2020
DOI: 10.1017/s0272263120000108
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Promoting Grammatical Development Through Captions and Textual Enhancement in Multimodal Input-Based Tasks

Abstract: This study assessed the extent to which captions, textually unenhanced and enhanced, can draw learners’ attention to and promote the acquisition of a second language (L2) grammatical construction. A pretest–posttest–delayed posttest experimental design was employed. Seventy-two Korean learners of English were randomly assigned to an enhanced captions group, an unenhanced captions group, and a no captions group. Each group completed a series of treatment tasks, during which they watched news clips under their r… Show more

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Cited by 40 publications
(42 citation statements)
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“…Second, this special issue corroborates the beneficial impact of captioned video on L2 learning (Lee & Révész, 2020;Wisnieska & Mora, 2020) and provides additional evidence to reject the redundancy principle of the multimedia learning theory in the context of L2 learning. In addition, it sheds new light on the impact of L2 text on learners' auditory processing of the input.…”
Section: Theoretical Contributionsupporting
confidence: 60%
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“…Second, this special issue corroborates the beneficial impact of captioned video on L2 learning (Lee & Révész, 2020;Wisnieska & Mora, 2020) and provides additional evidence to reject the redundancy principle of the multimedia learning theory in the context of L2 learning. In addition, it sheds new light on the impact of L2 text on learners' auditory processing of the input.…”
Section: Theoretical Contributionsupporting
confidence: 60%
“…It also highlights the role of tests that target different aspects of L2 knowledge development (e.g., Wisnieska & Mora, 2020) and that reveal partial learning gains (e.g., Feng & Webb, 2020;Puimège & Peters, 2020). We also find two examples of how eye-tracking can be used to study multimodal input and which types of eye-tracking metrics we might need to consider (Lee & Révész, 2020;Pellicer-Sánchez et al, 2020). While eye-tracking is a particularly interesting technique to study multimodal input because it provides an online unobtrusive account of learners' attention allocation, the multimodal character of the input also has a number of implications for data collection procedures and analyses.…”
Section: Methodological Contributionmentioning
confidence: 81%
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