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.

This study aims to develop an AI education policy for higher education by examining the perceptions and implications of text generative AI technologies. Data was collected from 457 students and 180 teachers and staff across various disciplines in Hong Kong universities, using both quantitative and qualitative research methods. Based on the findings, the study proposes an AI Ecological Education Policy Framework to address the multifaceted implications of AI integration in university teaching and learning. This framework is organized into three dimensions: Pedagogical, Governance, and Operational. The Pedagogical dimension concentrates on using AI to improve teaching and learning outcomes, while the Governance dimension tackles issues related to privacy, security, and accountability. The Operational dimension addresses matters concerning infrastructure and training. The framework fosters a nuanced understanding of the implications of AI integration in academic settings, ensuring that stakeholders are aware of their responsibilities and can take appropriate actions accordingly. Highlights Proposed AI Ecological Education Policy Framework for university teaching and learning. Three dimensions: Pedagogical, Governance, and Operational AI Policy Framework. Qualitative and quantitative data collected from students, teachers, and staff. Ten key areas identified for planning an AI policy in universities. Students should play an active role in drafting and implementing the policy. © The Author(s) 2023.

Course management system (CMS) is expected to be a part of major system developments in educational intitutions as the information technology continues to emerge into all levels of education. Particularly, this trend has also been expanded to all post-secondary institutions. Indeed, the adoption of packaged commercial CMS (e.g. WebCT and Blackboard) is a common practice in most institutions, yet it is often lack of flexibility to satisfy the special needs in the institutions, especially in our community college. In addition to the issue of system design, a long-term financial commitment and the high cost of system maintenance are expected, which stands as the stumbling block in the college development To solve our challenges, we have adopted the Sakai Collaboration and Learning Environment (CLE) [1] that offers an open and community source framework. In this paper, we propose a practical implementation method based on our design experience on our newly developed CMS using the Sakai project platform. Our approach is a cost effective solution with minimum resources usage such as the size of the development team, project time frame, and hardware requirements. In addition, technical backgrounds including the system architecture, software installation, tools development and system enhancements will be introduced and explained in details. We believe our experience in CMS development and research findings can make a significant contribution to the post-secondary institutions, especially in Hong Kong. Copyright © 2010 IEEE.

As computing technology continues to emerge into all levels of education, a course management system (CMS) is expected to be part of the primary system developments, which offers an enormous impact, particularly in today's post-secondary institutions. The adoption of packaged commercial CMS (e.g. WebCT and Blackboard) is a common practice in most educational institutions, yet it often lacks the flexibility to satisfy special needs of the institutions. This is especially true of our community college. In addition to the issue of system design, a long-term financial commitment and the high cost of system maintenance stand as stumbling blocks in the college's development of a CMS. To solve these challenges, we have adopted the Sakai Collaboration and Learning Environment (CLE) [1], a CMS that offers an open and community source framework. In preparation to the system design and development, a needs assessment has been conducted to investigate the project feasibility and functional requirements, which serve as the keystone to our system implementation. In this paper, we articulate the motivations, feasibility study results, functional requirements, as well as the highlights of our current progress, future implementation and evaluation. We believe our experience in CMS development and research findings can make a significant contribution to post-secondary institutions, especially in Hong Kong. Copyright © 2010 ACM.

