Deep Learning-Based Personalized Course Content Push Algorithm for Embedded Professional Teaching
摘要
This paper explores and studies the embedded system teaching reform from four aspects: the construction of embedded system curriculum system, the application of comparative education and learning transfer teaching methods, the organization and content setting of practical teaching links, and scientific research practice, and emphatically expounds the importance of practical teaching links to embedded system teaching. With the advent of the Internet of Things era, embedded system, as an important part of the Internet of Things, plays an important role. The development of society puts forward higher requirements for the training of embedded talents and course teaching in colleges and universities. The author analyzes the characteristics and present situation of embedded system courses, and puts forward a series of reform measures from the aspects of course system, content setting, teaching methods, practice teaching, etc., aiming at the existing problems in current teaching and combining with the characteristics of students in computer department of Yuncheng University. Practice shows that the curriculum reform has a good effect. Among them, the theoretical teaching part emphasizes the learning and application of students’ comprehensive knowledge and ability, while the experimental teaching, on the basis of basic experiments, designs functional experiments, emphasizes students’ independent choice, and further designs the innovative practical content of “small embedded system development”. The flexible and diverse teaching methods are put forward, so that the teaching content and systematic view can really be conveyed to students.