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Courses in computer programming combine a number of different concepts, from general problem-solving to mathematical precepts such as algorithms and computational intelligence. Due to the complex nature of computer science education, teaching the novice programmer can be a challenge. Innovative Teaching Strategies and New Learning Paradigms in Computer Programming brings together pedagogical and technological methods to address the recent challenges that have developed in computer programming courses. Focusing on educational tools, computer science concepts, and educational design, this book is an essential reference source for teachers, practitioners, and scholars interested in improving the success rate of students.
Incorporating new methods and approaches in learning environments is imperative to the development of education systems. By enhancing learning processes, education becomes more attainable at all levels. The Handbook of Research on Instructional Systems and Educational Technology is an essential reference source for the latest scholarly research on new models, trends, and data for solving instructional and learning challenges in education. Featuring extensive coverage on a wide range of topics such as distance education, online learning, and blended learning, this publication is ideally designed for academicians, practitioners, researchers, and students seeking current research on the latest improvements in instructional systems.
A crucial element in ensuring patient safety and quality of care is the proper training of the next generation of doctors, nurses, and healthcare staff. To effectively serve their students, health science educators must first prepare themselves with competencies in pedagogy and curriculum design. Transformative Curriculum Design in Health Sciences Education provides information for faculty to learn how to translate technical competencies in medicine and healthcare into the development of both traditional and online learning environments. This book serves as a reference for health sciences undergraduate and graduate faculty interested in learning about the latest health sciences educational principles and curriculum design practices. This critical reference contains innovative chapters on transformative learning, curriculum design and development, the use of technology in healthcare training through hybrid and flipped classrooms, specific pedagogies, interprofessional education, and more.
In the twenty-first century, learning—and the definition of education—is changing. New digital, online, and social tools have the ability to transform the classroom and engage learners like never before. In the midst of this technological revolution, it is crucial for educators and administrators to be able to gauge the impact of digital tools on learners in a variety of settings. Measuring and Analyzing Informal Learning in the Digital Age addresses the need for educators, administrators, and professionals across industries to be more attentive to the learning process outside of a traditional classroom setting. As online learning, and MOOCs in particular, become more mainstream, tracking informal learning becomes difficult despite the necessity of feedback and measurement in non-formal learning environments. Investigating some of the primary technologies being used in educational settings and how a less structured and more open learning environment can effectively motivate students and non-traditional learners, this premier reference is a crucial source of information for educators, administrators, theorists, and other professionals in the field of education.
Concept mapping has often been acknowledged as an efficient instrument for aiding students in learning new information. Examining the impact this tool provides in STEM fields can help to create more effective teaching methods. Advanced Concept Maps in STEM Education: Emerging Research and Opportunities highlights both the history and recent innovations of concept maps in learning environments. Featuring extensive coverage of relevant topics including object maps, verbal maps, and spatial maps, this publication is ideal for educators, academicians, students, professionals, and researchers interested in discovering new perspectives on the impact of concept mapping in educational settings.
Improving STEM (science, technology, engineering, and mathematics) education and strengthening the STEM workforce have long been acknowledged as national priorities. Ceaseless efforts have been made to address these national priorities through educational research, innovative STEM education initiatives, and professional development for teachers. Engaging STEM Students From Rural Areas: Emerging Research and Opportunities is an essential reference source that discusses the potential of rural schools to impact the STEM workforce pipeline, as well as Project Engage, an educational program for preparing rural undergraduate students from the Alabama Black Belt region. Featuring research on topics such as the three-pillar approach for preparing tomorrow’s STEM professionals, this book is ideally designed for academicians, STEM educational researchers, STEM educators, and individuals seeking coverage on techniques to improve the undergraduate STEM education framework.
As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.
Recent Advances in Chaotic Systems and Synchronization: From Theory to Real World Applications is a major reference for scientists and engineers interested in applying new computational and mathematical tools for solving complex problems related to modeling, analyzing and synchronizing chaotic systems. Furthermore, it offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory and nonlinear systems from 19 countries (Cameroon, China, Ethiopia, France, Greece, India, Italia, Iran, Japan, Mexico, and more), this book covers the latest advances in chaos theory, along with the efficiency of novel synchronization approaches. Readers will find the fundamentals and algorithms related to the analysis and synchronization of chaotic systems, along with key applications, including electronic design, text and image encryption, and robot control and tracking. - Explores and evaluates the latest real-world applications of chaos across various engineering and biomedical engineering fields - Investigates advances in chaos synchronization techniques, including the continuous sliding-mode control approach, hybrid synchronization between chaotic and hyperchaotic systems, and neural network synchronization - Presents recent advances in chaotic systems through an overview of new systems and new proprieties
Ongoing advancements in modern technology have led to significant developments with smart technologies. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Smart Technologies: Breakthroughs in Research and Practice provides comprehensive and interdisciplinary research on the most emerging areas of information science and technology. Including innovative studies on image and speech recognition, human-computer interface, and wireless technologies, this multi-volume book is an ideal source for researchers, academicians, practitioners, and students interested in advanced technological applications and developments.
Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.