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The Construction of Distance Education Personalized Learning Platform Based on Educational Data Mining

机译:基于教育数据挖掘的远程教育个性化学习平台施工

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With the rapid development of Internet technology, the online learning environment is centered on learners and no longer limited by time and space, making the demand for online learning increasingly. However, in the face of the Internet's learning resources, learners often have no choice, and problems in the online learning process can not be solved in time, so it is imperative to construct a personalized learning environment that meets the characteristics of learners. Personalized learning is based on educational big data. Big data provides technical support for personalized learning, and provides a new way for traditional personalized learning. Personalized learning in the context of big data is based on learners. Taking into account the learning characteristics of learners, it is a breakthrough in traditional learning methods. With the advent of the era of big data and the era of artificial intelligence, the learning methods, teaching methods and cognitive styles of distance education have undergone major changes. The characteristics of the times require a new connotation for learning support services, which is traditional, unified and fixed. The learning support service has turned to the development of personalized instructional design, course management and learning evaluation services. A personalized distance education learning support service system was constructed. This paper mainly studies the online personalized learning platform system based on educational data mining. The system consists of four modules: management services, information and consulting services, resource services and learning process services. In view of the difficulties of distance learning learners, lack of learning time, self-learning ability and weak self-management ability, data mining technology can be used to analyze and mine learning process data and historical data accumulated in the process of distance education. The learner's learning state and personality characteristics provi
机译:随着互联网技术的快速发展,在线学习环境以学习者为中心,不再受时间和空间的限制,越来越受到在线学习的需求。然而,在互联网的学习资源面前,学习者往往没有选择,并且在线学习过程中的问题无法及时解决,因此必须建立一个符合学习者特征的个性化学习环境。个性化学习是基于教育大数据。大数据为个性化学习提供技术支持,为传统个性化学习提供了一种新的方式。大数据背景下的个性化学习是基于学习者。考虑到学习者的学习特征,它是传统学习方法的突破。随着大数据时代的出现和人工智能时代,学习方法,教学方法和远程教育的认知风格都发生了重大变化。时代的特征需要新的内涵来学习支持服务,这是传统的,统一和修复的。学习支持服务转向了个性化教学设计,课程管理和学习评估服务的发展。构建了个性化远程教育学习支持服务系统。本文主要研究了基于教育数据挖掘的在线个性化学习平台系统。该系统由四个模块组成:管理服务,信息和咨询服务,资源服务和学习过程服务。鉴于远程学习学习者的困难,缺乏学习时间,自学能力和自我管理能力薄弱,数据挖掘技术可用于分析和挖掘远程教育过程中累积的学习过程数据和历史数据。学习者的学习状态和人格特征涉及

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