haoran XIE, Di ZOU*, Raymond Y.K. LAU, Fu Lee WANG, Tak-Lam WONG

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

36 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number7325205
Pages (from-to)60-70
Number of pages11
JournalIEEE Multimedia
Volume23
Issue number1
Early online date11 Nov 2015
DOIs
Publication statusPublished - Jan 2016
Externally publishedYes

Keywords

  • incidental word learning
  • involvement load
  • learner profile
  • personalization
  • social media

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