Online professional development (PD) can be a sustainable and easily scalable alternative to provide early childhood teachers with training opportunities. However, there is limited research on teachers’ levels of satisfaction and engagement in online PD initiatives. Understanding teachers’ levels of satisfaction and engagement is crucial, as these may influence the effectiveness of online PD in benefiting teachers and ultimately young children. This study aimed to examine Hong Kong kindergarten teachers’ satisfaction and engagement in a music-and-movement (M&M) online PD course. This study involved 56 participants who received an 11-week online PD course. Questionnaires were administered after course completion. Data were analyzed using descriptive statistics and t-tests. Participants had high levels of satisfaction with the course, particularly those with no or some M&M background, who were more satisfied with the course content and instruction. Participants had moderate-to-high levels of engagement in the course, particularly those with no or some M&M background, who were more emotionally engaged. We conclude that sustainable and easily scalable online PD initiatives can result in high levels of satisfaction and engagement among kindergarten teachers, especially those with limited M&M background. This study supports the idea that online PD can be responsive to teachers’ needs and preferences. Copyright © 2024 by the authors.

The increase in ethnic and cultural diversity in kindergartens requires teachers to leverage their professional capacity to work competently with students from ethnically diverse backgrounds. This article reports the results of a teacher professional development (PD) programme infused with culturally responsive teaching for developing the multicultural teaching competence of early childhood teachers in Hong Kong regarding their knowledge, skills, and relationships. Sixty-six teachers attending the programme took 20 sessions of PD courses over eight months, whereas 58 teachers who did not attend were recruited to form a control group. The pre- and post-test data were examined via multilevel modelling. Results revealed significantly positive changes in programme group teachers’ reported knowledge, skills, and relationships after controlling for teacher demographic characteristics. The promising PD effects suggested that the PD opportunities enhanced teachers’ perceived multicultural competence; thus, they reported becoming more competent in engaging in culturally responsive practices upon completing the programme. Copyright © 2024 Teacher Development.

Differentiated instruction has been advocated for embracing learner diversity, but it has been found that differentiated instruction implementation is difficult and teachers often feel unprepared. This qualitative case study explored the professional development of two English language teachers in two participating schools of a school-university collaboration project on diversity management in Hong Kong. Based on the data collected from co-planning meetings, lesson observations, semi-structured interviews, focus groups and artefacts, the study showed that research-informed teaching and teaching-informed research were both indispensable to differentiated instruction infrastructure building; school cultures and teacher efficacies both affected teachers’ attitudes towards researcher-practitioner collaboration modes for professional development. Teachers whose efficacy and professional learning community remained at a developing stage tended to rely on an expert-guided collaboration mode. Yet, those whose efficacy and professional learning community had advanced would prefer a more self-redirected learning mode. These findings shed light on bridging the researcher-practitioner divide in teacher education. Copyright © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

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.