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.

This article reports on a qualitative study conducted at primary schools in Hong Kong exploring the use of microlearning to support the self-directed continuing professional development (CPD) of English language teachers. Microlearning refers to short, concise, and easily consumable segments of learning about a knowledge point or skill. These activities tend to be multimodal and delivered through digital platforms, making them accessible anytime and anywhere. Currently, little is known about teachers’ perceptions of microlearning. To address this gap, we developed and delivered a mobile course that followed a microlearning approach and covered various aspects of digital technologies and English language teaching. Eight primary school English teachers engaged in the course and shared their perceptions of the experience in semi-structured interviews. The findings suggest that they found microlearning to be more enriching and conducive to developing their digital competence than traditional CPD. It allowed them to address their immediate needs, develop practical skills, and integrate technology into their practices. The study provides important insights into the use of microlearning to support self-directed CPD. Copyright © 2024 The Open University.

Since the public release of ChatGPT in November 2022, generative AI tools—capable of creating human-like content such as audio, code, images, text, simulations, 3D objects, and videos—have gained significant attention. While the impact of these tools on language teaching and learning has been widely speculated, the perspective of language teacher educators concerning their influence on initial language teacher education (ILTE) remains unexplored. This study investigates how teacher educators, who play a crucial role in adapting ILTE to technological advancements, perceive the effects of generative AI tools on ILTE. Data were collected through in-depth interviews with thirteen English language teacher educators from all four Hong Kong government-funded universities offering ILTE. Findings reveal that participants believe generative AI tools will substantially affect the ILTE curriculum, instruction, and assessment. However, most participants believed they lacked the confidence and competence to address the implications of generative AI tools effectively. This study highlights the need for further research and training to support teacher educators in adapting ILTE to the emerging influence of generative AI. Copyright © 2024 The Authors.

The present study explored the use of digital tools by English language schoolteachers in Hong Kong. Using a qualitative-dominant sequential mixed-methods design, wherein an online mixed-methods survey of primary and secondary school English language teachers (N = 83) and follow-up in-depth interviews (N = 22) were employed, this study collectively explored which digital tools the participants used, why the participants used these tools, and how the participants used them. Fourteen categories of tools utilized by teachers in their professional practice were identified. These were further categorized into core, additional, and remote digital tools based on their mode and frequency of use. Affordances of the core digital tools for language teaching were identified, with examples of teachers’ pedagogical uses of the tools presented. By providing an overview of digital tool use, teachers, school leadership, and professional development providers can better understand how teachers should be prepared for the digital realities of schools. In addition, this study provides a model for understanding the context and subject-specific bidirectional relationship between tools, their affordances, and teachers’ professional tasks. © 2023 by the authors.

More and more students are exploring overseas destinations and English-Medium Instruction (EMI) environments for their postgraduate studies. While it is known that students can often struggle in an EMI environment, the challenges faced by postgraduate students, and the support they receive or need, are not fully understood. By adopting a two-stage qualitative sequential data collection approach, this study explored the experiences and perceptions of full-time postgraduate students from Mainland China studying in a one-year Master of Education programme at a Hong Kong university during their first semester. Data were collected through an online survey ( N = 73) and three in-depth group interviews ( N = 12). The analysis of data offered a holistic understanding of the students’ challenges, needs, and struggles. The findings provide suggestions for support that teachers and programmes can provide to postgraduate students, as well as student self-help support strategies. Several sustainable support strategies are proposed to assist students in adjusting and succeeding in the EMI context at the postgraduate level. © 2023 by the authors.

In-person teaching abroad experiences, where pre-service teachers spend a defined period teaching in schools in a foreign country, have received considerable research attention in recent years. However, virtual alternatives have yet to be explored. This exploratory study sought to understand the effects a virtual teaching abroad experience had on pre-service teachers' professional learning. Data included teaching logs and reflective writings of two groups of pre-service teachers from Hong Kong who participated in a virtual teaching abroad experience hosted by a university in the United Kingdom and interviews with their course coordinators. The findings suggest that the PSTs found the virtual teaching abroad experience novel and unique, contributing to professional learning. Specifically, the experience (a) increased the PSTs' confidence and flexibility; (b) improved their synchronous online teaching skills; (c) gave them greater awareness of learner differences and needs; and (d) exposed them to innovative pedagogical approaches. The study suggests that virtual teaching abroad experiences could have a place within initial teacher education, especially as the financial costs associated with them are lower than in-person experiences. However, they do not seem adequate to replace a sustained period immersed in an overseas school context. Copyright ©2023 Routledge.

