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Learning style prediction system and method through analysis of teaching activity data

机译:通过分析教学活动数据的学习风格预测系统和方法

摘要

The present invention relates to a learning style prediction system and method through the analysis of teaching and learning activity data. In addition, the present invention is a learning subject classification unit for classifying a learning style according to an information recognition method and an information processing method, and classifying user types accordingly; A learning activity configuration unit that configures a learning activity (Object) consisting of an activity, an action, and an operation; And a learning style prediction system and method through analysis of teaching and learning activity data including a tool support unit supporting learning resources or learning tools.
机译:通过对教学活动数据的分析,学习风格预测系统和方法。另外,本发明是学习对象分类单元,用于根据信息识别方法和信息处理方法对学习风格进行分类,并相应地对用户类型进行分类。学习活动配置单元,配置由活动,动作和操作组成的学习活动(对象);通过分析教与学活动数据的学习风格预测系统和方法,包括支持学习资源或学习工具的工具支持单元。

著录项

  • 公开/公告号KR20200099042A

    专利类型

  • 公开/公告日2020-08-21

    原文格式PDF

  • 申请/专利权人 호서대학교 산학협력단;

    申请/专利号KR20190016925

  • 发明设计人 김경록;

    申请日2019-02-13

  • 分类号G06Q50/20;G06Q10/06;G06Q50/10;

  • 国家 KR

  • 入库时间 2022-08-21 11:06:08

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