Exploration and Practice on the Construction of Artificial Intelligence Fundamentals Course for Liberal Arts Majors in Local Universities
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Weigang Guo, Jianqin Xie, Tianshu Guo
With the continuous development of artificial intelligence technology and the deepening of its application fields, it is very necessary to carry out basic education in artificial intelligence among liberal arts students. At present, only a small number of universities in China have offered basic courses in artificial intelligence, and the course content, teaching methods, and evaluation system are all immature. This article takes Foshan University as an example to design, research, and explore the construction of artificial intelligence basic courses for humanities majors from three aspects. Firstly, from the perspective of the course teaching content system, a collection of artificial intelligence basic course teaching content is formed from the concepts and theoretical knowledge related to computer fundamentals, Python programming, artificial intelligence and applications, as well as artificial intelligence application technologies such as text recognition, image recognition, and speech recognition. Secondly, in terms of teaching methods and methods, students' interest in learning can be enhanced by fully utilizing teaching methods such as online resources and open platforms, and constructing an ideal classroom. The third is to focus on daily experiments and construct a curriculum evaluation method suitable for liberal arts students. From the perspective of practical effects, the above methods are generally effective and have received praise from the majority of students. But at the same time, it is also necessary to further improve the design of teaching content and other aspects, so that students can benefit more from this course.
Fundamentals of Artificial Intelligence, General Education Courses, Teaching Content, Teaching Methods, Course Evaluation, Liberal Arts Majors