Previous literature has shown that voicing contrast is a difficult feature for Chinese-English emergent bilingual learners of L3 Spanish (Bravo Diaz, 2020; Chen, 2007; Zhang, 2022). The production of voicing contrast in stops has been broadly investigated in second and third language studies (e.g., Zampini, 1998; Llama, 2010; Wrembel, 2014), but…

The objective of this study was to examine in what ways and to what extent preschoolers (5-6 years of age) manifest early Engineering Habits of Mind (EHoM) while engaging in an open-ended problem-solving construction task. The study comprised 228 children (120 boys and 108 girls). The study implemented a quantitative approach. The main research…

Willingness to communicate (WTC) research has recently witnessed a paradigm shift with the more recent studies looking at the shifting and dynamic nature of the variable. A growing body of literature has interpreted such dynamicity from a complex dynamic systems (CDS) perspective. The theory of CDS has four basic properties, one of which, and the…

There has been considerable debate in the literature about the relative merits of information processing versus dynamical approaches to understanding cognitive processes. In this article, we explore the relationship between these two styles of explanation using a model agent evolved to solve a relational categorization task. Specifically, we…

Willingness to communicate (WTC) has recently been researched as a dynamic variable, with some investigations viewing it as a complex dynamic system (CDS). One important property associated with CDS is the notion of attractor states, which are characterized by stable patterns of behavior. The present study employed an idiodynamic method to monitor…

This study examines the interactions between three vocalic subsystems of multilingual speakers and explores the role language status might play in explaining variability across them. Eight 14-year-olds raised in Germany, who had learnt English at school for 6 years and Polish for 1 year, participated in the study. They were divided into three…

Human participants and recurrent ("connectionist") neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular ("strong") classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the…