Research on Intelligent Evaluation System of Students’ Practical Ability in Robot Teaching

Aiming at the fact that the current robot industry talent evaluation and training system cannot directly and effectively evaluate students’ practical ability, this paper proposes an intelligent evaluation system of practical ability combined with hardware and software. The hardware platform data are not connected, followed by an algorithm model that combines dynamic and static algorithms to automatically score the code submitted by students, and finally proposes a multidimensional comprehensive practical ability model. The practical application results show that the system can accurately make a reasonable judgment on robot programming, and then accurately analyze the students’ practical ability of robots.