Extended reality has been applied in training and educational settings to transform teaching and learning experiences through immersive environments. The incorporation of extended reality into classrooms and training sessions can provide students and trainees with more meaningful learning and training experiences by increasing their motivation. Besides being able to be used in the classroom to illustrate complex concepts, simulations, and scenarios, extended reality has numerous applications in professional training to discover solutions to problems to learn how to respond to dangerous circumstances without putting their own life or the lives of others at risk.

Methodologies and Use Cases on Extended Reality for Training and Education presents the forefront of research regarding the integration of extended reality in training and educational programs and establishes the foundations for course design, program development, and institutions’ training and education policy planning. It provides an overall approach to extended reality in education without failing to mention applications of using extended reality in institutions of different levels of education. Covering topics such as 3D visualization, student perceptions, and laboratory virtualization, this premier reference source is a dynamic resource for instructional designers, curriculum developers, program developers, faculty and administers of both K-12 and higher education, educational software developers, educators, pre-service teachers, teacher educators, government officials, researchers, and academicians.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

3D Visualization
Artificial Intelligence
Classroom Conflict Management
E-Learning Environments
Engineering Education
Extended Reality Technologies
Laboratory Virtualization
Learning Management Sections
Student Perceptions
Teacher Training
Virtual Twin
Workforce Training

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Editor/Author Biographies

Anacleto Correia (M) is an Associate Professor and lecturer of Management and Information Systems subjects at the Portuguese Navy Academy. He holds a Ph.D. in Computer Science, an M.Sc. in Statistics and Information Management, a B.Sc. degree in Management, and also a B.Sc. at Portuguese Naval Academy. His research interests are focused on requirements engineering, software engineering, process modeling, data mining, machine learning, and business engineering. He has also more than 20 years of experience in industry-leading projects and architecting large software development projects and is the author of several scientific papers in journals and conference proceedings.

Vítor Viegas (M’16 SM’22) works as a Researcher at the Instituto de Telecomunicações, Instrumentation and Measurement Group, Lisboa; as an Assistant Professor at the Escola Naval, Almada; and as an Invited Adjunct Professor at the Polytechnic Institute of Setúbal, Setúbal, Portugal. His research interests concern electronic instrumentation, measurement systems and industrial informatics. He is the author of national patents, book chapters, articles in peer-reviewed indexed journals, and papers in international conference proceedings. He has been involved in several research projects financed by the Portuguese State and the European Union.

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