Current And Prospective Applications Of Virtual Reality In Higher Education

For the last decade, virtual reality has been utilized in diverse fields such as entertainment, medicine, and industry. Recently, virtual reality has been applied in educational settings in order to transform student learning and experiences through such methods as building prototypes using digital devices or exploring new cultures through immersive interactions. Teachers who can incorporate virtual reality into their classrooms can provide their students with more meaningful learning experiences and can witness higher engagement. Current and Prospective Applications of Virtual Reality in Higher Education is a cutting-edge academic research book that provides comprehensive research on the integration of virtual reality in education programs and establishes foundations for course design, program development, and institutional strategic planning. The book covers an overall understanding and approach to virtual reality in education, specific applications of using virtual reality in higher education, and prospects and issues of virtual reality in the future. Highlighting a wide range of topics such as gamification, teacher training, and virtual reality, this book is ideal for teachers, instructional designers, curriculum developers, academicians, program developers, administrators, educational software developers, policymakers, researchers, education professionals, and students.

Virtual reality is the next frontier of communication. As technology exponentially evolves, so do the ways in which humans interact and depend upon it. It only follows that to educate and stimulate the next generation of industry leaders, one must use the most innovative tools available. By coupling education with the most immersive technology available, teachers may inspire students in exciting new ways. Emerging Tools and Applications of Virtual Reality in Education explores the potential and practical uses of virtual reality in classrooms with a focus on pedagogical and instructional outcomes and strategies. This title features current experiments in the use of augmented reality in teaching and highlights the effects it had on students. The authors also illustrate the use of technology in teaching the humanities, as students well-rounded in the fields of technology and communication are covetable in the workforce. This book will inspire educators, administrators, librarians, students of education, and virtual reality software developers to push the limits of their craft.

In today’s globalized world, professional fields are continually transforming to keep pace with advancing methods of practice. The theory of adult learning, specifically, is a subject that has seen new innovations and insights with the advancement of online and blended learning. Examining new principles and characteristics in adult learning is imperative, as emerging technologies are rapidly shifting the standards of higher education. The Handbook of Research on Adult Learning in Higher Education is a collection of innovative research on the methods and applications of adult education in residential, online, and blended course delivery formats. This book will focus on the impact that culture, globalization, and emerging technology currently has on adult education. While highlighting topics including andragogical principles, professional development, and artificial intelligence, this book is ideally designed for teachers, program developers, instructional designers, technologists, educational practitioners, deans, researchers, higher education faculty, and students seeking current research on new methodologies in adult education.

Virtual Reality in Higher Education: Instruction for the Digital Age contains eight chapters of graduate student research about how virtual reality is being used in institutions of higher education in specific areas of education, training, and athletic recruitment.

Ethical Considerations of Virtual Reality in the College Classroom collects case studies that address both pedagogical and ethical foundations of extended reality tools in postsecondary learning environments across disciplines. With today’s institutional programs and faculty leveraging cutting-edge virtual, augmented, and mixed reality opportunities to teach and promote achievement goals, it is imperative that new research into these technologies speaks directly to their challenges and affordances within broad academic settings. This book showcases real-world examples of faculty members who chronicle and develop their use of VR tools across learning contexts and student populations by creating their own digital experiences, adapting open-source tools, integrating commercial products, amplifying crucial course content, analyzing outcomes data, and more. Nontechnical readers will come away with a new understanding of key terms and concepts associated with virtual reality and essential heuristics for evaluating the ethical implications of immersive approaches.

Equally grounded in the research and the practical applications developed by the authors over a number of years, this book shows how virtual learning environments could represent the future of higher education. As academics begin to use environments such as Second Life to reach a broader student audience, this volume offers the distance-learning community (administrators, faculty, and students) a different, yet successful, approach to delivering content over the Internet through 3D virtual learning environments that have the potential to transform higher education. Covering a broad spectrum of frameworks, from commercial multiplayer video games to online learning, the book shows just how powerful these environments can be in the arena of education, and concludes that data-driven practice will ensure almost universal take-up, even among those currently unwilling to use V-learning. The authors provide numerous practical examples of distance learning in its current state of development, as well as making informed predictions about how future environments might evolve. This much-needed book is right at the cutting edge of its subject, and comes at a time when research in both educational gaming and distance learning are converging.

The need for tailored data for machine learning models is often unsatisfied, as it is considered too much of a risk in the real-world context. Synthetic data, an algorithmically birthed counterpart to operational data, is the linchpin for overcoming constraints associated with sensitive or regulated information. In high-dimensional data, where the dimensions of features and variables often surpass the number of available observations, the emergence of synthetic data heralds a transformation. Applications of Synthetic High Dimensional Data delves into the algorithms and applications underpinning the creation of synthetic data, which surpass the capabilities of authentic datasets in many cases. Beyond mere mimicry, synthetic data takes center stage in prioritizing the mathematical domain, becoming the crucible for training robust machine learning models. It serves not only as a simulation but also as a theoretical entity, permitting the consideration of unforeseen variables and facilitating fundamental problem-solving. This book navigates the multifaceted advantages of synthetic data, illuminating its role in protecting the privacy and confidentiality of authentic data. It also underscores the controlled generation of synthetic data as a mechanism to safeguard private information while maintaining a controlled resemblance to real-world datasets. This controlled generation ensures the preservation of privacy and facilitates learning across datasets, which is crucial when dealing with incomplete, scarce, or biased data. Ideal for researchers, professors, practitioners, faculty members, students, and online readers, this book transcends theoretical discourse.

Technology is constantly evolving, and machine learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest machine learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. Academic scholars seeking to unlock the potential of machine learning in the context of Industry 5.0 and advanced IoT applications will find that the groundbreaking book, Methodologies, Frameworks, and Applications of Machine Learning, introduces an unmissable opportunity to delve into the forefront of modern research and application. This book offers a wealth of knowledge and practical insights across a wide array of topics, ranging from conceptual frameworks and methodological approaches to the application of probability theory, statistical techniques, and machine learning in domains as diverse as e-government, healthcare, cyber-physical systems, and sustainable development, this comprehensive guide equips you with the tools to navigate the complexities of Industry 5.0 and the Internet of Things (IoT).