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

Artificial Intelligence in Education (AIED) has been the focus of significant attention in recent years because of its growing social importance and pedagogical value. In Hong Kong, an increasing number of K-12 schools are planning or piloting their grassroots AIED incorporation practices. However, progress is reportedly slow due to a number of barriers. Unfortunately, because of their limited scope, disputed interpretations and contextual irrelevance, current research literature seems to be of limited referencing value in aiding schools to address the issues and overcome the barriers. This paper highlights the necessity of embracing AIED as wide-ranging given the current understanding of it as a collective notion. Three major directions of AIED are identified: Learning from AI, Learning about AI, and Learning with AI. A collective case study, which examined the perceived barriers to AIED incorporation in Hong Kong K-12 schools with different AIED directions, was conducted. Qualitative data were gathered via ten semi-structured interviews with key stakeholders from two schools. Ertmer’s (1999) typology was applied to segregate the barriers. The findings showed that both first-order and second-order barriers existed, although they varied between the cases. It was also found that the barriers did not hinder in isolation but appeared to be interconnected. The findings suggest that schools use differentiated strategies to tackle barriers according to their approach to incorporating AIED. Moreover, there is a need to trace the links between barriers and prioritise school efforts to remove or reduce them with high linkage. Several recommendations for practice are given. Copyright © 2021 The Author(s). Published by Elsevier Ltd.

As digital technology is increasingly a part of all sectors of society, educational approaches must be developed in order to nurture students’ ability to see the world through a computational lens. One way to achieve this goal is to promote Computational Thinking (CT) for young learners. The CoolThink@JC project is a four-year curriculum pilot designed to integrate CT into Hong Kong upper-primary level schools. The CoolThink framework for curriculum development is structured around computational concepts, practices and perspectives adapted from the framework of Brennan and Resnick (2012). This adapted framework motivated the choice of learning activities for CoolThink. This paper focuses on one aspect of that framework, namely computational practices. Here, we describe how activities in the CoolThink curriculum can promote the computational practices highlighted by the framework.
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