Design of Teaching Expert Evaluation System Based on Artificial Intelligence

Xiaomin Zhao
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引用次数: 2

Abstract

In order to improve the teaching evaluation expert system intelligent and real-time performance, reduce the teaching expert evaluation system output error rate, improve the accuracy of teaching expert evaluation, a teaching expert evaluation system design method is proposed based on Internet and artificial intelligence. The overall design framework for teaching expert evaluation system, the design of network teaching the expert evaluation system of artificial intelligence chaos control method using a one-way chain network, the transmission control protocol for online teaching evaluation and monitoring information recognition, to improve the real-time transmission capability assessment information teaching, to collect multimedia monitoring information into the signal conditioning module, multimedia information monitoring and scheduling in the open the application programming interface. Combined with the artificial intelligent control method to realize remote control teaching expert evaluation system, through the PIC bus will be teaching expert evaluation data acquisition to the PC machine, DSP after receiving the signal after signal processing and playback, the artificial intelligence control of teaching expert evaluation system is realized. The test results show that this method of teaching design expert system with artificial intelligence, it has good data information fusion ability.
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基于人工智能的教学专家评价系统设计
为了提高教学专家评估系统的智能化和实时性,降低教学专家评估系统的输出错误率,提高教学专家评估的准确性,提出了一种基于互联网和人工智能的教学专家评估系统设计方法。本文对教学专家评估系统进行了总体设计框架,设计了网络教学专家评估系统的人工智能混沌控制方法,采用单向链网络,通过传输控制协议对在线教学评估和监控信息进行识别,提高教学评估信息的实时传输能力,将采集到的多媒体监控信息输入信号调理模块;多媒体信息监控和调度在开放的应用程序编程接口。结合人工智能控制方法实现远程控制教学专家评价系统,通过PIC总线将教学专家评价数据采集到PC机,DSP接收到信号后进行信号处理和回放,实现对教学专家评价系统的人工智能控制。测试结果表明,该方法设计的人工智能教学专家系统具有良好的数据信息融合能力。
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