Studies in Second Language Acquisition最新文献

Multilingualism in the context of academic publishing involves beliefs and actions manifested through publications in multiple languages. However, a systematic analysis of how academic journals practice multilingualism has been scant. Therefore, the present study analyzed how indexed journals of applied linguistics promote and practice multilingualism following their scopes and language policies (LPs). Initially, 67 journals underwent screening based on their “aims and scope,” resulting in 11 journals that actively promoted multilingualism. Employing a critical discourse analysis (CDA) framework, the main analysis focused on the assumptions embedded within the journals’ LPs. The findings indicated an incongruity between the journals’ stated commitment and their practices of multilingualism. Specifically, all the journals mandated submissions exclusively in English with implicit biases toward native speakerism. The study underscores the need for a collective effort within and beyond the applied linguistics community to address linguistic biases and for more equitable and inclusive academic publishing practices.

Digital educational game-based apps can be effective in helping young children develop language skills, particularly when paired with formal instruction. However, we need to know more about how educational games benefit learning in the absence of formal instruction, given children’s proficiency with and willingness to use mobile devices anytime, anywhere. This study uses a randomized controlled trial design to investigate the impact of a digital app—ABCmouse English—on L2 learning of seven- and eight-year-old Japanese children over a 16-week period. Pre- and post-assessments of the children’s English proficiency, together with an analysis of when and how they played with the app, were used to shed light on the relationship between the children’s in-app game choices and their language learning outcomes. Surveys and interviews with parents provide qualitative insights and information about the experiences of children and their families while using the app and its impact on their development as language learners.

A growing body of evidence demonstrates that individual differences in declarative memory may be an important predictor of second language (L2) abilities. However, the evidence comes from studies using different declarative memory tasks that vary in their reliance on verbal abilities and task demands, which preclude estimating the size of the relationship between declarative memory and L2 learning. To address these concerns, we examined the relationship between verbal and nonverbal declarative memory abilities within the same task while controlling for task demands and stimulus modality, to estimate the upper bound of the relationship between verbal and nonverbal declarative memory. Results indicate that when task demands and stimulus modality are controlled, verbal and nonverbal declarative memory abilities shared a medium-to-large amount of underlying variance. However, future studies should exercise caution in appraising associations between declarative memory abilities and L2 learning until a more precise understanding of the underlying mechanisms is achieved.

Usage-based theory has proposed that learning of linguistic constructions is facilitated by input that contains few high-frequency exemplars, in what is known as a skewed (or Zipfian) input distribution. Early empirical work provided support to this idea, but subsequent L2 research has provided mixed findings. However, previous approaches have not explored the impact that cognitive traits (e.g., working memory) have on the effectiveness of skewed or balanced input. The experiment reported here tested learners’ ability to develop new L2 categories of adjectives that guide lexical selection in Spanish verbs of “becoming.” The results showed that, when explicit rules are provided, low-working memory learners benefitted from reduced variability in skewed input, while high-working memory individuals benefitted from balanced input, which better allows for rule-based hypothesis testing. The findings help clarify the mixed findings in previous studies and suggest a way forward for optimizing the L2 input based on individual traits.