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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.

Although our society has made college more universal through vastly increased access to postsecondary education, college completion has stagnated, and the return on a college degree varies by field of study. Therefore, gaining admission to college – even a four-year college – is no longer a guaranteed ticket to social mobility. As colleges and universities attract and enroll more diverse populations of students, the barriers to student success once enrolled remain prominent concerns. To explore stratification processes regarding student success, choice of major, and completion, interviews were conducted with 41 low-income students at a large research university. These interviews illustrate the ways that students’ aspirations are lowered after entering college and how the cooling-out process functions within STEM majors. The primary catalyst facilitating the lowering of student aspirations and migration out of STEM majors was negative experiences in introductory math and science courses. Students responded to this catalyst by either lowering their aspirations or changing their behavior to improve performance in those courses. Students who were able to persist in STEM majors had a family member or mentor who helped them to frame the problem as a reflection of their behavior, not their innate ability, and to strategize behavioral changes. Institutional agents played both the role of support which helped some students maintain their aspirations and the role of steering students out of STEM illustrating the importance of the messages we send as advisors, student affairs professionals, or faculty. These findings demonstrate the ways in which the cooling-out process works in four-year institutions to perpetuate structures of opportunity within degree attainment and access to elite careers.

Autonomy has long been established as a critical component of professional work. Traditionally, autonomy has been examined as the extent to which an individual or a professional group controls the decisions and knowledge used in their work. Yet, this framework does not capture the additional work activities that professionals are increasingly expected to perform. Therefore, this chapter argues for theoretically expanding our understanding of professional autonomy by bringing in the concept of articulation work. Using the case of healthcare organisational change, this study assesses how shifts in work practices impact autonomy. Data come from longitudinal ethnographic fieldwork and in-depth interviews conducted at a Neonatal Intensive Care Unit as it underwent significant structural changes. Findings show that professionals were forced to change articulation work strategies in response to new organisational structures. This included changes in the way professionals monitored, assessed, coordinated and collaborated around patient care. Furthermore, these shifts in articulation work held important implications for both workplace and professional autonomy, as professionals responded to changes in their work conditions.

While digital technologies have led to many important social and cultural advances worldwide, they also facilitate the perpetration of violence, abuse and harassment, known as technology-facilitated violence and abuse (TFVA). TFVA includes a spectrum of behaviors perpetrated online, offline, and through a range of technologies, including artificial intelligence, livestreaming, GPS tracking, and social media. This chapter provides an overview of TFVA, including a brief snapshot of existing quantitative and qualitative research relating to various forms of TFVA. It then discusses the aims and contributions of this book as a whole, before outlining five overarching themes arising from the contributions. The chapter concludes by mapping out the structure of the book.

In this chapter, we contribute to the conceptualization of self by engaging in a self-study of teacher education practices in which we distilled our perspectives on incorporating mindfulness in teacher education. Mindfulness is currently incorporated in teacher learning and education mostly toward stress-reduction and well-being, yet its ancestries stress its role as a path toward self-knowledge. Working in teacher education departments set in Israel, on the one hand, and Canada, on the other, we describe the place of the practice in our personal lives and articulate how we view its contribution to teacher education. Specifically, we focus on how “self” features in our endeavors, by examining “who it is” in the teacher that we seek to evoke/invoke by the application of mindfulness? We engaged in dialogue and reflective writing, in which each of us served as the other's critical friend in an attempt to clarify our different views. Oren emerges with a view of mindfulness as invoking “self as moment-to-moment experience” and the “teleological self,” both crucial for teachers. These senses of self mobilize us away from sociopolitical identities toward human-to-human relationships and reground teachers in the values they view as core to their call to teach. Conversely, Karen stresses the practice as a primer for situating the self in the sociopolitical. It enables deeper engagement in critical pedagogy, invoking teachers' “fluid self” situated in open-mindedness. Here mindfulness becomes a practice of social justice that allows us to acknowledge marginalized voices. Highlighting these different approaches, we contribute to the understanding of the role of mindfulness in teacher education. In particular, we extend the practice's main positioning within teacher well-being to its role within the discourse of teacher identity.

The Hanbo (meaning Korean treasure) scandal or “Hanbogate” occurred on January 23, 1997, with the bankruptcy of Hanbo Iron and Steel Company, the second largest steel company and 14th largest conglomerate in South Korea, as its debt had accumulated to US$5.6 billion. Hanbo's bankruptcy triggered an investigation by the Public Prosecutor's Office that resulted in the imprisonment for 15 years of Hanbo's founder, Chung Tae-Soo, for bribing politicians and bankers to pressure banks to extend hugh bank loans to Hanbo. Nine other persons were also convicted including Chung's son, who was jailed for three years for bribery and embezzlement, and Kim Hyun-Chol, the second son of President Kim Young-Sam, who was sentenced to three years jail and fined US$1.5 million (New York Times, 1997).