基于大数据环境的在线学习行为干预原型系统设计与开发  

Design and development of online learning behavior intervention prototype system based on big data environment

作　　者：刘纯[1] Liu Chun(Hunan Vocational Institute of Safety Technology,Changsha 410151,China)

机构地区：[1]湖南安全技术职业学院,湖南长沙410151

出　　处：《无线互联科技》2023年第17期106-108,共3页Wireless Internet Technology

基　　金：2021年湖南省教育厅科学研究项目,项目名称:大数据环境下的在线学习干预模型研究,项目编号:21C0976。

摘　　要：在线学习已成为当前较为重要的学习方式,但在线上环境中,学习者容易出现自主学习力较弱、持续参与力较低的情况。因此,文章针对基于大数据环境的在线学习行为干预原型系统设计与开发进行了研究。该系统旨在通过利用大数据分析及机器学习技术,为学习者提供个性化的学习建议及干预措施,以此优化学习效果。文章详细介绍了系统设计的总框架,包括数据收集处理模块、用户行为分析模块、策略生成模块和反馈与评估模块。通过系统测试实验,验证了系统的稳定性,并展示了系统在响应时间、吞吐量及可用性方面的优越表现。研究结果表明,该系统具有重要的应用潜力,在线学习行为干预原型系统的设计为线上学习提供了更为便利的技术手段,对提高学习者的学习效果有一定帮助。Online learning has become an important way of learning,but learners are prone to the difficulties of weak self-learning ability and low continuous participation in the online environment.Therefore,this paper focuses on the design and development of online learning behavior intervention prototype system based on big data environment.The system aims to optimize learning outcomes by using big data analytics and machine learning techniques to provide learners with personalized learning recommendations and interventions.This paper introduces the general framework of system design in detail,including data collection and processing module,user behavior analysis module,strategy generation module and feedback and evaluation module.The stability and performance of the system are verified by system test experiments,and its superior performance in response time,throughput and system availability is demonstrated.The research results show that the system has important application potential,the design of online learning behavior intervention prototype system provides a more convenient technical means for online learning,which is helpful to improve the learning effect of learners.

关 键 词：大数据环境 在线学习 行为干预 原型系统 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]