2013
DOI: 10.1590/s1984-63982013005000002
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The dynamics of L2 vocabulary development: A case study of receptive and productive knowledge

Abstract: Many studies have shown that the transfer of receptive L2 vocabulary into production is far from linear, whether production is elicited by a task or spontaneous. The nature and causes of this gap between receptive and productive vocabulary knowledge have been widely debated. This article attempts a novel approach to this topic by investigating vocabulary knowledge development in a detailed case study. Four knowledge levels of ESL vocabulary are traced across time during a 36-week period of intensive exposure t… Show more

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Cited by 11 publications
(3 citation statements)
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“…Most longitudinal dynamic studies so far have aimed at investigating the trajectory of separate measures (cf. Larsen‐Freeman, ; Verspoor et al., , ) or the relations between these measures, such as precursor, competitive, or supportive (Caspi & Lowie, ; Chan et al., in press). For example, the modeling carried out by Lowie, Caspi, van Geert, and Steenbeek () on longitudinal data involved the following steps: observe the empirical data by means of visual inspection; hypothesize explicit parameters for initial conditions, precursor relationships, and other degrees of interaction among the measures; run simulations; and perform manual adjusting of the parameters until high correlations among the observed and modeled data are found, which can then confirm the hypothesized interaction among the measures.…”
Section: The Studymentioning
confidence: 99%
“…Most longitudinal dynamic studies so far have aimed at investigating the trajectory of separate measures (cf. Larsen‐Freeman, ; Verspoor et al., , ) or the relations between these measures, such as precursor, competitive, or supportive (Caspi & Lowie, ; Chan et al., in press). For example, the modeling carried out by Lowie, Caspi, van Geert, and Steenbeek () on longitudinal data involved the following steps: observe the empirical data by means of visual inspection; hypothesize explicit parameters for initial conditions, precursor relationships, and other degrees of interaction among the measures; run simulations; and perform manual adjusting of the parameters until high correlations among the observed and modeled data are found, which can then confirm the hypothesized interaction among the measures.…”
Section: The Studymentioning
confidence: 99%
“…The studies have shown that there is a great degree of variability in each learner in almost every measure from broad to specific (Verspoor et al 2017). We can also see that lexicon and syntax may compete even at advanced stages (Caspi & Lowie 2013;Penris & Verspoor 2017), and that similar learners, even identical twins in a similar context, will take different developmental paths (Chan et al 2015;Tilma 2014;Vyatkina 2012). The strong point of these longitudinal studies is that they show in detail how each individual develops over time and how variables interact over time within the same individual.…”
Section: Finding An Index Of Developmentmentioning
confidence: 92%
“…However, to date, few longitudinal empirical studies have connected this modeling approach with L2 FS learning (Lowie & Verspoor, 2015; Polat & Kim, 2013). Moreover, the limited number of studies mainly focused on individual words (Caspi & Lowie, 2013; Churchill, 2007). As is well known, vocabulary learning also involves multi-word sequences.…”
Section: Literature Reviewmentioning
confidence: 99%