Computer Software Course Teaching System Reform under the Background of Big Data and Artificial Intelligence

Abstract

In the environment of big data and ethnic intelligence, there are new innovations in all walks of life, and various industries and fields have put forward higher requirements for talents. Especially in the emerging computer-related fields and industries, the requirements of various enterprises for computer professionals have gradually increased and increased. Revolutionary changes have taken place in computer education in universities. In this case, as an important place for training technical talents, universities need to effectively innovate and reform computer software teaching based on school-enterprise cooperation in order to train computer talents more suitable for the development needs of the era of big data and artificial intelligence. Therefore, the purpose of this article is to study the reform of computer software course teaching system in the context of big data and artificial intelligence. Conclusions are reached through data analysis, experimental research and other methods. The necessity of reforming the teaching system of computer software courses in universities under big data is analyzed. Then carry out analysis and research from teaching ideas, teaching content, curriculum evaluation and feedback adjustment, and resource construction. Experiments show that the reform of the computer software course teaching system accounts for 65.4% of the verification, and it is more applicable to students. The data in this article provides a reference for the reform of computer software course teaching system.