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Impact of intelligence methodologies on education and training process

This special issue entitled Impact of Intelligence Methodologies on Education and Training Process contains a collection of research articles that focus on the use of intelligence methodologies such as artificial intelligence, machine learning, deep learning, and computer vision for education and training processes. The theme of the issue is the use of advanced technologies for education and training. Specifically, it focuses on the application of data science and machine learning methodologies in all aspects of modern education such as pedagogy management, E-learning, virtual lab management, improving hands-on online teaching methodologies, etc. The key objective is to share and exchange innovative ideas and experiences in modern education with evolving intelligent technologies. Today there are many successful applications of machine learning methodologies for education. A number of papers in this special issue apply machine learningbased models for the semantic annotation of English language educational resources. It creates linear decision-making models with machine learning algorithms such as support vector machine (SVM) and convolutional neural networks (CNN) to effectively address the issues of present-day E-learning platforms, specifically in the context of English language educational resources. Other papers focus on enhancing teaching and learning methodologies with artificial intelligence techniques. Since E-learning platforms are consid-