A corpus provides extraordinarily rich and flexible resources for self-learning and can guide students in finding answers to their language queries. Although corpus linguistics has become mainstream in language research, a corpus-based language teaching approach remains largely unknown to the frontline teachers due to various reasons. In the past few years, our EdUHK corpus team have been working towards bridging the gap between corpus linguistic research and teachers’ teaching practice by introducing a corpus-based language pedagogy (CBLP) to English teachers in Hong Kong, China’s Mainland and elsewhere. In this presentation, we will focus on an awardwinning website, The Corpus-based Platform for Language Teachers (CAP) (https://corpus.eduhk.hk/cap/), and demonstrate how we theorised CBLP and enacted CBLP training for in-service and pre-service English teachers through the learning and teaching resources we created on the CAP website. The CAP website serves as the ideal pathway to transfer our expertise in corpus linguistics to the broad teacher community in Hong Kong, China’s Mainland, and other regions/countries. We will first provide the theoretical framework for CBLP and then use concrete examples from the CAP website to show how we implemented the CBLP training for our target participants to help them develop competence to learn and teach with corpora. Copyright © 2022 ICELEAL.

The linguistic backgrounds of English learners in Hong Kong are highly complex and diverse. There are local Hong Kong learners who speak Cantonese as their native language, new immigrants and students from different dialectal regions in mainland China and non-Chinese learners from the Philippines and Pakistan, among others. To optimise the effectiveness of English pronunciation teaching with such a diverse student body, it is of paramount importance to provide Hong Kong teachers with a spoken learner corpus. This paper introduces a self-developed spoken learner corpus and shows how it can be used in the design of pedagogic applications. The establishment of a learner corpus can help teachers understand the recurrent pronunciation difficulties encountered by learners of particular language backgrounds so that they can customise their teaching materials. To promote pronunciation teaching using this corpus, a teacher training programme was designed and conducted. Pre-service and in-service teachers participated in three face-to-face and real-time streaming workshop sessions, two online sessions, and a lesson plan design competition. Most of the participants appreciated the authenticity of the learner speech data, the diversity of speaker language backgrounds and the effectiveness of using the corpus as a teaching tool. Nonetheless, some suggested that the diversity of reading materials for eliciting speech data could be improved and that more dialect subgroups could be included in the corpus. Copyright © 2023 UKM Press, National University of Malaysia (UKM).

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

This study investigates how the online behaviors of students can be associated with student outcomes via a learning analytics approach. The objective of this study is to examine whether online behaviors of students can predict student success in an English course. Also, this study aims to examine whether some machine learning techniques performed better than others. Learners in this study were students in an English for Academic Purposes course at a university in Hong Kong. Other than face-to-face teaching, this course included a mandatory multimodal language learning package first introduced in 2012. The research team retrieved a mega-dataset from all learners who took the course from 2012 to 2019 (n = 17,968). Using the Classification Tree technique, Logistical Regression, and Artificial Neural Networks, the research team derived three predictive algorithms to associate various online engagement variables (e.g., start day, first attempt scores, and number of attempts) with course success. Results suggest that Classification Tree performed better in predictive accuracy and F1 ratio. The chapter provides useful insights for adaptive design. The study also discusses several useful suggestions on how practitioners can adopt these algorithms for better adaptive design. Copyright © 2024 selection and editorial matter, Patsy D. Moskal, Charles D. Dziuban, and Anthony G. Picciano; individual chapters, the contributors.

Despite the rapid growth of English Medium Instruction (EMI) programmes around the globe, the language goals in such programmes have not been clearly defined, making it difficult to evaluate their success. Accordingly, our paper reports on a study that attempted to identify the language goals, operationalised as the vocabulary expected of learners, by investigating the under-explored area of EMI assessment. We sampled a corpus of 16 sets of examination papers in two subject areas, namely, Biology and Geography, spanning eight years in Hong Kong. The examination papers, analysed for their vocabulary profiles, indicated that students were expected to learn beyond the K3 level (the most frequent 3,000 words in English) and master mid-frequency words (K4−K8) as well as academic words. Our findings suggest that the less frequent words were not often shared by the two subjects. Analysing academic words also enabled us to showcase how some words were common across the two subjects while others were more subject-specific. Pedagogical implications are discussed, highlighting the need for teachers and students to attend to target language goals in EMI, and to consider the subject-specific nature of vocabulary items in EMI. Copyright © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Natural language generation (NLG) is a process within artificial intelligence where computer systems produce human-comprehensible language texts from information. English as a foreign language (EFL) students’ use of NLG tools might facilitate their idea generation, which is fundamental to creative writing. However, little is known about how EFL students interact with NLG tools to generate ideas. This study explores strategies adopted by EFL students when searching for ideas using NLG tools, evaluating ideas generated by NLG tools and selecting NLG tools for idea generation. Four Hong Kong secondary school students attended workshops where they learned to write stories comprising their own words and words generated by NLG tools. After the workshops, they answered questions to reflect on their writing experience with NLG tools. In a thematic analysis of the written reflections, we found students may have existing ideas when searching for ideas and evaluating ideas with NLG tools. Students showed some aversion to ideas generated by NLG tools and selected NLG tools that generated a greater quantity of ideas. The findings inform our understanding of EFL students’ concerns when using NLG tools for idea generation and can inform educators’ instruction to implement NLG tools for classroom creative writing. Copyright © 2023 The Author(s).

