Cognitive And Affective Perspectives On Immersive Technology In Education
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Cognitive and Affective Perspectives on Immersive Technology in Education
Immersive technology as an umbrella concept consists of multiple emerging technologies including augmented reality (AR), virtual reality (VR), gaming, simulation, and 3D printing. Research has shown immersive technology provides unique learning opportunities for experiential learning, multiple perspectives, and knowledge transfer. Due to its role in influencing learners’ cognitive and affective processes, it is shown to have great potential in changing the educational landscape in the decades to come. However, there is a lack of general cognitive and affective theoretical framework to guide the diverse aspects of immersive technology research. In fact, lacking the cognitive and affective theoretical framework has begun to hamper the design and application of immersive technology in schools and related professional training. Cognitive and Affective Perspectives on Immersive Technology in Education is an essential research book that explores methods and implications for the design and implementation of upcoming immersive technologies in pedagogical and professional development settings. The book includes case studies that highlight the cognitive and affective processes in immersive technology as well as the successful applications of immersive technology in education. Featuring a wide range of topics such as curriculum design, K-12 education, and mobile learning, this book is ideal for academicians, educators, policymakers, curriculum developers, instructional designers, administrators, researchers, and students.
International Conference on Neural Computing for Advanced Applications
The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023. The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.
Virtual Technology Innovations in Education
Recent developments and events worldwide have accelerated the adoption of virtual teaching and learning strategies across educational sectors. This shift has necessitated the development of innovative means to deliver educational content virtually, ensuring continuity in education. Institutions have responded by leveraging digital platforms, interactive tools, and virtual classrooms to create engaging and accessible learning experiences. These efforts not only maintain academic standards but also expand the reach of education beyond traditional settings, fostering flexibility and inclusivity in how knowledge is shared. As a result, educators and learners are adapting to a new paradigm that prioritizes technological proficiency and innovative pedagogical approaches. Virtual Technology Innovations in Education explores the use of virtual technologies in educational settings. With a focus on the digital transformation of traditional educational practices, it investigates the impact virtual innovations can have on teaching and learning. Covering topics such as artificial intelligence (AI), higher education, and virtual reality, this book is an excellent resource for educators, administrators, policymakers, academicians, researchers, and more.