因材施教确保高校电子信息类硕士培养质量研究

Research on Training Quality of Electronic Information Master in University Ensured by the Principle of Teaching Students in Accordance with Their Aptitude

针对人工智能技术革新对电子信息类专业硕士的能力需求,基于北京某行业型部属“双一流”高校(高校A)机器视觉与智能感知研究组和某省属行业型“双非”高校(高校B)计算机视觉与图像处理研究组2014—2023届电子信息类硕士毕业生的相关数据,对比不同层次高校两个研究组毕业生发表学术论文情况和就业情况,验证针对不同培养目标依托不同类型项目、科研平台和培养模式进行因材施教确保高校电子信息类硕士培养质量的教育理念,提出夯实基础知识、加强合作交流、严抓关键环节和个性化培养目标四项进一步提高培养质量的改进机制。

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.