基于人工智能与数据分析的学习质量评估预警系统设计

Design of teaching quality evaluation and early warning system based on artificial intelligence and data analysis

针对学习质量评估工作中人员短缺、效率低下的现状,文中对人工智能和数据分析技术进行了深入的研究,设计智能化、自动化的学习质量分析预警系统。系统分为评教指标管理、评价管理、结果管理和系统管理四大功能模块,可以根据评价指标智能、快速地完成问卷设计。当用户完成评价结果的录入后,系统数据库内可以快速生成数据表,利用嵌入的层次分析法算法模块进行评价指标体系的梳理,最后使用人工神经网络模型得到评价结果。经对比,智能化的评价结果与现有人工评价结果的一致性可达99.6%。该系统功能完备、交互简单,可以大幅提升学习质量评估的工作效率。

In view of the shortage of personnel and low efficiency in teaching quality evaluation,this paper makes a deep research on artificial intelligence and data analysis technology,and designs an intelligent and automatic teaching quality early warning system. This system is divided into four functional modules: evaluation index management,evaluation management,result management and system management. It can complete the design of evaluation questionnaire according to the convenience and rapidity of evaluation index. When the user completes the input of teaching evaluation results,the system database can quickly generate data table,use the embedded AHP algorithm module to sort out the evaluation index system,and finally use the artificial neural network model to get the teaching evaluation results. By comparison,the consistency between the intelligent evaluation results and the existing artificial evaluation results is 99.6%.In addition,the system has complete functions and simple interaction,which can greatly improve the efficiency of teaching quality evaluation.