Dissertation
TECHNOLOGY-ASSISTED VOCABULARY LEARNING FOR EFL LEARNERS
Washington State University
Doctor of Philosophy (PhD), Washington State University
01/2021
DOI:
https://doi.org/10.7273/000006449
Handle:
https://hdl.handle.net/2376/119177
Abstract
This dissertation explores technology-assisted vocabulary learning for EFL learners. The first study investigated the effects of four subtitle modes on the listening comprehension of TED (Technology, Entertainment, Design) talks and academic vocabulary learning of intermediate and advanced English as foreign language (EFL) learners in China. The transition chapter between the two studies highlighted some areas where the first study did not assess, presenting a call for conducting a meta-analysis to fill the gaps in those areas. The second study reviewed research between 2012 and 2018 focused on technology-assisted second language (L2) vocabulary learning for English as a foreign language (EFL) learner. A total of 45 studies of 2,374 preschool-to-college EFL students contributed effect sizes to this meta-analysis. Moderator analysis results highlight several variables—namely, device type, game condition, setting, test format, and reported reliability—affecting the effectiveness of vocabulary learning. Specifically, advantages were found for mobile devices and on-the-move learning, suggesting that L2 vocabulary learning may be most efficient when students use mobile phones and are not restricted by classroom settings. These variables should be considered when planning instruction in technology-assisted L2 vocabulary learning. Overall, this dissertation gives insight to the technology-assisted vocabulary learning for EFL learners.
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Details
- Title
- TECHNOLOGY-ASSISTED VOCABULARY LEARNING FOR EFL LEARNERS
- Creators
- Tao Hao
- Contributors
- yuliya Ardasheva (Advisor)Tom Salsbury (Advisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Teaching and Learning, Department of
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Publisher
- Washington State University
- Number of pages
- 104
- Identifiers
- 99900591957001842
- Language
- English
- Resource Type
- Dissertation