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This chapter aims to explore the novelty and utility of political economy discourse, termed “neo-statism,” as an analytical lens for comparative research in higher education. Analysis is framed within the context of Hong Kong’s transition from a British colony to a Special Administrative Region under China’s sovereignty, and its shifting academic paradigms from a more or less spontaneous philosophy rooted in liberal capitalist economy to embracing neo-statism, which involves market-conforming and state-sponsored approaches to economic and social restructuring whereby the state regulates higher education in support of national integration and global power projection. The statist regulation depends heavily on its deployment of discursive legitimacy, strategic distribution of resources, organizational synergy, and elite cohesion articulated through higher education policy, research projects, and cross-border academic exchange and cooperation. The Hong Kong case suggests that comparative research in higher education should advance from the methodological aspects of the comparative approach to exploring wider theoretical spectrum, for understanding emerging politico-economic factors shaping academic paradigm in comparative contexts. Moreover, scholars who engage in the trendy internationalization in higher education should move beyond the logics of neo-liberalism, and pay closer attention to the new geopolitical realities that are changing the normative and interactive dimensions of international higher education at large.

Many master’s students enrol in coursework-based programmes to improve their professional knowledge and skills for the job market. Most studies of employability in higher education focus on undergraduates rather than master’s students, although the number of master’s students worldwide has increased significantly in recent years. This study explores the factors involved in the perceived employability (PE) of master’s students in Hong Kong.

The authors first proposed a conceptual model of PE based on the social cognitive career theory. Using survey data from 786 master’s students in Hong Kong, the authors applied descriptive statistics and an ordinary least squares (OLS) regression to address the following research questions: How do master’s students gauge their PE? How do person, learning and environment variables influence the PE of master’s students?

The authors found that PE is influenced by students' approaches to learning and their institutional career support.

Few studies examined whether students' learning experiences during the master’s programmes influence their employability. This study highlights the importance of learning experiences and career support in coursework-based master’s programmes for enhancing graduate employability.

Developing a sense of belonging among immigrant youth in multicultural contexts has attracted significant attention from scholars during the last few decades. Studies have already underscored how various educational factors hinder or facilitate students’ sense of belonging to the school or the larger society. Although most students in Hong Kong schools are ethnic Chinese, a significant number of non-Chinese children make students diversity an essential aspect of schooling. The study investigated how schools can develop a sense of belonging among ethnic minority youth in Hong Kong.

As the education system in Hong Kong lacks a multicultural education policy, how can schools help develop a sense of belonging to the school and the larger society among young ethnic minority people? To answer this question, this paper consolidates the two sets of data originally gathered for two research projects. The data was collected through semi-structured in-depth interviews with nine secondary school teachers (Chinese and non-Chinese) and 15 students (non-Chinese) and analysed thematically.

The thematic analysis of the qualitative data identified several challenges and opportunities for developing ethnic minority students’ sense of belonging in Hong Kong.

Researchers in comparative education can further explore how multicultural education and inclusive education approach together can help ensure inclusive and equitable quality education for all and cater to students' diverse learning needs across the education systems.

Given that the aims of multicultural education and inclusive education resonate with each other, schools can focus on the Whole School Approach to developing a sense of belonging among ethnic minority youth in Hong Kong. However, policymakers and practitioners may need to adopt a multifaceted perspective on inclusive education that strives to ensure equitable quality education for all.

The study contributes to the existing body of scholarship on multicultural education and inclusive education. The study findings underscore the importance of an interdisciplinary research framework in education and advocate an integrative approach to supporting students with diverse learning needs in multicultural contexts.

The rapid adoption of social media has resulted in a fundamental shift in the way communication and collaboration take place. While social media is recognized as an important marketing communication tool, it has become overlooked how social media marketing activities (user-generated and firm-generated content) influence brand equity creation in the higher education sector. Drawing from social identity theory, this study identifies how higher education institutions develop customer-based brand equity using social media marketing and social brand engagement, taking cross-comparison between high and low subjective norms.

A survey was used to collect data from a sample of 936 undergraduates of private higher education institutions in Sri Lanka and Vietnam. These data were gathered using purposive sampling, and in testing the hypothesis and structure among the variables, structural equation modeling was used to determine the relationship between the study variables.

