Promoting L2 acquisition of multiword units through textually enhanced audiovisual input
An eye-tracking study
Bibliographic Data
| ID | 11656232 |
|---|---|
| Authors | Eva Puimège (0000-0003-0406-846X, KU Leuven, corresponding author), Maribel Montero Pérez (0000-0002-0868-588X, Ghent University), Elke Peters (0000-0001-7273-3850, KU Leuven) |
| Year | 2021 |
| Volume | 39 |
| Issue | 2 |
| Pages | 471-492 |
| Publication date | 2021-10-11 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Second language Research (JOURNAL) |
| Journal identifiers | ISSN: 0267-6583 • E-ISSN: 1477-0326 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/02676583211049741 |
| OpenAlex | W3201285074 |
| Language | EN |
| Citations received | 19 |
| References cited | 49 |
This study examines the effect of textual enhancement on learners’ attention to and learning of multiword units from captioned audiovisual input. We adopted a within-participants design in which 28 learners of English as a foreign language (EFL) watched a captioned video containing enhanced (underlined) and unenhanced multiword units. Using eye-tracking, we measured learners’ online processing of the multiword units as they appeared in the captions. Form recall pre- and posttests measured learners’ acquisition of the target items. The results of mixed effects models indicate that enhanced items received greater visual attention, with longer reading times, less single word skipping and more rereading. Further, a positive relationship was found between amount of visual attention and learning odds: items fixated longer, particularly during the first pass, were more likely to be recalled in an immediate posttest. Our findings provide empirical support for the positive effect of visual attention on form recall of multiword units encountered in captioned television. The results also suggest that item difficulty and amount of attention were more important than textual enhancement in predicting learning gains
Cognitive psychology · Eye tracking · Foreign language · Linguistics · Mathematics education · Reading (process · Recall · Computer Science · Psychology · Subtitles and Audiovisual Media · Artificial Intelligence
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| Unique citing works | 19 |
|---|---|
| Citations per year | 4,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 19 |