|
Today, engineering education organizations have been addressing new professional challenges, guided by general concerns, such as teamwork abilities, argumentation and persuasion abilities in multiple social contexts, creativity, complexity handling, and leadership or strong work ethics. The intelligent services have become a novel topic for interesting researchers and developers in academic area e-learning and engineering education. It is foreseeable that smart devices are deployed at the cloud-based services. The development of the educational system is fundamental for sustainable technological change using the smart devices and Internet of Things (IoT) applications. In other hand, machine learning methods can apply and improve the teaching practices in e-learning and education through many ways and that is the main reason that we need to further examine the involvement of intelligence techniques for education procedures in IoT environment. This special issue will be developing methods and applications of intelligent services for e-learning and education in some new challenges of cloud-based IoT applications. Also, This Special Issue focuses on machine learning methods in e-learning and education, regarding any type of cloud-based IoT applications to evaluation of healthcare education, education in smart city, e-learning and technical concepts of educational environments in IoT. This special issue invites researchers to publish selected original articles presenting intelligent trends and systems to solve new challenges of engineering education and learning problems. |
