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With the rapid growth of deep learning in recent years and the amazing performance shown by large language models, artificial intelligence (AI) has become popular again. AI, especially deep learning, becomes the most active research topics in recent years. It has enabled great progress in various scientific research domains. Following the trend, various majors in universities and colleges have offered artificial-intelligence-related courses. Given the problems existing in the current teaching of AI related courses, this article discusses several criteria that need to be followed in the teaching reformation of AI courses from two aspects such as the selection of course contents and the innovation of teaching methods. Our aim is to make the AI courses give full play to their due role, to enable students to effectively master theoretical knowledge and, at the same time, obtain the creative abilities to cope with the challenges imposed by the times and solve practical problems.
Zhang et al. (Fri,) studied this question.
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