Computational Thinking in Science Teaching and Learning

The fourth industrial revolution, or Industry 4.0, is characterized by the exponential pace of technology developments covering wide-ranging fields such as artificial intelligence, robotics, autonomous vehicles, 3D printing, nanotechnology, biotechnology, materials science, energy storage, and quantum computing. It is anticipated that it will result in a future that is volatile, uncertain, complex, and ambiguous; this has led to a widespread call for the development of 21st-century skills and competencies among the young, particularly in the science field. Fostering Science Teaching and Learning for the Fourth Industrial Revolution and Beyond considers how we prepare prospective science teachers for the fourth industrial revolution; how we create teacher education curricula that will help pre-service science teachers to be sufficiently versatile in the rapidly changing world; and which key perspectives, processes, methods, and tools have especially promising payoffs in the lives of pre-service science teachers. Covering key topics such as virtual reality, teacher preparation, and science classrooms, this premier reference source is ideal for policymakers, administrators, scholars, researchers, academicians, instructors, and students.