Description
As technology advances, so must our education system. Cloud computing serves as an ideal method for e-learning thanks to its flexibility, affordability, and availability. Cloud-based learning is especially dynamic in STEM education, as it can significantly lower the cost of building cumbersome computer labs while fostering engaged learning and collaboration among students.
The Handbook of Research on Cloud-Based STEM Education for Improved Learning Outcomes prepares current and future instructors for exciting breakthroughs in STEM education driven by the advancement of cloud technologies. From virtual lab and app construction, to information sharing and course material distribution, this volume touches on a variety of topics related to the benefits and challenges of adopting cloud technologies in the classroom. This book is an invaluable reference for educators, technology professionals, administrators, and education students who wish to become leaders in their fields.
Reviews and Testimonials
Information technology and education specialists from around the world present 25 articles on the use of cloud computing in STEM (science, technology, engineering, and math) education for improved learning outcomes. They address cloud adoption, STEM requirements for cloud computing, learning STEM subjects in the cloud environment, support for cloud-based scientific application software and mobile learning, the impact and barriers to cloud computing in STEM education, security issues, cloud applications, pros and cons, open-source cloud products, and more.
– ProtoView Reviews
Author's/Editor's Biography
Lee Chao (Ed.)
Lee Chao is currently a professor of math and computer science in the School of Arts and Sciences at University of Houston – Victoria, USA. He received his Ph. D. from the University of Wyoming, USA, and he is certified as Oracle Certified Professional and Microsoft Solution Developer. His current research interests are data analysis and technology-based teaching. Dr. Chao is also the author of over a dozen of research articles in data analysis and math modeling, and books in the development of computer labs and database systems.