This article reports on a study that investigated primary-school English-language teachers' use of digital technologies in their in-person classrooms after a period of online teaching necessitated by the COVID-19 pandemic. It also explored the perceived effects the period of online teaching had on the teachers' practices. Data were collected through in-depth interviews with sixteen experienced Hong Kong primary-school English-language teachers approximately one year after they returned to in-person teaching. The findings suggest that the period of online teaching has led to a greater utilization of technology for teaching. In addition, they suggest digital technologies are now embedded in teachers' regular teaching practices, with the digital technologies adopted primarily those that enhance existing practices. Common digital technologies include: (1) learning management systems; (2) digital noticeboards; (3) interactive digital worksheets and quizzes; and (4) interactive presentation software. Examples of how teachers use digital technologies, and considerations for their use, are provided. Copyright © 2023 Oxford University Press.

Synchronous online teaching through video-conferencing software (VCS) has become a common mode of instruction during the COVID-19 pandemic. This mode brings unique challenges for teachers that require specific professional digital competences. One such challenge is conducting formative assessment. Through the use of in-depth interviews with nine Hong Kong university teachers who had taught synchronously online for one semester, this exploratory study explored the challenges of conducting formative assessment during synchronous online lessons and the strategies teachers deploy to conduct formative assessment. The findings indicate that the key difficulties include gathering information on students' needs, checking students' understanding, giving individual feedback, and building relationships with students. To address these challenges, the teachers suggested four pedagogical strategies: (1) Combine synchronous with asynchronous approaches; (2) Utilise breakout rooms; (3) Utilise poll functions of the VCS and combine it with other online platforms; and (4) Provide time before or after lessons for informal conversations. The findings suggest that teachers need to develop specific pedagogical strategies to conduct formative assessment. This provides an initial conceptualisation of one important dimension of Professional Digital Competence, teaching using digital technologies, and one aspect of that dimension, how teachers use digital tools and strategies to conduct formative assessment. Copyright © 2023 Taylor & Francis.

This paper proposes and describes a context- and subject-specific professional digital competence (PDC) framework for beginning English language teachers in Hong Kong. Taking a localised approach, the framework was developed through a four-stage data collection process, (1) Literature review of empirical studies conducted in Hong Kong of English language teachers’ technology use, (2) Review of local government curriculum documents; (3) An online survey of English language teachers’ technology use (n = 83); (4) follow-up individual interviews (n = 22). The study revealed that the local subject-specific PDC of teachers includes five aspects; Technological proficiency; Pedagogical compatibility; Preparing students for the digital world; Risk, well-being and ethical awareness and Professional work. Each aspect includes ability statements. The framework can be used to evaluate existing teacher education programmes, support the development of pre-service English-language teachers and facilitate self-, peer- and teacher assessment. The elements of PDC can be converted into programme- and course-level learning outcomes or incorporated into assessment rubrics. In addition, the methods used to develop the framework can be used by scholars in other contexts and subject areas to develop localised subject-specific PDC frameworks. Copyright © 2023 De La Salle University.

The integration of generative artificial intelligence (AI) in English language teaching presents opportunities and challenges for instructors. This study explores the attitudes of higher education English language instructors towards generative AI tools, their intentions to use them and the institutional support and professional development necessary to teach and learn with them. As the field continues to evolve rapidly, it is essential to comprehend the readiness of front-line language instructors. This qualitative interpretive study seeks to identify the digital competencies and pedagogical knowledge required to implement generative AI in education and provide guidance for the design of professional development programmes that address the challenges and concerns associated with adopting AI. Drawing on semi-structured interviews with twelve instructors at a higher education institution in Hong Kong, the findings reveal the significance of familiarity and confidence with using AI-driven teaching tools, the challenges and concerns language instructors face and the need for tailored support and professional development. The study offers ten practical implications to cultivate language instructors’ digital competencies, pedagogical knowledge and positive attitudes towards integrating AI to enhance their students’ learning experiences. Copyright © 2023 The Authors. Published by Elsevier Ltd.