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EMOTION-LADEN TEXTS AND WORDS

THE INFLUENCE OF EMOTION ON VOCABULARY LEARNING FOR HERITAGE AND FOREIGN LANGUAGE LEARNERS

Published online by Cambridge University Press:  23 November 2021

Meagan Driver*
Affiliation:
Michigan State University, East Lansing, MI, USA
*
*Corresponding author. E-mail: driverme@msu.edu
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Abstract

This study takes a mixed-methods approach to explore the influence of emotion-laden (positive vs. negative vs. neutral) texts and words on vocabulary learning for Spanish heritage and foreign language learners. Participants (N = 121) were tasked with learning emotion-laden pseudowords embedded in three emotion-laden texts centered around themes of bilingualism, immigration, and identity. Form recognition, translation, and multiple-choice tests were designed to measure vocabulary recall and retention. Results from a mixed-effects modeling analysis showed that the neutral and negative emotion-laden texts predicted better vocabulary learning outcomes than the positive text for both HLLs and FLLs and that neutral words were learned best by all learners. Qualitative findings from open-ended questionnaires suggest emotional arousal as another influential affective factor in vocabulary learning for learners of diverse sociolinguistic backgrounds. Directions for future emotions research in SLA and pedagogical implications of socially relevant, emotion-laden material for vocabulary learning are discussed.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

TABLE 1. Participant background data across HLL and FLL groups

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TABLE 2. Mean lexical characteristics for emotion-laden English translation words

Figure 2

TABLE 3. Average immediate posttest scores by text and word type

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TABLE 4. Average delayed posttest scores by text and word type

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TABLE 5. Best-fitting model for vocabulary learning

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TABLE A.1 Lexical characteristics for neutral and positive and negative emotion-laden words*

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TABLE A.2 Pseudoword targets with their English translations

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