大数据环境下的移动学习与微课程研究

Hong Dai, Ye Tao, Tian Shi
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引用次数: 4

摘要

通过分析大数据环境下知识获取方式和教学角色的变化,提出了微课程移动教学系统的设计。系统平台包括学习者终端平台和教师终端平台。学习者使用移动终端,利用零碎的时间进行主动学习。挖掘价值信息,充分利用系统在使用过程中收集教育数据的优势。同时,提出了学习资源的组织模式。通过对多种教学资源的整合,形成完整的教学过程数据库。根据微课程移动学习的学习者行为进行数据挖掘分析。挖掘分析的结果为教师调整教学内容和改进教学方法提供了依据。本文还从大数据的角度对系统网络结构进行了设计。已实现系统架构。通过对教育数据的挖掘分析,提出了一种创新的教育评价机制。形成客观、创新的师生评价机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Mobile Learning and Micro Course in the Big Data Environment
Put forward design of micro course mobile teaching system through analyzing the change of knowledge acquisition way and teaching role in the big data environment. The system platform includes the learner terminal platform and the teacher terminal platform. Learners use mobile terminals to active learn utilizing fragments of time. Mine the value information to take advantage of collecting education data in the process of using system. At the same time, the paper sets forth learning resource organization model. Form a complete data base of teaching process through the integration of a variety of teaching resources. Carry out data mining analysis according to the learner's behavior of micro course mobile learning. The results of the mining analysis provide a basis for teachers to adjust teaching content and improve teaching methods. The paper also presents the design of system network structure from the perspective of big data. The system architecture has been implemented. The paper proposes an innovative education evaluation mechanism through the mining analysis of education data. Form the objective and innovative evaluation mechanism between teachers and learners.
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