This book constitutes the refereed post-conference proceedings of the IFIP TC 3 Open Conference on Computers in Education, OCCE 2021, held in Tampere, Finland, in August 2021. The 22 full papers and 2 short papers included in this volume were carefully reviewed and selected from 44 submissions. The papers discuss key emerging topics and evolving practices in the area of educational computing research. They are organized in the following topical sections: Digital education across educational institutions; National policies and plans for digital competence; Learning with digital technologies; and Management issues.

This book presents a collection of meta-studies, reviews, and scientometric analyses that together reveal a fresh picture about the past, present, and future of computing education research (CER) as a field of science. The book begins with three chapters that discuss and summarise meta-research about the foundations of CER, its disciplinary identity, and use of research methodologies and theories. Based on this, the book proceeds with several scientometric analyses, which explore authors and their collaboration networks, dissemination practices, international collaboration, and shifts in research focus over the years. Analyses of dissemination are deepened in two chapters that focus on some of the most influential publication venues of CER. The book also contains a series of country-, or region-level analyses, including chapters that focus on the evolution of CER in the Baltic Region, Finland, Australasia, Israel, and in the UK & Ireland. Two chapters present case studies of influential CER initiatives in Sweden and Namibia. This book also includes chapters that focus on CER conducted at school level, and cover crucially important issues such as technology ethics, algorithmic bias, and their implications for CER.In all, this book contributes to building an understanding of the past, present and future of CER. This book also contributes new practical guidelines, highlights topical areas of research, shows who to connect with, where to publish, and gives ideas of innovative research niches. The book takes a unique methodological approach by presenting a combination of meta-studies, scientometric analyses of publication metadata, and large-scale studies about the evolution of CER in different geographical regions. This book is intended for educational practitioners, researchers, students, and anyone interested in CER. This book was written in collaboration with some of the leading experts of the field.

Active Learning for Digital Transformation in Healthcare Education, Training and Research discusses the potential of advanced training of health professionals as a contributing factor to improve treatment outcomes. By reading this book, professionals who deal with patients with low health literacy will be prepared to promote better access to digital tools, understand the habits of users of health services, and empower engagement. The book contains a set of techniques and instruments associated with health literacy, communication skills and personal development that will enable their application in good daily practices and assist healthcare professionals to promote digital transformation to patients. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about how they can be an effective agent of change in healthcare. - Discusses the potential of patient education through the training of health professionals to improve patient engagement and adherence to treatment - Presents techniques from real-world examples to demonstrate the efficacy of better communication between health professionals and patients, especially in the digital medicine era - Outlines digital tools that can be used to strengthen the healthcare professional-patient relationship

It all began when the world’s first business school, the European School of Commerce Paris (ESCP), was established in 1819. Criticism notwithstanding, business schools have since continued their path in higher education without facing existential metamorphoses. Covid-19, however, has accelerated business schools’ digital transformation, calling into question the concept of business school itself. Business schools are in a new competitive landscape and profound structural changes seem inevitable. This concise text offers insights into how business schools should rethink their approach to management education, differentiate themselves from new players in the higher education market, and find innovative ways of doing things. The book is a survival toolkit for leadership teams across the world. It examines the rationale of business school and how it has evolved. The purpose of research is explained, and the teaching of management is explored. Kaplan analyzes the current business model in the digital environment. He looks at the business of accreditations and rankings and branding and community-building as strategies to address competition. The book concludes by looking at change leadership at business schools. It will interest both leaders of established academic institutions and alternative educational providers from edtech and big tech planning to enter the management education market.

Management and Organization Studies

Written during the COVID pandemic, this book offers a unique, timely insight into the acceleration of digitalization in higher education.

In order to remain competitive, organizations must adapt to transforming environments at a rapid pace. As such, managers and employees need to constantly update their knowledge and skills, particularly as businesses become more digital and global. Educational and Social Dimensions of Digital Transformation in Organizations provides emerging research exploring the theoretical and practical aspects of evolving organizations and maintaining sustainable business strategies through digital environments. Featuring coverage on a broad range of topics such as consumer relationships, organizational knowledge, and enterprise social networks, this publication is ideally designed for graduate-level students, managers, educational administrators, IT professionals, researchers, and system developers seeking current research on organizational preparedness and technological adaptation.

This book examines the history, recent developments, and direction of travel of Russian teacher education. It draws on scholarly expertise and professional experience in Russia and locates the policies and practices that are discussed within the context of the continuing global reform of teacher education. Providing a rich description of the trajectory of teacher education in Russia, the book analyses the processes of change between the history, current practice, and future directions for Russian teacher education. The chapters consider the relationship between research, policy, and practice and examine the respective influences of the former USSR, of processes of wider reform in the Russian Federation since 'glasnost' and 'perestroika', and of globalisation within education. What emerges from the book is that the Russian case is a prime example of 'vernacular globalisation' in teacher education. Many important insights into processes of education reform and some of the major themes in teacher education are discussed, thus providing new perspectives that are likely to be of interest to scholars and researchers of comparative education and teacher education, as well as policymakers.

Emotional intelligence has emerged as an important area of research in the artificial intelligence field as it covers a wide range of real-life domains. Though machines may never need all the emotional skills that people need, there is evidence to suggest that machines require at least some of these skills to appear intelligent when interacting with people. To understand how deep learning-based emotional intelligence can be applied and utilized across industries, further study on its opportunities and future directions is required. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence explores artificial intelligence applications, such as machine and deep learning, in emotional intelligence and examines their use towards attaining emotional intelligence acceleration and augmentation. It provides research on tools used to simplify and streamline the formation of deep learning for system architects and designers. Covering topics such as data analytics, deep learning, knowledge management, and virtual emotional intelligence, this reference work is ideal for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.