“移动互联网+人工智能”实践教学考核系统的研究与实现

Research and Implementation of Practical Teaching Assessment System Based on "Mobile Internet + AI"

本文利用移动互联网、大数据和人工智能技术实现了实践课程教学的智能化考核系统。系统通过建立神经网络模型进行深度学习,使得实践课程的教学和测评过程更加智能化、科学化、精准化和高效化,优化了教师对实践教学的组织、管理、监督和评价的过程;同时能够实时实地反映每位学生的学习状态、实践进度,并将学习效果及时推送给学生本人,提高了实践课程的教学质量。

This paper uses mobile Internet, big data and artificial intelligence technology to realize the intelligent assessment system of practical course teaching. Through the establishment of neural network model for deep learning, the system makes the teaching and evaluation process of practical courses more intelligent, scientific, accurate and efficient, optimizes the process of organization, management, supervision and evaluation of practical teaching by teachers;at the same time, it can reflect the learning status and progress of each student in real time, and timely push the learning effect to students The teaching quality of practical courses has been improved.