This study investigates whether demographics, L2 enjoyment, L2 anxiety, psychological well-being, or informal digital learning of English (IDLE) affect willingness to communicate in L2 (L2 WTC) at trait or state levels. Across two weeks, 16 Hong Kong EFL students completed pre-and post-trait-level surveys and generated 1,120 state-level responses via the experience sampling method (ESM). The survey findings revealed that students who were older, had higher language proficiency, or had higher pre-WTC digitally reported higher L2 WTC in the classroom. Students who had studied English longer, had higher language proficiency, had higher pre-psychological well-being, had a higher standard deviation L2 WTC over 14 days, or had higher teacher appreciation showed higher L2 WTC outside of class. Students with higher language proficiency, higher pre-WTC digitally, or higher post-psychological well-being reported higher L2 WTC in digital settings. The ESM findings revealed that students with higher teacher appreciation, currently engaged in productive IDLE or both receptive and productive types of IDLE, currently experienced greater L2 enjoyment, or currently experienced greater well-being had higher L2 WTC now. Our findings are relevant to: (a) L2 WTC, informal language learning, and positive psychology theories, and (b) strategies that can be used to enhance students’ L2 WTC overall and at a particular moment. Copyright © 2024 The Author(s).

This study investigated the perceptions of second language (L2) English learners from Hong Kong on the speech produced by third language (L3) English learners from the Greater Bay Area (GBA) of China. Twenty L2 learners from a local university were asked to listen to speech recordings from two L3 learners, and then complete an online survey, which focused on comprehension of the speech and four dimensions of language attitudes, namely Appropriateness, Solidarity, Status, and Dynamism. Results showed correlations between the phonological performance of learners and the perception of listeners. Specifically, vowel replacement and addition, as well as consonant addition were found to have a negative correlation with the learners’ actual comprehensibility. Replacing /ə/ with Chinese ‘er’ /ɚ/ only affected their perceived comprehensibility. For perceived attitude, the presence of vowel replacement and addition had an adverse effect on the rating of Dynamism. These two features, along with consonant addition, also negatively affected the rating of Status. Moreover, consonant addition was the sole factor that negatively affected the rating of Solidarity. These findings provided pedagogical insights for learners to communicate in English as well as social implications for language paradigm, particularly in a multilingual and multicultural context such as the GBA. Copyright © 2024 Informa UK Limited, trading as Taylor & Francis Group.

Quantitative research on the linguistic acculturation of sojourners in non-Western and multilingual social contexts remains scarce. Revising the Framework of Acculturation Variables (FAV), we propose a parsimonious model exploring the effect of acculturation conditions (trilingual language usage and perceived discrimination), orientations (social connectedness to mainstream and minority community), and outcome (psychological well-being). In particular, we examined the alternative paths enabled by non-local languages in the acculturation process, revealing the complexity of multidimensionality in trilingual linguistic acculturation. The findings highlight the crucial mediating role of acculturation orientation in the acculturation process. The effects of Cantonese, Mandarin, and English usage on the acculturation process of Mainland Chinese students in Hong Kong (N = 798) were examined. Copyright © 2022 Informa UK Limited, trading as Taylor & Francis Group.

Students’ development of multilingual competence has attracted increasing attention from language researchers and educators. However, research on students’ interaction strategy use in group discussions across different language settings remains scarce. In this study, therefore, we examined interaction strategy use in Cantonese as a first language (L1) and Putonghua as a second language (L2) during group discussion tasks among 42 primary school students in Hong Kong. We also investigated the effects of interaction strategy use on performance in respective tasks. We discovered that students employed significantly more interaction strategies in L1 than in L2, with a higher contribution to L1 task performance. Specifically, three of the five strategies identified—Strategy 2 (S2) asking for opinions, S3 expressing attitude, and S5 non-verbal language—were employed more frequently in L1 than in L2. Furthermore, we found that strategy use had various effects on oral performance between the two languages. In the L1 task, S1 expressing actively, S3 expressing attitude, and S4 giving clarification significantly predicted students’ group discussion performance, whereas this effect was only observed in S1 expressing actively in the L2 task. Pedagogical implications for primary students’ learning of interaction strategies for group discussions in both L1 and L2 are discussed. Copyright © 2024 John Wiley & Sons Ltd.

Background: Different instructional factors are related to students’ achievement in different cognitive domains. Most research studies on large-scale assessment focus on science achievement as an entire variable, without considering science achievement in different cognitive domains. Purpose: This study investigates the predictive effects of the frequency of teachers’ using practical work and clarity of instruction on students’ achievement in different cognitive domains. Sample: A regional representative sample of 3265 Hong Kong students who took part in Trends in International Mathematics and Science Study (TIMSS) 2019 was used in this study. Design and Method: In order to disentangle the interrelationships between science instructional factors, attitudes toward science and students’ achievement in different cognitive domains, we carried out structural equation modelling to explore the responses by 3265 Hong Kong students to TIMSS 2019 surveys. Results: Frequency of teachers’ use of practical work had a significant positive impact on students’ achievement in the domains of knowing, applying, and reasoning, while clarity of instruction had a significantly negative impact on students’ achievement in the domains of knowing and applying. Enjoyment of science mediates the relationship between the relationships between frequency of practical work and achievement in three cognitive domains. Conclusion: This informs how teachers use practical work to enhance students’ enjoyment of science, intrinsic motivation and self-concept, in order to improve their achievement in knowing, applying and reasoning science. Implications contribute to future research on how best to improve students’ achievement in all three cognitive domains are discussed. Copyright © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

