2021
DOI: 10.1017/s0272263120000686
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Learning Condition, Linguistic Complexity, and First Language Transfer in Semiartificial Language Learning

Abstract: This study explored the interaction between learning conditions, linguistic complexity, and first language (L1) syntactic transfer in semiartificial grammar learning by conceptually replicating and extending Tagarelli et al. (2016). We changed the L1 background, elicited production data during debriefing, and added a binary mixed-effects logistic regression analysis to compare variability at learner and item levels with group-level variation on exposure condition, linguistic complexity, and their interaction. … Show more

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Cited by 5 publications
(7 citation statements)
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“…However, when the rule to be learned is more difficult, both the explicit and incidental conditions seem to produce similar learning levels. These results are similar to those reported by Tagarelli et al (2016) and Gao and Ma (2021). We can conclude that the probability of explicitly detecting patterns would decrease for highly difficult rules, and learning would therefore depend on procedural memory; this factor, in turn, is not dependent on the nature of the learning task, hence the explicit advantages disappear (see Ullman, 2016, for similar conclusions).…”
Section: Discussionsupporting
confidence: 88%
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“…However, when the rule to be learned is more difficult, both the explicit and incidental conditions seem to produce similar learning levels. These results are similar to those reported by Tagarelli et al (2016) and Gao and Ma (2021). We can conclude that the probability of explicitly detecting patterns would decrease for highly difficult rules, and learning would therefore depend on procedural memory; this factor, in turn, is not dependent on the nature of the learning task, hence the explicit advantages disappear (see Ullman, 2016, for similar conclusions).…”
Section: Discussionsupporting
confidence: 88%
“…This was observed when participants were learning the less difficult dative rule (Experiments 1 and 2), but it was not evident when participants learned the more difficult pseudocleft rule (Experiment 2) where explicit and incidental strategies produced similar levels of learning. This interaction between learning condition and rule difficulty has also been reported by Tagarelli et al (2016) and Gao and Ma (2021). In their experiment, they introduced three different rules varying in difficulty and manipulated the learning context (intentional/incidental).…”
Section: Role Of Learning Conditionssupporting
confidence: 61%
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“…In contrast, the latter two refer to the internal learning process that is engaged while acquiring new knowledge. The distinction can account for previous findings showing that participants can engage both explicit and implicit learning processes and can acquire both explicit and implicit knowledge irrespective of the conditions to which they are exposed [11,27,[32][33][34][35]. In accordance with this distinction, the terms intentional and incidental will be used with reference to the environmental conditions under which learning is taking place without making any assumptions about the underlying language processes.…”
Section: Incidental and Intentional L2 Learningmentioning
confidence: 82%
“…Cummins ' (1989) Interdependence Hypothesis suggests that knowledge on languages constantly gives significant influence on the target language, providing that learners' motivation is high. As Kecskés and Papp (2000) put, this research discipline explores how Lx affects Ly development and Ly to Lx development accordingly for numerous purposes, such as, language acquisition and bilingualism (Zhou et al, 2020), linguistics complexity (Gao & Ma, 2021), anxiety and selfefficacy beliefs (Bárkányi, 2021), and language fairness (Birk & Kausel, 2016). These studies confirm that knowledge of a certain language influences on TL in various domains.…”
Section: Introductionmentioning
confidence: 78%