Editorial

Due to the promising performance of deep neural network models like convolutional neural networks and adversarial generative networks and the rapid development of the high-computing hardware like graphical processing units and tensor processing units, artificial intelligence (AI) techniques have been widely employed in various domain specific applications, including stocking market prediction, disease detection, and diagnosis, administrative decision-making, image/video repairing and so on in the recent years (Hwang et al., 2020).

Although there has been a growing trend in research funds and publications about AI in education (Chen et al., 2020), it is still difficult to identify a well-known AI application in the education field. Therefore, there is a large gap for fully exploiting the potential power of AI techniques in education. Meanwhile, big data, which can further empower AI models during training data, has been increasingly generated in particular by the users of mobile devices in the current mobile era. Therefore, this Special Issue aims to publish high-quality research about AI applications in education in the current mobile era. The submissions have been carefully reviewed by international experts in AI and education. Totally five papers are accepted in this Special Issue after rigorous reviews. Specifically, there are four original research articles and one review article in this Special Issue.