Artificial Intelligence and E-Learning

The Edtech sector has grown with the emergence of new ventures at all levels of education and training. A number of experiments are carried out in this domain across the globe. Artificial intelligence is instrumental in helping institutions to engage students, provide personalised learning, and stay profitable. The chapter provides information about prevalent models being used for instruction design. It also includes examples of best practices of using technology in learning across the globe. Case studies of Yuanfudao (China), Embibe (India), Ruangguru (Indonesia), Tonies (Germany), Virti (UK), Examity (USA), and Packback (USA) are part of this chapter.

Ice and snow talent training based on construction and analysis of artificial intelligence education informatization teaching model

Based on the analysis of the artificial intelligence education informatization teaching model for the training of ice and snow talents, this article first builds an artificial intelligence education informatization teaching model, reads and organizes a large number of documents such as big data and personalized teaching of ice and snow talent training. It needs to analyze the existing problems and condense the relevant concepts of educational big data, personalized teaching. We personalized teaching systems based on big data and elaborate on the related theoretical basis. It constructed a visual analysis framework for artificial intelligence teaching data, discussed the realization process and mechanism of data visualization of mixed ice and snow talent cultivation from the two dimensions of timeliness and media form, and introduced the mixed data of numerical and text for visual processing methods. We discussed the interactive presentation process of the visualization results. The research explores the impact of artificial intelligence on the elements of ice and snow talent training instruction design one by one and uses the paradigm migration analysis framework to prove that the ice and snow talent training instruction design paradigm in the context of artificial intelligence has produced a migration.