基于大数据分析的个性化网络智能教学系统设计与实现

Design and Implementation of a Personalized Network Intelligent Teaching System Based on Big Data Analysis

随着互联网技术的快速发展,智能化教学系统得到了越来越广泛的应用。但是,当前大多数智能教学系统都忽视了教学资源的海量性,导致系统性能低下,教学资源利用率低下。本文设计了一种基于大数据分析的个性化网络智能教学系统,介绍了该系统的结构设计和主要功能模块,通过仿真实验来测试该系统的功能和性能。实验结果表明,系统中大数据个性化推荐模块可以较好地实现对用户行为规律进行分析统计,根据分析统计的结果实时为不同用户推荐适合自身的学习资源;系统中教学质量双向评估模块可以较好地评价与反馈学生的学习行为和教师的教学质量;系统可以很好地满足实际使用情境,性能优于其他智能教学系统,应用前景广阔。

As Internet technology develops faster and faster,the scope of application of intelligent teaching systems is gradually expanding.Most current intelligent teaching systems ignore the massiveness of teaching resources,leading to low system performance and low utilization of teaching resources.The article designs a personalized network intelligent teaching system based on big data analysis,and conducts simulation test experiments on the function and performance of the system.The experimental results show that the big data recommendation module in the system can recommend personalized learning resources for users according to the user’s behavior rules,and the two-way teaching quality evaluation module in the system can realize the evaluation and feedback of students’learning behavior and teaching quality;it can meet the actual use situation well,the performance is better than other intelligent teaching systems,and the application prospect is broad.