The paper draws upon a collaborative action research project using Photovoice aiming at empowering participants to voice and critically reflect by thinking deeply about their context and difficulties, and using images to foster critical consciousness. Nineteen prospective teachers in a Hong Kong public university participated in this collaborative action research project. Findings highlight the obstacles and concerns that prospective teachers faced, core reflections, and action plans for overcoming such challenges. This study demonstrates the feasibility of using Photovoice to facilitate reflective dialogues in developing professional teachers in initial teacher education. Copyright © 2021 Routledge.

This paper reports on the design, implementation, and results of a video-based study that focused on supporting an individualized viewing experience, keeping a record of what was noticed, providing a degree of guiding framework, and facilitating a combination of individual and collaborative reflections in noticing activities for STEM professional development. A cohort of 20 prospective mathematics teachers at a public university in Hong Kong participated in the study. The participants engaged in a series of blended learning activities with a feature that allowed them to leave comments while viewing of a lesson video, which focused on technology integration in mathematics classrooms. The designed activities were helpful for the participants to document and reflect on their observations, while viewing videos outside the classroom allowed them to meaningfully engage with the course materials. Moreover, the use of videos supported the participants' broad but crucial STEM classroom practices that would help them prepare for future lessons. Copyright © 2021 International Forum of Educational Technology & Society (IFETS).

With the advancement of technology, eLearning is increasingly adopted as an instructional method in a wide range of educational settings and has opened up new possibilities in teaching and learning practices. However, there is insufficient empirical evidence to illustrate how eLearning benefits teaching and learning practice in its real-world applications. Therefore, an important question is raised--How can eLearning technology facilitate pedagogical advancement practically in the classroom? In this study, we focus on constructivist pedagogies, emphasizing the dramatic educational reform from teacher-centered pedagogy to a student-centered, constructivist approach. Based on observations of 79 eLearning classes in eight primary schools, four secondary schools, and two special education schools in Hong Kong, this study illustrates how eLearning technology can advance at least five constructivist pedagogies: 1) active learning, 2) student-centered learning, 3) peer learning, 4) personalized learning, and 5) differentiated learning. We illustrate that the interactive, self-paced, repetitious, and customizable features of eLearning systems facilitate the implementation of these five constructivist pedagogies. Successful examples from classroom observations are drawn to illustrate how teachers make practical use of eLearning technology. This article serves to stimulate further discussion on how eLearning can be applied across various settings to advance the effectiveness of constructivist pedagogies and to encourage practitioners to consider how to make use of eLearning technology in the classroom. Copyright © 2021 Springer.

Despite the wide adoption of emergency remote learning (ERL) in higher education during the COVID-19 pandemic, there is insufficient understanding of influencing factors predicting student satisfaction for this novel learning environment in crisis. The present study investigated important predictors in determining the satisfaction of undergraduate students (N = 425) from multiple departments in using ERL at a self-funded university in Hong Kong while Moodle and Microsoft Team are the key learning tools. By comparing the predictive accuracy between multiple regression and machine learning models before and after the use of random forest recursive feature elimination, all multiple regression, and machine learning models showed improved accuracy while the most accurate model was the elastic net regression with 65.2% explained variance. The results show only neutral (4.11 on a 7-point Likert scale) regarding the overall satisfaction score on ERL. Even majority of students are competent in technology and have no obvious issue in accessing learning devices or Wi-Fi, face-to-face learning is more preferable compared to ERL and this is found to be the most important predictor. Besides, the level of efforts made by instructors, the agreement on the appropriateness of the adjusted assessment methods, and the perception of online learning being well delivered are shown to be highly important in determining the satisfaction scores. The results suggest that the need of reviewing the quality and quantity of modified assessment accommodated for ERL and structured class delivery with the suitable amount of interactive learning according to the learning culture and program nature. Copyright © 2021 Public Library of Science.

This paper is a report of a cross-cultural online collaboration between two cohorts of pre-service teachers in Hong Kong, China and an American university in St. Paul, Minnesota. It explicates the pedagogical design and implementation of online tools for group collaboration and students' perceptions of the benefits and challenges. Multiple web-based tools (e.g. Slack, Zoom) were selected and recommended to the students to facilitate resource sharing, communication, and artefact construction. Overall, students valued the experience of collaborating in a global virtual team in spite of some challenges encountered. Findings from this study indicated that the merits and perils of cross-cultural online collaboration coexisted and centered on three aspects: cross-cultural communication, group collaboration, and technological tools. The students greatly appreciated the values of online tools and manifested the ability to appropriate the tools to fulfill the needs of group work. The implications for pedagogical design are also discussed and technological tools supporting cross-cultural online collaboration are recommended. Copyright © 2021 Springer.