The rapid development of generative artificial intelligence (GenAI) tools (e.g. ChatGPT) has elicited mixed reactions among English language instructors and learners. This study explores how first-year students in an English for Academic Purposes (EAP) course at a Hong Kong university perceive GenAI and traditional grammar-checking tools (e.g. Grammarly, MS Word). We employed a qualitative methodology grounded in the interpretivist paradigm, conducting semi-structured interviews with 14 students. The findings revealed the students perceived GenAI tools to be more comprehensive and authoritative, as they provide detailed explanations and contextual insights that enhance language proficiency. However, they also noted concerns about overreliance, data privacy and equitable access to premium features. The study examines the ethical and pedagogical implications of integrating GenAI tools into higher education, highlighting their potential and the necessity of institutional guidance. It contributes to the ongoing discourse on the role of GenAI in academic writing instruction. Copyright © 2024 The Author(s).

Recent studies identify Self-Regulated Learning (SRL) as a key factor in enhancing cognitive development, particularly within Computational Thinking (CT) literature. However, research gaps remain in understanding how SRL and CT interact from a developmental perspective. Our study designed a program with tailored animations and worksheets to specifically foster students' learning and cognitive development. Using a mixed-methods approach, we administered surveys among 1235 students from 29 Hong Kong primary schools to investigate a dynamic learning system comprising SRL and CT in a large-scale CT program. Additionally, semi-structured interviews were conducted with 15 students to further probe insights. Quantitative findings revealed a mutually reinforcing relationship in the dynamic system, suggesting that higher SRL skills enhance cognitive CT abilities, and vice versa. Complementing these results, qualitative findings showed that integrating animations and worksheets into the CT program significantly boosted students' SRL and cognitive development. These findings have significant implications for educational practices and curriculum design. Schools should consider implementing SRL strategies, such as proactive goal setting and reflective evaluation, within their curricula to promote students’ cognitive development. Furthermore, strategic investments in educational technology, including collaborations with EdTech developers, are essential to create effective, pedagogically sound tools that enhance learning outcomes. These insights provide valuable guidance for creating a supportive SRL environment that fosters cognitive development in primary school education. Copyright © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Many Southeast Asian countries have been promoting the use of EMI in non-language subjects, including science. Content and Language Integrated Learning (CLIL) is a notion which promotes students’ integration of both content and language. This chapter explores the use of a content analysis technique, an epistemic network analysis to explore how classroom interaction facilitates CLIL. We draw on Lin (2012)‘s ‘rainbow diagram’ to analyse how two Hong Kong science teachers used and expanded communicative resources to promote CLIL. These resources are L1 and L2 every day, oral and academic languages, as well as multimodal representations. A coding scheme is developed based on the ‘rainbow diagram’ from Lin (2012). Afterwards, we illustrate an innovative discourse analysis technique, epistemic network analysis, to characterise the frequency of connections between the codes generated. By qualitatively comparing the epistemic networks between teachers and students in a science practical work setting, we propose that epistemic network analysis can be used to compare the practice of CLIL of experienced and non-experienced teachers, as well as before and after professional development programmes. The strengths and weaknesses of this innovative method are then discussed. Copyright © 2023 selection and editorial matter, Samantha M. Curle and Jack K. H. Pun; individual chapters, the contributors.

Integrated group discussion (IGD) tasks represent a new type of integrated speaking task that requires students to communicate with their peers after comprehending and using provided source materials. With its potential to enhance effective communication and information literacy, IGD stands at the core of language education. Although the IGD task type has become increasingly popular, its construct is still unexplored. In this study, 124 Hong Kong undergraduate students completed an IGD task and a group discussion (GD) task (i.e., without source materials) in Putonghua. Four factors, speech and expression, content with source use, interaction, and language usage, were extracted to represent IGD performance. Two indicators of GD performance (linguistic expression and engagement in interaction) significantly predicted IGD performance, explaining 21.9 % of its total variance. The large proportion of unexplained IGD performance variance suggests that IGD tasks may be worth implementing. The theoretical and practical implications of the findings are discussed in details. Copyright © 2024 Walter de Gruyter GmbH, Berlin/Boston.

Generative Artificial Intelligence (GenAI) tools have been argued to have transformative potential in education; yet existing literature suggests that language teachers generally lack the abilities to leverage these tools effectively and critically. Conducted in an initial language teacher education programme at a Hong Kong university, this mixed-method intervention study aims to explore the effects of explicit training for using GenAI tools for language teaching in rising pre-service language teachers’ professional GenAI competence (P-GenAI-C). 54 M.Ed students took part in an 11-week course intervention aiming to enhance the five aspects in the P-GenAI-C framework. Analysis of pre- and post-intervention questionnaires, which encompassed a mix of open and closed items to gather participants’ knowledge and perceptions of utilising GenAI tools, as well as the follow-up interviews, revealed that the intervention was effective in stretching all aspects of pre-service teachers’ P-GenAI-C. While there was greater evidence of improvement in participants’ pedagogical competence and critical awareness of GenAI tools deployment, there was less evidence of development in other aspects, such as teachers’ capacity to guide their students to use GenAI tools effectively and responsibly. This discrepancy might be attributed to the lack of such content in the course intervention. Implications for incorporating elements of P-GenAI-C into teacher preparation courses and programmes are discussed. Copyright © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.