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Open Courseware, in many ways, was the starting point towards mainstream discussion and adoption of open learning, particularly in higher education. In its first iteration, the concept specifically excluded assessment recognition, and credentialisation, which aims to ‘liberate’ knowledge without shattering the designing, teaching and awarding processes traditional education has relied upon for decades, if not centuries.

Learner control is a widely touted and popular element of e-learning, both in the educational and organizational training domains. In this chapter, we explore the concept of learner control, highlighting its multidimensional and psychological nature. We examine the theoretical basis for the effects of learner control on learning and engagement. Next, we provide the reader with empirically based recommendations for designing learner-controlled training. We conclude by discussing how learner control research may be adapted to accommodate a variety of instructional methods, such as textbooks, mobile learning, and Massive Open Online Courses (MOOCs).

As demand for access to colleges and universities prompts higher education systems for creative and efficient solutions, we examine technology-centric approaches to education delivery and their implications for policy, student outcomes, and resource allocation. Our work is framed by Kingdon’s adapted multiple streams theory of national policymaking. However, the real elephant in the room may be the skyrocketing costs of administration that may need wrangling before resources can be directed to the future potential savings obtained through developing infrastructure for, and delivery of, tech-centric teaching approaches. We provide examples and strategies, policy implications, and recommendations for research and practice.

For an extended period of time education was mainly formal, that is a system with clear roles, goals and responsibilities. Education resembled an immutable and closed system with few, if any, connections to other parts of society. However, during the last century significant changes occurred in many areas of society, culminating in global reform movements to democratise education and to increase participation by opening up education. A current and prominent example of such a movement is Open Educational Resources (OER), which is a global attempt to facilitate the flow of knowledge, reduce the costs of education, and establish an educational system based on humanistic and moral values (i.e. sharing). Yet, recent developments are progressing at such an accelerated speed that it is hard to predict the ‘real’ value of OERs for educational purposes. Also, within OER little reference has been made to previous forms of Open Education, such as Open Classroom/Open Learning in the 1960s and 1970s or to the even older German progressive education (Reformpädagogik). Current OE forms can be characterised as a mixture of economical (‘education as a commodity’), moral (‘education as a common good’) and social (‘education as a shared enterprise’) claims, each of which contribute to the emergence of Open Education. This introductory chapter attempts to set the stage for a sound engagement with openness in education. It provides a conceptual framework that discusses major developments throughout the history of Open Education from a philosophical standpoint. Special attention will be paid to the concept of Bildung (self-realisation, self-cultivation) as an in-depth theory that can not only inform what happens when learners utilise OER but also allows one to reflect on the impact of OER on society. Selected cases of Open Education will be reviewed and then framed with the theory of Bildung. Eventually, this will lead to a set of lessons learned that are aimed at guiding current debates on Open Education.

This chapter will explore how assessment might look in next generation learning spaces where we have the potential to merge physical and virtual activities. Students now have ready access to a world of resources within their classroom and this fundamentally changes the nature of learning and assessment. The trend toward gamification of learning and assessment will be examined and the issue of assessment in new educational environments such as MOOCs will be explored. The impact of the semantic web (Web 3.0), where web objects and their context are all linked and objects have memory of how an individual student used them on previous occasions, will be discussed.

Next generation learning spaces encapsulate the affordances of both physical and virtual spaces and yet many assessment tasks are still designed as if students occupied only one of these spaces. Teachers will need to design more authentic, meaningful tasks that will engage students in using the full range of their capabilities and available resources, both physical and virtual. Students come together physically to engage in the social construction of their knowledge and can use the virtual spaces to broaden the social dimension of their learning environment.

Gamification of learning and assessment will require new approaches to defining tasks as teachers will need to decide how to incorporate diagnostic, formative, and summative assessment components within a more holistic educational environment. Game theory will be blended with learning theory in curriculum design and will result in the redesign of learning and assessment activities that are based on engagement (flow), user needs, and an evidence-centered design approach.

This chapter will outline the importance of engaging and informing Generation Z (Gen Z) about gender equality in UK sport governance and leadership. The chapter presents a live case study from an ongoing (2021–2026) European Commission ERASMUS + Sport Collaborative brief entitled Gender Equality Toolkit for Generation Z (GETZ) project. The theory explaining Gen Z behaviours, expectations and educational requirements will be explored as well as a review of the links between high participation rates and leadership roles in sport for men and the low participation rates and leadership roles for women, and how this issue can be addressed through wider awareness and increased education. The remainder of the chapter will introduce the online educational toolkit created through the GETZ project which attempts to build shared accountability for culture change through a teaching and learning community. Furthermore, considerations from the GETZ projects past, current and ongoing research studies related to areas of gender equality and Gen Z perceptions of inequality in sport will be discussed with the view to providing Gen Z with current knowledge on gender inequalities in sport and insight into the processes that reinforce existing inequalities as well as give them the space and skills to bring about long-term sustainable change.

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.