Based on the data of 2014-2023 electronic information master's degree graduates from machine vision and intelligent perception research group of an industry-oriented double first-class university in Beijing(college A)and computer vision and image processing research group of an industry-oriented double non-university in a province(college B),this paper aims to meet the demand of artificial intelligence technology innovation for electronic information master's degree.By comparing the published academic papers and employment of graduates from two research groups at different levels of universities,this paper verifies the educational concept of teaching students according to their aptitude by relying on different types of projects,research platforms and training modes to ensure the training quality of electronic information masters in universities.Four improvement mechanisms for further improving training quality were put forward,namely,consolidating basic knowledge,strengthening cooperation and communication,strictly grasping key links and personalized training objectives.
master's in electronic informationtraining objectivestraining qualitytailored educationinnovative education
国家科技期刊平台
NSTL
万方数据
