Digital Teaching Quality Evaluation Model Based on Particle Swarm Optimization Algorithm

To increase the popularity of digital teaching, effective and accurate evaluation of the quality of teaching is demanded. Therefore, a digital teaching quality evaluation model was constructed based on a PSO algorithm to quantitatively analyze and evaluate the digital teaching process using scientific methods and means. The test results indicated that the algorithm accurately reflects the actual situation of digital teaching and supports improving teaching quality.