2020
DOI: 10.1017/s0272263120000091
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Young Learners’ Processing of Multimodal Input and Its Impact on Reading Comprehension

Abstract: Theories of multimedia learning suggest that learners can form better referential connections when verbal and visual materials are presented simultaneously. Furthermore, the addition of auditory input in reading-while-listening conditions benefits performance on a variety of linguistic tasks. However, little research has been conducted on the processing of multimedia input (written text and images) with and without accompanying audio. Eye movements were recorded during young L2 learners’ (N = 30) processing of… Show more

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Cited by 39 publications
(41 citation statements)
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“…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: 77%
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“…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: 77%
“…First, it illustrates how different data-collection techniques ranging from paperand-pencil tests (e.g., comprehension or vocabulary tests), interviews, or questionnaires (e.g., on language exposure) to more recent techniques such as eye-tracking can be used to investigate different components of L2 learning from multimodal input. More particularly, the special issue provides interesting examples of fine-grained (Pujadas & Muñoz, 2020) and multimodal comprehension tests (Pellicer-Sánchez et al, 2020). 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).…”
Section: Methodological Contributionmentioning
confidence: 99%
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