For the conceptual framework, the authors found that the structural equation model complies with the empirical data. The structural equation model shows that social brand engagement mediates the relationship between user-generated content, firm-generated content and brand equity. Further, the subjective norms were found to moderate the relationship between user-generated content, firm-generated content and social brand engagement, highlighting that the lower the subjective norms the higher the influence on social brand engagement as students receive low pressure and influence from external parties.

The study was conducted at private higher education institutes in Sri Lanka and Vietnam. Future research could benefit from the perceptions of undergraduates in public higher education institutes. Future researchers could widen the diversity of service settings in the sample and replicate this investigation to discover if the results are consistent across the whole services sector.

The current research contributes to the services marketing and branding literature in the higher education context. The paper presents the crucial elements in building brand equity for higher education institutes to fill the existing gaps in higher education branding literature. The findings of the current study provide strategies to improve the higher education sector.

This study systematically maps the research trends in the domain of “shadow education” over the last 40 years using metadata extracted from the SCOPUS database. The results reveal that the outputs of shadow education research have grown exponentially within the last decade. Bray and his colleagues from the University of Hong Kong, East China Normal University, and the Education University of Hong Kong have been the most prolific and influential research team. They are followed by Park and Byun from the USA, who have mostly worked on East Asian contexts. The USA, Hong Kong, South Korea, and the People’s Republic of China, have been the main sources of contributions and the University of Hong Kong has been the leading university in this field. Educational studies, economics, psychology, linguistics, and sociology have been the main disciplines researched within shadow education. Shadow education studies have revealed how shadow education can be a major instrument for maintaining and exacerbating social inequalities. They have also largely focused on the tangible (quantifiable) benefits related to improving students’ examination results. This study’s results stress the importance of regulating the private tutoring market, suggesting areas for ongoing research.

This chapter traces one student teacher's (Joan) experiences of learning to teach English as a second language in a cross-cultural context during a teaching practicum in Hong Kong. The school-based practicum is a core component of many initial teacher education programmes. During this induction period, usually an 8-week block, student teachers are placed in local schools to learn how to integrate theories into practice in real teaching situations. Specifically, I uncover how Joan grappled with the tensions and complexities of teaching young learners from a different cultural and linguistic background, in a small elementary school situated in the borderland between Hong Kong (an autonomous region of China) and Shenzhen (a province of Mainland China).

Critical incidents from Joan's practicum experiences were analysed to uncover how she dealt with the tensions and dilemmas in confronting difference and marginalising practices while learning to teach English as a second language (ESL) in the practicum school. Implications on how to develop initial teacher education programmes so that student teachers learning to teach across cultural contexts can be encouraged to explore, confront and ‘deal with the emotional terrain of understanding difference’ will be discussed (Boler & Zembylas, 2003, p. 123; Zembylas, 2010).

Teacher education for social justice aims to enable teachers to work toward equity and justice in society and humanizing the educational experience of their students. Conceptualizing teaching as a political and ethical endeavor, social justice teacher education must engage seriously with the local and lived experiences of both teacher educators and student teachers. How then does teacher education for social justice move across communities and identities, and through cultural, social, geographic and temporal spaces? This chapter presents an autobiographical narrative inquiry into social justice teacher education across sociocultural and sociopolitical contexts, across time, and within different educational communities. Bakhtin's dialogic theory (1981) helps to trace the narrative threads wherein “each word tastes of the context and contexts in which it has lived its socially charged life” (p. 293). The study examines my ideological becoming (Bakhtin, 1981) as a critical teacher educator in the context of a youth mentoring service-learning course for undergraduate teacher candidates. I examine the complexities and tensions in exploring experiences and co-constructing understandings of oppression, privilege and social justice with my student teachers on the youth mentoring course in dialogic struggles with my experiences of justice and education in the USA and Hong Kong as an English-speaking Chinese American. Providing an in-depth examination of the convergence of identity, social relations, place, and time in my knowledge formation, I critically reflect upon the notion of social justice to suggest that social justice teacher education is multi-voiced and lived both locally and globally.

Researcher agreed that job performance has a positive effect on productivity as well as an organisation’s efficiency. Thus, this study aims to investigate the impact of mindfulness skill, inclusive leadership (IL), employee work engagement and self-compassion on the overall job performance of secondary school teachers in Hong Kong. It then evaluates the mediating effect of employee work engagement between the relationships of mindfulness skill, IL and job performance, as well as the moderate effect of self-compassion between the relationships of mindfulness skill, IL and employee work engagement.