Self-regulated learning (SRL) relates to self-generated thoughts, feelings, and behaviours that continuously amend and improve performance, aiming to accomplish self-set goals and the ability of people’s willingness to concentrate, adjust, evaluate, and manage their own behaviour. Studies strongly suggest that students’ academic success can be better achieved when the design of e-learning environments involves the consideration of SRL development. In recent years, e-portfolios are used widely and globally in higher education and have become one of the major active learning processes in self-learning online platforms that support students’ self-reflection, learning motivation, self-efficacy, and so on. There is a significant need for more studies on the full range of factors of SRL for higher education students in e-portfolios projects, including but not limited to understanding the influences, all possible factors, technical support, and students’ learning process and/or learning outcomes related to SRL.This research study aims to collect information directly from higher education students with actual practice in and experience of e-portfolios for two consecutive semesters. The quantitative data have been collected within the Pintrich’s (2004) social–cognitive perspective of the SRL framework and used the developed self-regulation of learning self-report scale (SRL-SRS), covering the six core factors of SRL: planning, self-monitoring, evaluation, reflection, effort, and self-efficacy. The same self-report paper questionnaire was distributed to 262 undergraduate year-1 students in semester 1 and semester 2. After data filtering, pretest and posttest data obtained from 134 valid questionnaires were used for analysis. The measuring result from the Rasch model has been analysed using SPSS 21, findings included a paired sample t test and the one-within-one-between subject analysis of variance (ANOVA).On the other hand, the qualitative research positively helps collect further

Most IT researches in mathematics education are confined to classroom settings [5], ignoring the surrounding conditions for their practicality. In this paper, an innovative collaboration of three educational parties: teaching frontiers, curriculum developers and academic theorists, e.g.[1], are all involved.The 3 authors endeavor to: (i) address pedagogical, teacher-training, policymaking problems when the parties are functioning separately without mutual adaptation at present and share value-dilemmas encountered by the three educational parties in Hong Kong; (ii) adopt and examine an integrated school (hybridizing ‘top-down’ and ‘down-up’) approach in perpetuating regionalised IT school culture in order to consolidate forthcoming school-based mathematics curricula in Hong Kong and even other Asian countries in the next century; (iii) discuss some activities on using various components of IT in teaching and learning mathematics in day-time lessons and after-school activities by the new approach. Copyright © 1999 Asian Technology Conference in Mathematics.

Explorable areas concerning actual impacts of computer usage on various types of related activities after school on student learning, and relationship between time spent on those activities and student personality styles (in terms of social and intellectual selves and learning attitudes) have still been under-researched in local and international perspectives. This study aims to fill up these research gaps by studying 528 Secondary 1-3 (Grade 7-9) students, aged from 12 to 16, in a secondary school in Hong Kong in terms of a questionnaire to record their activities on using computers after school and to identify their personality styles in Hong Kong. By taking mid-term school examination results for granted, the study not only reveals correlation between examination marks and time using computers, but also depicts variation of their participating activities on using computers. Copyright © 2006 The authors. All rights reserved.

This qualitative study investigated the impact of online education on the learning and peer interaction experiences of students from eight universities in Hong Kong over the COVID-19 pandemic in 2020. It employed an expansive and spatial notion of translanguaging to explore the process by which students drew on the affordance of virtual communication environments to communicate, study and develop new identities. The findings suggested (1) the students strategically mobilised manifold multimodal resources to constitute their communicative repertoires that facilitated smooth intercultural communication and academic success; (2) such communicative competence centralized the mediating effect of digital semiotic systems and thus might empower the students with disadvantaged language skills; and (3) through translanguaging acts the students developed a virtually translocal identity with an expanded experience of internationalisation of higher education whereby the increasingly interwoven physical and virtual spaces bring extended social networks, learning resources, and career opportunities. The implications of the findings were discussed. Copyright © 2022 Informa UK Limited, trading as Taylor & Francis Group.

In Hong Kong, after-school activities have long been used to foster friendships and to allow students to pursue their interests in an informal setting. This case study reports on a three-phase action research process in which information technology teachers delivered after-school activities focused on artificial intelligence during the COVID-19 transition to remote learning. Using semi-structured interviews, a motivational questionnaire, and lesson observations, this study describes how extracurricular activities were delivered online using social networking sites and how students perceived the new experience. Our results suggest that, in order to deploy meaningful activities via social media, teachers need to build collaborative environments that facilitate social engagement among students. These findings have implications for new practices in social media and other blended technologies, and can help students strike a healthy balance between their academic and non-academic life during this challenging period. Copyright © 2021 Online Learning.