Artificial intelligence teaching methods in higher education

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Abstract

Artificial Intelligence (AI) is emerging in all industries. In many technical positions, deep learning expertises have been a necessary condition for recruitment. Therefore, the deep learning theory and its practical applications are widely introduced in the AI-related course, named Media and Cognition course. Besides, the environmental awareness and other AI-related research topics, such as Human-Computer interaction and cognitive psychology, are also introduced in this course. Each student was asked to carry out at least one AI project to demonstrate what they have learned about deep learning. The good accuracy, speed and robustness were necessary for these projects. Further requirements were meaningful and efficient interaction with human or external environment. Many specific topics and solutions of AI applications, such as medical, transportation and finance, were proposed by students in the last three years, which implied that the contents and teaching method are practical and productive for novice learners.

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Yang, Y., Sun, J., & Huang, L. (2020). Artificial intelligence teaching methods in higher education. In Advances in Intelligent Systems and Computing (Vol. 1037, pp. 1044–1053). Springer Verlag. https://doi.org/10.1007/978-3-030-29516-5_78

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