The sample comprised 263 teachers working from three secondary schools in Sha Tin, Hong Kong. The data was then analysed using Smart PLS version 4.0.9.

The results showed significant positive relationships between mindfulness skill and IL towards employee work engagement and between employee work engagement and job performance; meanwhile, there emerged a significant effect on the relationship between mindfulness skill and IL towards job performance. Furthermore, this research has confirmed that self-compassion did not moderate the relationship between mindfulness skill, IL and employee work engagement, but employee work engagement plays a mediating effect on the relationship between mindfulness skill, IL and job performance.

This research has helped to fill the literature gap by examining the mediating roles of employee work engagement and mediator role of self-compassion in the integrated relationship of multi-factor and job performance. Examining the mediating role of employee work engagement has helped to enhance the understanding of the underlying principle of the indirect influence of mindfulness skill, IL and job performance. The result of this research shows that self-compassion plays a vital role in influencing the employees’ work engagement. Hence, it is important that companies design human resource management policy that enables self-compassion to be used as a consideration psychological-related strategy when structing organisation or teams. It is also crucial for top management and policymakers to define and communicate the organisation’s operating principle, value and goals.

Higher education plays an essential role in achieving the United Nations sustainable development goals (SDGs). However, there are only scattered studies on monitoring how universities promote SDGs through their curriculum. The purpose of this study is to investigate the connection of existing common core courses in a university to SDG education. In particular, this study wanted to know how common core courses can be classified by machine-learning approach according to SDGs.

In this report, the authors used machine learning techniques to tag the 166 common core courses in a university with SDGs and then analyzed the results based on visualizations. The training data set comes from the OSDG public community data set which the community had verified. Meanwhile, key descriptions of common core courses had been used for the classification. The study used the multinomial logistic regression algorithm for the classification. Descriptive analysis at course-level, theme-level and curriculum-level had been included to illustrate the proposed approach’s functions.

The results indicate that the machine-learning classification approach can significantly accelerate the SDG classification of courses. However, currently, it cannot replace human classification due to the complexity of the problem and the lack of relevant training data.

The study can achieve a more accurate model training through adopting advanced machine learning algorithms (e.g. deep learning, multioutput multiclass machine learning algorithms); developing a more effective test data set by extracting more relevant information from syllabus and learning materials; expanding the training data set of SDGs that currently have insufficient records (e.g. SDG 12); and replacing the existing training data set from OSDG by authentic education-related documents (such as course syllabus) with SDG classifications. The performance of the algorithm should also be compared to other computer-based and human-based SDG classification approaches for cross-checking the results, with a systematic evaluation framework. Furthermore, the study can be analyzed by circulating results to students and understanding how they would interpret and use the results for choosing courses for studying. Furthermore, the study mainly focused on the classification of topics that are taught in courses but cannot measure the effectiveness of adopted pedagogies, assessment strategies and competency development strategies in courses. The study can also conduct analysis based on assessment tasks and rubrics of courses to see whether the assessment tasks can help students understand and take action on SDGs.

The proposed approach explores the possibility of using machine learning for SDG classifications in scale.

This study aims to examine the process of tourism gentrification from China tourists, a major source market, in two neighbourhoods in Hong Kong: one that has been long exposed to tourism and one that is just being discovered by tourists. Through a series of in-depth interviews with local residents and community leaders, complemented by non-participant observation, the paper tracks the commercial, social and cultural changes that have occurred or are occurring in these two places.

This study evaluates the process of place change through tourism gentrification in two neighbourhoods in Hong Kong that are at different stages of the process. An ontological approach is adopted using an interpretivist paradigm involving in-depth interviews and on-site observations, supplemented by secondary data. These data were complemented by non-participant observation.

Both the places have been transformed due to the influx of mainland Chinese tourists. Some impacts felt by both communities have much in common, such as congestion and shop dislocation, while others are more location specific. Even though the degree of tourism gentrification is different, locals from both locations tend to hold negative perceptions towards tourists, although of different strengths. All have also noted the traditional social cohesion is not as strong as before.

The paper argues that tourism gentrification exists on a continuum as neighbourhoods move seemingly inextricably from local-centric nodes to tourist-centric nodes. Apart from enlightening the theory of tourism gentrification, it provides insights to the local leaders on proper tourism development by balancing the social and economic benefits.