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Big Data Technology Applied to Learning Behavior Evaluation System

机译:应用于学习行为评估系统的大数据技术

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Teaching and Learning process is one of the criteria set and a vital element for an educational institution. Learning behavior analytics based on big data is relatively new. Aiming at the problem of the lack of system architecture and practical application of big data technology in the educational field, this paper sets its focus on big data application architecture framework in the educational field, consequently, the design and implementation scheme of the learning behavior evaluation system are proposed, and a concrete implementation of the system is explained. Furthermore, an application case of the system is given. The solution is based on a large number of implicit and explicit data generated in the learning process, and presents the data analysis results for different application services. The implementation of the system not only provides help for school administrators, teachers and students, but also changes the old learning behavior analysis model, helps to build intelligent campus. The results show that the architecture can meet the needs of big data application in the educational field, and has a slice of flexibility and extensibility.
机译:教学和学习过程是教育机构的标准集和重要因素之一。基于大数据的学习行为分析相对较新。针对缺乏系统架构的问题和大数据技术在教育领域的实际应用,其侧重于教育领域的大数据应用架构框架,从而实现了学习行为评估的设计和实现方案提出了系统,并解释了系统的具体实现。此外,给出了系统的应用案例。该解决方案基于在学习过程中生成的大量隐式和显式数据,并为不同的应用服务提供数据分析结果。系统的实施不仅为学校管理员,教师和学生提供帮助,还可以改变旧的学习行为分析模型,有助于建立智能校园。结果表明,该架构可以满足教育领域大数据应用的需求,并具有一片灵活性和可扩展性。

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