Influential factors of working adults' perceptions of mobile-assisted vocabulary learning with multimedia annotations

Ruofei ZHANG, Di ZOU

Research output: Contribution to journalArticlespeer-review

Abstract

With the development of technology-enhanced language learning, there have been increasingly more studies on mobile-assisted vocabulary learning with multimedia annotations. However, little research has been conducted to explore working adults' use of multimedia annotations in authentic mobile learning environments, investigate their perceptions of diverse types of multimedia annotations, or discuss the factors that may influence their perceptions of multimedia annotations. To fill in these research gaps, the researchers of this project developed a multimedia-annotation-enhanced vocabulary learning app, iWORDS, and invited 24 working adults in Hong Kong to learn vocabulary using this app. After experiencing mobile-assisted vocabulary learning with four types of multimedia annotations (i.e., the textual, the pictorial, the text-plus-GIF and the text-plus-video annotations), the participants were interviewed about their perceptions and preferences. The results indicated that working adults used textual annotations most frequently but showed strongest preference for text-plus-GIF annotations. Four factors, content quality, attractiveness, efficiency and cognitive stimuli, played important roles in influencing working adults' preferences and perceptions of multimedia annotations. Based on the research results, we proposed some suggestions for the development, selection and usage of multimedia annotations in mobile-assisted vocabulary learning. Copyright © 2020 Inderscience Enterprises Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)533-548
JournalInternational Journal of Mobile Learning and Organisation
Volume14
Issue number4
Early online date29 Oct 2020
DOIs
Publication statusPublished - 2020

Citation

Zhang, R., & Zou, D. (2020). Influential factors of working adults' perceptions of mobile-assisted vocabulary learning with multimedia annotations. International Journal of Mobile Learning and Organisation, 14(4), 533-548. doi: 10.1504/IJMLO.2020.110798

Keywords

  • Mobile-assisted learning
  • Multimedia learning
  • Technology-enhanced learning
  • Vocabulary learning
  • Computer-assisted language learning
  • Autonomy
  • App
  • Image
  • GIF
  • Multimedia annotations

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