The global crisis of COVID-19 has severely impacted the entire higher education sector (Marinoni et al., 2020) and spurred timely, innovative, and radical responses from educational institutions across the sector and the world. The focus of much of this attention has been on flagship universities (University World News, 2020). However, the impact of COVID-19 has been even more severe on other institutional types, such as community colleges. About two-thirds of the 20,000 universities worldwide reported that online classes had substituted face to face teaching while the altered practices of teaching and learning through digital means call for new pedagogies, access to the Internet, digital devices and technical infrastructure, as well as digital literacies of instructors and students from diverse backgrounds (Marinoni et al., 2020). This study focuses on an exploration of the effects and implications of COVID-19 on the case study of Hong Kong community colleges. The higher education that community colleges deliver traditionally depends on the concept of dynamic learning community, featuring liberal teacher-student interactions and pedagogic environment, learner-centred formative assessment, effective student services for strategic university articulation, and dynamic student activities and engagement (Tang and Dang, 2019). In the case of Hong Kong, a small community college campus in Hong Kong that serves as a hub of geographic location where the above-mentioned activities take place in real time. In late 2019, it was unprecedented that COVID-19 made Hong Kong’s community colleges close their campus and moved teaching, learning and assessment completely online. This study engages in the case study of Hong Kong’s community colleges in view of how it mitigated COVID-19 through organisational adaptation and sustained the delivery of higher education, especially when global pandemic may persist in upcoming times. Copyright © 2020 CHER-Hong Kong.

BACKGROUND: In recent years, there has been considerable interest in taking up the opportunities of Artificial Intelligence (AI) in education. As an emerging concept and a driving technological force, AI is changing the kind of knowledge and skills students need for success in the forthcoming Industrial Revolution 4.0, and at the same time, enabling novel, powerful methods of teaching and learning. Although many school leaders, policy-makers and frontline teachers understand the need for embracing AI, they may lack clarity on what to teach students in the era of AI; how to harness the power of AI tools; and where to start given their own school contexts. This paper describes an ongoing study that uses Communities of Practice (CoPs) as a knowledge management strategy to support Hong Kong K-12 schools in embracing AI. CoPs comprise members who genuinely care about a mutual interest and seek to solve a common problem. The premise underlying this study is that the cultivation of CoPs may present enabling conditions and pave the way for AI adoptions. In these CoPs, members would engage in reflective discussions on the opportunities and challenges of embracing AI in their schools and collaboratively support each other through meaningful knowledge exchange. METHODS: A collective case study is being conducted with members from 20 K-12 schools in Hong Kong to substantiate and illustrate the power of CoPs that aim to support schools in embracing AI. Qualitative data are gathered via semi-structured interviews and focus-group meetings with participants. Thematic analysis is adopted for analysing the data. RESULTS: The preliminary results of this ongoing study have shown that CoPs, if successfully launched, can play an uplifting role for Hong Kong K-12 schools embracing AI. More specifically, the collaborative learning process in CoPs has helped members make sense of AI core concepts and the pedagogical implications as they access authentic, relevant and updated information. The

BACKGROUND: Research on Artificial Intelligence in Education (AIEd) has become increasingly active during the past 20 years, with great interest, rich literature, and huge diversity. The diversity in research topics and technologies keeps increasing along with the tremendous growth in the application scope of AIEd research. A comprehensive overview of this field is necessary to understand what had been concerned in AIEd research, what is going on in the field of AIEd, and what might be the future of AIEd research. METHODS: This paper combined the structural topic modeling (STM) with the bibliometric analysis to automatically identify prominent research topics from the large-scale AIEd literature in the past two decades. Specifically, by using STM, we uncovered important research topics concerned within the AIEd community. The evolution of these topics was explored by using a nonparametric Mann-Kendall (MK) trend test. In addition, the correlation between these topics was further explored and visualized based on a semi-parametric Gaussian procedure. RESULTS: The annual trend of publications concerning AIEd had grown consistently across the past 20 years, indicating that research on AIEd had received a growing interest from academia Analyses on topical trends, correlations, and clusters reveal distinct developmental trends of these topics and promising research orientations. Specifically, the top six topics having the highest proportions in the dataset were cognition and perception, programming education, prediction, MOOCs, semantic Web and recommender systems, assessment and feedback, and emotion detection. Results of the MK test highlighted five topics receiving an increase in research interest, including prediction, assessment and feedback, flipped classroom and biosignal data, STEM education, and English language learning. In addition, several inter-topic research directions were identified, including 1) flipped classroom and biosignal data, emotion detection, and

This project aims at promoting the idea and implementation of digital citizenship education to Hong Kong schools and supporting in-serve teachers in professional development. Twenty teacher participants from seven local secondary schools joined the project and attended our 6-sessions (9 hours) of professional development training workshops in the academic year of 2019/2020. The training workshops delivered digital citizenship education framework and related concepts and teaching methods to the teachers, including digital citizenship, media literacy, digital commerce, digital footprint, digital etiquette, and cyberbullying. Our team also supported teachers to design their school-based digital citizenship curriculum for trial teaching and discussion of feasible pedagogies after the training workshops. After conducting quantitative data analysis before and after the training workshops, the result found that over 90% of teachers are satisfied with the training workshops. Moreover, there was a significant statistical difference in their teaching of digital citizenship on digital law, digital commerce, and digital security and safety dimensions between pre and posttest. They are more willing to teach these topics after the training. Facing the challenges caused by COVID19 in 2020, however, all Hong Kong schools were forced to close down. Therefore, our class observation has been delayed but we still found that teachers can utilize different online learning activities to implement digital citizenship education, though some teachers also reported that they were not confident to teach certain aspects such as legal dimension. This project suggests a need of equipping teachers’ understanding and teaching of digital citizenship education, and revisiting the relevant curriculum. Copyright © 2020 International Conference on Learning and Teaching.