【摘要】 高校开设了很多应用性和专业性很强的实验课，以培养学生的分析应用和动手操作能力，而实验课的学生往往较多，导致教师无法对学生进行逐一过程监测和记录。为此，结合长短期记忆（long short-term memory,LSTM）神经网络技术，设计了一种智能计分系统以自动记录学生的实验操作，利用网络学习训练得到智能评判模型，给出实验过程操作成绩，并制作相应的电子实验装置。同时，融合网络化技术，通过配置实验成绩服务器，设计教师端智能移动App，构建实验课综合教学系统。实验课测试结果表明该系统能够较好地运行。更多还原

【Abstract】 In order to cultivate students’ analytical application and practical operation ability, lots of practical and professional experimental courses have been set in colleges and universities. But these courses suffer from the large quatity of students in the course, which makes it impossible for the experiment teacher to monitor and record the process of students one by one. In view of this, the study integrates long short-term memory(LSTM) neural network technology to design an intelligent scoring system that automatically records students’ experimental operations. The system uses network learning and training to obtain an intelligent evaluation model, which provides scores for the experimental process. Moreover, the corresponding electronic experimental equipment is also fabricated. Additionally, by incorporating network technology and configuring an experimental score server, a teacher-side intelligent mobile App is designed to build a comprehensive teaching system for experimental courses. The test results from the experimental courses show that the system operates quite well.更多还原