This paper evaluates the potential of generative artificial intelligence (AI) in higher education, specifically its capacity to replace or assist human teachers. By reviewing relevant literature and analysing survey data from students and teachers, this mixed-methods study provides a comprehensive perspective on the future role of educators in the face of advancing generative AI technologies. An online survey was conducted to explore the perceptions of 399 university students and 184 teachers across different disciplines in eight higher education institutions in Hong Kong concerning the use of generative AI technologies. Findings suggest that although some believed generative AI may eventually replace teachers, the majority of participants argued that human teachers possess unique qualities, including critical thinking and emotions, which make them irreplaceable. Similarly, findings also emphasized the importance of social-emotional competencies developed through human interactions, something which generative AI technologies cannot currently replicate. Crucially, this study further found that students value and respect their human teachers, even as generative AI becomes more prevalent. As such, the authors propose that teachers can seek to effectively integrate generative AI to enhance teaching and learning without viewing it as their replacement. To do so, they must understand how generative AI can work well with teachers and students, avoid potential pitfalls, develop AI literacy, and address practical issues including ethics and privacy. Recommendations are offered on how universities, teachers, and students can adopt generative AI technologies in an approach that balances the strengths of human educators with generative AI technologies. As the future of education lies in the synergy between human teachers and generative AI, teachers, students, and universities should all understand and refine their unique qualities in order to effectively navigate the integration

Existing studies have measured the effect of video-based feedback on student performance or satisfaction. Other issues are underacknowledged or merit further investigation. These include sociocultural aspects which may shape the design and implementation of video-based feedback, the ways students use technology to engage in feedback, and the processes through technology may transform learning. This study investigates the design and implementation of a video-annotated peer feedback activity to develop students' presentation skills and knowledge of climate science. It explores how their use of a video annotation tool re-mediated established feedback practices and how the systematic analysis of contradictions in emerging practices informed the subsequent redesign and reimplementation of the approach. Employing a formative intervention design, the researchers intervened in the activity system of a first-year undergraduate education module to facilitate two cycles of expansive learning with an instructor and two groups of Hong Kong Chinese students (n = 97, n = 94) across two semesters. Instructor interviews, student surveys, and video annotation and system data were analysed using Activity Theory-derived criteria to highlight contradictions in each system and suggest how these could be overcome. The findings highlight the critical importance of active instructor facilitation; building student motivation by embedding social-affective support and positioning peer feedback as an integrated, formative process; and supporting students' use of appropriate cognitive scaffolding to encourage their interactive, efficient use of the annotation tool. Conclusions: In a field dominated by experimental and quasi-experimental studies, this study reveals how an Activity Theory-derived research design and framework can be used to systemically analyse cycles of design and implementation of video-annotated peer feedback. It also suggests how the new activity system might be consolidated and

The pedagogical approach-Content and Language Integrated Learning (CLIL)-has been widely adopted around the globe with its dual aims of developing students' second language (L2) proficiency and mastering content knowledge simultaneously. However, its effectiveness remains inconsistent. This inconsistency has led researchers to call for an investigation into the perspectives of CLIL students to understand the factors behind the success and failure of CLIL implementation. To address this gap, this study explores CLIL students' perspectives through the lens of self-regulation and examines the relationships between CLIL students' self-regulation levels, linguistic challenges, and learning outcomes. Involving 167 junior secondary students from three schools in Hong Kong that adopted different CLIL models in Hong Kong, the study revealed moderate self-regulation levels and varying linguistic challenges among CLIL students, with listening being identified as the most difficult skill. A significant, moderately positive correlation was found between self-regulation levels and perceived linguistic challenges. Multiple regression analysis also found that motivation was a key predictor of both L2 proficiency and content subject achievement, while other self-regulation constructs (self-preparation, self-monitoring, and self-reflection) showed non-significant predictive values. Pedagogical implications are provided to develop students' self-regulation skills and address perceived linguistic challenges, ultimately enhancing the learning experience and outcomes for CLIL students of diverse abilities. Copyright © 2025 Taylor and Francis Ltd.

Translanguaging has been empirically proven to have constructive and even transformative effects, as it provides linguistic minority learners with access to various educational and linguistic resources. Nevertheless, there is limited research on its use in the context of Chinese writing as a second language and, more specifically, on how it supports the co-construction of knowledge between Chinese teachers and non-Cantonese-speaking (NCS) students. This study examines NCS students' perceptions of and experiences with translanguaging in Chinese writing classrooms while illuminating the role that translanguaging plays in Chinese as a second language (CSL) writing classes in Hong Kong secondary schools. The findings of this ethnographic study indicate that NCS students' attitudes toward and experiences with translanguaging are largely positive, particularly in terms of cognitive and emotional scaffolding. They reveal that NCS students developed more complex thinking skills, metalinguistic awareness and criticality through the translanguaging space that they co-constructed in the classroom. This study also discusses the roles played by both spontaneous and planned translanguaging in NCS students' speech and writing development. Copyright © 2024 Wiley.

