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Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.

This chapter explores a descriptive theory of multidimensional travel behaviour, estimation of quantitative models and demonstration in an agent-based microsimulation.

A descriptive theory on multidimensional travel behaviour is conceptualised. It theorizes multidimensional knowledge updating, search start/stopping criteria and search/decision heuristics. These components are formulated or empirically modelled and integrated in a unified and coherent approach.

The theory is supported by empirical observations and the derived quantitative models are tested by an agent-based simulation on a demonstration network.

Based on artificially intelligent agents, learning and search theory and bounded rationality, this chapter makes an effort to embed a sound theoretical foundation for the computational process approach and agent-based micro-simulations. A pertinent new theory is proposed with experimental observations and estimations to demonstrate agents with systematic deviations from the rationality paradigm. Procedural and multidimensional decision-making are modelled. The numerical experiment highlights the capabilities of the proposed theory in estimating rich behavioural dynamics.

This chapter reflects on our recent research into China’s soft power in international education, using Confucius Institutes as a case study. It first reveals how we have framed our research in the related field and the methodological issues concerned. It will then analyze the theories and concepts that have been taken as the lenses through which China’s soft power ideas and strategies were compared and contrasted with the theories and/or practices prevalent in the West, while highlighting their implication for the fear of the “China threat.” Finally, we will conclude with the potential areas of further research in the related area of study in the years to come. It is hoped that this chapter will contribute to the development of research in international and comparative education that helps readers to explore in-depth the causality, implication and complication of the “China threat” in the global arena.

HyFlex course design is an effective instructional course design that combines active and transformative learning techniques. HyFlex course design encourages active learning by focusing on interactive activities, discussions, and collaboration. It also allows learners to collaborate effectively and flexibly as a community, providing peer support and opportunities for authentic dialogue and learning experiences. HyFlex course design provides the opportunity for transformative learning through its ability to offer personalized educational experiences to individuals. It facilitates greater customization of the learning experience, allowing individual learners to access tailored educational modules, offer personalized educational experiences to individuals, and effectively develop and build independent and critical thinking skills. This conceptual review, supported by implications from HyFlex literature and triangulated with experts' views undertaking a Delphi study, facilitates understanding the current state of research in HyFlex course design and future application strategies. Existing research has identified HyFlex courses as a promising means of engaging students in active learning. Allowing students to learn through flexibly predesigned mixed online and in-person experiences enables higher levels of student autonomy and supports students in taking more ownership of their learning. This approach can facilitate an understanding of how HyFlex courses can improve active learning practices in higher education. The review study findings identify the reported alignment issues and challenges, suggest four strategies and actions for policymakers and stakeholders, and provide a suggested research agenda for bridging identified research gaps.

Future research can provide evidence of the benefits of HyFlex course design and how flexible course design can address the challenges of traditional face-to-face courses, such as reduced student engagement, lack of student-centered approaches, and limited support for different learning styles. Further research can focus on strategies that can be used to promote active learning in HyFlex courses. Moreover, research can investigate how this kind of course design can equip educators with the skills and knowledge needed to design and implement effective and meaningful active learning experiences. Finally, research can assess the potential impact of HyFlex course design on student outcomes, including performance, satisfaction, and engagement.

Recent development of internet applications and increase in application of various information technology have supported growing demand for new skills related to ICT and internet use, computer literacy and technical digital skills. New technologies have changed many aspects of life and have led to significant differences in digital skills, computer literacy, ICT and internet use along the usual dimensions of social inequality. Purpose of the study is to analyze main challenges and problems of digital inequalities in households in Latvia by regions, territories and income and level of education. Design/Methodology/Approach: This chapter analyzes scientific publication and previous conducted research results and data of Digital Economy and Society Index, Central Statistical Bureau of Latvia (2019) data and Eurostat. Data are analyzed using indicators of descriptive statistics (indicators of central tendency or location – arithmetic mean, mode and median), indicators of variability (indicators of dispersion – range, standard deviation and standard error of mean), cross-tabulations by region, territories, income and level of education and analysis of variance are used. Findings: The results of analysis indicated that there are differences between rural and urban Internet access, socioeconomic differences between people with different income and education that affects their ability to access the Internet and digital skills. Practical implications: Latvia would benefit from motivating life-long learning, investing on digital technology and raise awareness of the importance of digitization. Originality/value: The results of this chapter can provide valuable pointers for decision-makers how to improve digital skills and digitalization process in regions of Latvia and how digital inequality can be reduced.

This research aims to explore the impact of augmented reality (AR), the digital technology that superimposes virtual elements in a real environment, on consumers in the context of experiential marketing. Specifically, this study proposes a research model based on the stimulus-organism-response model, which considers AR media characteristics as external stimuli, consumers’ value perceptions as the organisms, and purchase intentions as the responses. The research model was tested with 248 consumers using structural equation modelling. The results show that informativeness, ease of use, and telepresence have positive effects on consumers’ utilitarian value perception and that telepresence and interactivity have positive effects on hedonic value perception. Overall, this study contributes to the growing body of knowledge on AR and provides actionable insights for managers implementing digital transformation strategies and AR applications in marketing practices.

Using the theoretical frameworks of public diplomacy and public relations, we mapped how the Chinese government has used panda imagery to build its national brand on Twitter and how this ‘panda diplomacy’ has facilitated its para-diplomatic actions. Our findings uncover new attempts by the Chinese government to engage in digital diplomacy. Mobilizing panda imagery on Twitter enhanced friendly relations with foreign political leaders and people and established a friendly and peaceful image of China on Twitter.

Service employees engage in Emotional Labor (EL), either through surface acting (SA) or deep acting (DA), when they interact with aggressive customers, so that they are able to abide to the organizational rules. Current studies have shown that employees engage only in SA when they interact with aggressive customers due to a number of reasons. Based on this, the authors undertake an exhaustive review and analysis of existing literature on EL, in order to enhance our understanding of the DA concept. Consequent to this analysis, tha authors interrelate and present the various research findings into a unified comprehensive framework for engaging in DA during a service encounter. Conclusively, the authors discuss the implications of the developed framework for the scholar community and management practice in the hospitality industry, and the authors propose various avenues for further research.