Language choice and code-switching are commonplaces for peer interaction among bilingual children from various language backgrounds in Hong Kong. However, few studies concern these linguistic practices of immigrant children proficient in Mandarin and English. This study adopted a qualitative research approach to investigate three Mandarin-English preschoolers’ language choice and code-switching by analyzing their conversations in interaction with a Cantonese–English bilingual peer under the framework of translanguaging. The findings reveal that these Mandarin-English preschoolers’ priority language for interaction is English, indicating that choosing a shared language is an essential communicative strategy for integrating with their Cantonese–English peers. The factors for those language choices include social environment, interlocutor’s ability, and sense of identity and belonging. Both inter-sentential and intra-sentential code-switching are adopted in verbal interaction. However, intra-sentential code-switching occurs more frequently and with greater diversity in Mandarin-based sentences, where nouns are the most easily switched component, followed by verbs and adjectives. This study enriches the study of bilingual children in Hong Kong, extends the application of translanguaging to peer interaction outside the classroom in multilingual contexts, and provides pedagogic implications. Copyright © 2024 Informa  UK  Limited, trading as Taylor & Francis Group.

Background: Since the outbreak of COVID-19, universities in Hong Kong have implemented online and hybrid teaching modes, making computer-assisted language learning (CALL) a primary way for English learning. Research on English learning motivation and self-regulation has seldom considered learners' emotions (satisfaction and preparedness) and the synchronic online courses in a CALL context. Objectives: This study analyses the relationship between Hong Kong university students' motivation and self-regulation by considering their emotions in computer-assisted synchronic online English courses. Methods: 311 Hong Kong university students were invited to complete two questionnaires that investigated students' motivation and self-regulation in computer-assisted online English courses. SPSS 26 was employed for exploratory factor analysis (EFA) to extract factors and exclude unsuitable items, and confirmatory factor analysis (CFA) was performed to verify the results of EFA. One-way ANOVA was conducted to detect the impact of personal emotion on motivation and self-regulation. AMOS 26 was adopted to construct a structural equation model (SEM) to explore the relationship between motivation and self-regulation in the CALL context. Results and Conclusions: The results show that satisfaction and preparedness positively correlate with online English learning motivation and self-regulation. Instrumentality-attitude significantly predicts all factors of self-regulation via SEM and goal setting significantly predicts all factors of motivation. With feasible English learning goals, Hong Kong university students are more proactive in learning English online where they actively interact with teachers and peers. Implications: Based on the L2 self-system (Dörnyei, The psychology of the language learner: Individual differences in second language acquisition, 2005) and self-determination theory (Barnard et al., Internet and Higher Education, 2009, 12, 1–6), this study clarifies the relationship