While the importance of linguistically responsive teaching (LRT) in multilingual classrooms is well documented, preservice English teachers' conceptions of LRT and the pertinent sociocultural processes that shape their LRT conceptions and practices remain under-researched. Qualitatively examining the experiences and understandings of 15 preservice English teachers in Hong Kong shared in interviews and written reflections, this study reveals a positive attitude towards LRT in general, but a dissonance between LRT consciousness and LRT knowledge/skills. The study also identifies three distinct profiles of LRT teachers (Explorers, Activists, and Initiators) as well as a range of enabling and debilitating factors in understanding and implementing LRT. These findings call for attention to a need for revisiting mainstream English language teacher education trends and embracing more socio-politically informed linguistically responsive approaches. Copyright © 2024 Taylor and Francis Ltd.

Due to the prevalence of information and communication technologies (ICT) among secondary school students and the increasing significance of digital reading, exploring the impact of ICT on students' digital reading performance in English seems necessary. The current research aimed to examine the effects of ICT competencies factors on secondary school students' English digital reading performance. Data were obtained from 7703 15year-old students from three East Asian economies, Macau, Hong Kong, and Singapore, from the Programme for International Student Assessment (PISA) 2018 dataset. The results of hierarchical regression analysis revealed that students' ICT literacy was negatively correlated with their English digital reading performance, while the influence of attitudes toward ICT varied across the three East Asia economies. Additionally, males had lower English digital reading achievement, while students with higher socioeconomic status (SES) had higher English digital reading performance. Copyright © 2024 Elsevier.

Questions asked by teachers are vital to maintaining and sustaining learner engagement. In Hong Kong secondary classrooms where English is used as the medium of instruction (EMI), productive teacher questioning is key to promoting both language and content learning. Drawing on classroom observations and in-depth interviews, this study investigated the questioning practices of two teachers from EMI schools in Hong Kong. Quantitative and qualitative analyses of the data revealed that the teachers adopted different approaches to questioning. Their questioning practices can be captured by a dynamic model of two intersecting dimensions: cognitive demand (lower- and higher-order questions) and interactional orientation (authoritative and dialogic discourses). The findings of this study support the notion of teacher questioning as pedagogy and demonstrate how productive teacher questioning can mediate learner engagement. A guiding framework is proposed for productive teacher questioning that relies on the synergistic combination of cognitive demand and interactional orientation. Copyright © 2024 Springer.

During the COVID-19 pandemic, many online lessons for emergency remote teaching (ERT) were recorded. However, little is known about how these recordings can be reused as resources for students' active learning. This study aimed to design a post -video learning approach that uses recorded videos of lessons to remediate students' learning losses associated with the pedagogical challenges of ERT. Two classes (54 students in total) with two teachers of general studies and mathematics in a Hong Kong primary school participated in a quasi -experimental study in which they used an approach integrating video selection, visualizations of classroom dialogues, a discussion forum, and quizzes for 10 weeks. After the intervention, the students' mathematics knowledge had improved significantly relative to a comparison group, while the general studies class did not show significant changes. Eight students and two teachers were interviewed about their experiences with the post -video learning approach. The approach appeared to be a pedagogically meaningful way of engaging students in active learning activities and addressing the challenges raised by ERT by recycling recorded lessons. The results of this study also suggest that recorded lessons can be useful learning materials beyond tertiary education as they cater to younger learners' needs in video -based learning by, for example, segmenting class videos, using visualization for easier viewing, and including discussion forums and quizzes for enhanced interaction. The design implications of using video segments and visualized representations of classroom interactions as learning materials and how to foster knowledge co -construction through forums and quizzes are also discussed. Copyright © 2024 International Forum of Educational Technology and Society .

Despite the global adoption of Content and Language Integrated Learning (CLIL) and extensive research on the effectiveness (product-oriented) and classroom interactions (process-oriented) of CLIL, existing studies have overlooked the motivational beliefs and metacognitive strategies of CLIL students. Hence, there is a need for a participant-oriented approach to better understand students' perspectives and enhance CLIL's success. Drawing on the social cognitive model of self-regulated learning (SRL), this study aimed to explore how students plan, monitor, and evaluate their learning in CLIL contexts by employing a novel vignette-based microanalytic assessment approach to empirically capture students' SRL processes. Participants were 108 junior secondary school students from three schools in Hong Kong. Data were analysed using structuring qualitative content analysis. Findings revealed that students employed diverse strategies to manage the demands of language and content learning, with variations in self-efficacy beliefs influencing their approaches. Furthermore, some learners faced challenges in maintaining effective self-regulation. This study argues that improving self-regulatory processes and enhancing CLIL's success requires prioritising assessment, considering the state of 'others', and fostering deeper learning beyond CLIL. This study contributes to the empirical, methodological, and pedagogical understanding of students' SRL in CLIL settings and informs future research on student-focused aspects in CLIL. Copyright © 2025 Taylor and Francis Ltd.

This study introduces a model of Bloom's taxonomy aimed at deepening learners' cognitive thinking. It investigates the process of questioning and reflection within the structured framework of Bloom's taxonomy and explores how these insights can be applied in students' utilisation of generative Artificial Intelligence. An experiment was conducted in a Year 5 class at an International Baccalaureate Primary school in Hong Kong, involving 25 students. The findings indicate that Creating and Evaluating were the dominant aspects in the students' questioning and answering process. However, the skill of 'Applying' showed a significantly low influence, suggesting a lack of proficiency in applying AI conversations to other learning areas. This research contributes to the field by providing insights into the integration of generative AI within Bloom's taxonomy. Educators and researches can utilise these findings to enhance critical thinking and learning outcomes through AI integration. Copyright © 2024 Routledge.