Construction of Instructional Quality Assessment Model of Tourism Management Specialty Based on BPNN Algorithm

With the growth of the times, more and more people now choose tourism management major. The quality assessment of practical teaching of tourism management specialty is a difficult problem in the practical teaching of tourism management specialty in universities, and it is also an important part of the instructional plan of tourism management specialty in universities, and the main way of practical instructional reform of tourism management specialty. Therefore, it is of great significance to establish a comprehensive management and monitoring system for the instructional quality of tourism management majors, which is in line with the development characteristics of students now, with full monitoring and students' participation. Based on this, this article constructs a instructional quality assessment model of tourism management specialty based on BPNN (Back propagation neural network) algorithm. The final simulation results show that the instructional quality assessment model of tourism management specialty constructed in this article overcomes the subjective factors of experts in the assessment process, and the assessment accuracy of the model can reach 95.77%. The monitoring and assessment of instructional quality of tourism management specialty based on BPNN can make students clear their learning goals and the degree they should achieve after learning, and use effective learning time to achieve the best learning effect.