Purpose: This study adopted a mixed-method approach, including a classroom experiment and 24 in-depth interviews, to investigate the effects of two feedback techniques (coded focused and unfocused written corrective feedback) on ESL learners' writing in a self-financed tertiary institution in Hong Kong. Methodology: Three intact classes of 47 students served as the experimental and control groups; the control group only received feedback on content and organization, whereas the two experimental groups also received focused and unfocused linguistic feedback, respectively. The feedback intervention was conducted over an eight-week intensive summer course, focusing on three grammar errors (articles, singular/plural nouns and verb forms). Altogether, students wrote seven pieces, four of which were analysed for the present research. Results: The study found that students who received focused written corrective feedback (WCF) significantly outperformed the other two groups, though the effects varied across error types. Meanwhile, no significant differences were found between the unfocused and control groups. In-depth interviews explored how individual learners' metalinguistic understanding and engagement affect their intake of WCF. The results revealed that learners who received focused feedback developed a deeper understanding of the linguistic nature of specific error types. Learners with limited English proficiency were less likely to apply their linguistic knowledge to revise a task or write a new one. Conclusion: Because not all errors deserve equal attention, teachers and students should consider how feedback can be used more effectively, particularly in areas where comprehensive feedback is considered obligatory. When teaching students with limited language proficiency, it is recommended that, rather than providing a wide range of error corrections, teachers provide focused feedback complemented with carefully designed metalinguistic support. Copyright © 2022 National

Theoretically, abundant conversation experiences are necessary for young children to develop their preliteracy skills – the foundation for reading comprehension. But very few studies have provided empirical evidence on it. This study investigated whether K1 children experiencing a higher quality of teacher-child conversations would perform significantly better in preliteracy skills (phonological awareness, morphological awareness and oral language) and word reading and whether the quality of teacher-child conversations could moderate the contribution of preliteracy skills to word reading. Results supported the theoretical importance of good teacher-child dialogues in developing young children’s preliteracy skills and suggested that the effectiveness of preliteracy skills training might depend on the verbal environment children experience at preschools. Copyright © 2023 AERA.

This study takes a rarely employed learner's angle in examining how students are learning in the English Medium Instruction (EMI) classroom. Particularly, the study tapped into students' listening strategy use when comprehending the teacher input, a context that is underexplored for strategy research and yet highly important because teacher input predominates in the EMI classroom. An EMI class of Grade 11 Biology in Hong Kong was recruited. Through lesson observations and stimulated recall interviews with a purposively selected sample of eight students, a taxonomy of listening strategies in EMI was constructed. The taxonomy reveals the uniqueness of listening to the teacher in EMI context due to the non-existence of planning and prediction strategies, the identification of novel strategies, and the classification of content-mediated and language-mediated cognitive strategies. Factoring in students' linguistic knowledge and Biology achievement, the findings indicated the usefulness for students to deploy a range of language-mediated, content-mediated and metacognitive strategies in combination. This paper ends with implications for future research and pedagogy in order to make EMI learning and teaching more successful. Copyright © 2023 Elsevier Ltd. All rights reserved.

A positive relation between English phoneme deletion skill, a measure of the theoretical construct phonological awareness (PHNA), and pronunciation accuracy (PRNA), the ability to read aloud correctly familiar English words, was found in 2 groups of Hong Kong high school students who learned English as a 2nd language. 81 7th graders and 72 10th graders were tested. The study identified 7 variables: CA, nonverbal intelligence, sight vocabulary, digit span, word span, phoneme deletion, and PRNA. Multiple regression analyses were used to examine the interactions among the variables in predicting PRNA. Findings suggest that PHNA was predictive of PRNA for the 10th graders. The findings are discussed in light of the well-documented relation between PHNA and reading accuracy. Their implications for 2nd language education are also discussed. Copyright © 2016 APA, all rights reserved.