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BASED ON THE THEORY OF COGNITIVE SCIENCE, FOREIGN LANGUAGE LEARNING SYSTEM

机译:基于认知科学理论的外语学习系统

摘要

Forgetting curve theory and fuzzy theory the present invention relates to a kind of offer based on Herman Ebbinhaus learning systems. Particularly, the present invention relates to a kind of system, the automatic repetitive learning calculated in individual deviation is according to the forgetting curve of circulation Ebbinhaus using result data by knowing user and applying Optimization Learning method and be recycled to user. The science of the calculation method and systemic individual deviation are to carry out study user based on signal data to use learning system machine learning (artificial intelligence). The learning system provides starting course and is based on average value, but the deviation accumulation repetitive learning of operation study user is based on learning data, by using machine learning, and to later study. It is repeated for Optimization Learning personal user by being precisely calculated individual deviation as the user of study and application the object of the present invention is to provide a kind of. Such present invention constitutes study, for customizing study, by the data and provides the customization study of most desired 1:1 according to the learner of the learning activities of process in learning data and control applied to according to the level of learner. ;The 2014 of copyright KIPO submissions;[Reference numerals] (101) select course, and wherein user thinks that study uses; (102) the learning data presence or absence of user is checked; (103) it extracts and comes from server; (104) applied courses deviation; (105) it calculates modified (application) and learns logic; (106) starting user study; (107) terminate study; (108) study D/B is calculated; (109) shop server; (110) repetitive learning? (AA) start; (BB) terminate
机译:遗忘曲线理论和模糊理论本发明涉及一种基于Herman Ebbinhaus学习系统的报价。特别地,本发明涉及一种系统,通过了解用户并应用优化学习方法,根据结果Ebbinhaus的遗忘曲线,根据循环Ebbinhaus的遗忘曲线来计算以个体偏差进行的自动重复学习,并循环给用户。计算方法和系统个体偏差的科学是基于信号数据来研究用户以使用学习系统机器学习(人工智能)。学习系统提供开始课程,并且基于平均值,但是操作学习用户的偏差累积重复学习基于学习数据,通过使用机器学习来进行,然后进行后续学习。作为学习和应用的用户,通过精确地计算出个体偏差,对优化学习个人用户重复进行本发明的目的是提供一种。这样的本发明通过数据构成用于定制研究的学习,并且根据学习者在学习数据中的过程的学习活动以及根据学习者的水平施加的控制来提供最期望的1:1的定制研究。 ; 2014年版权KIPO提交文件; [参考数字](101)选择课程,并且用户认为该研究使用了其中; (102)检查学习数据是否存在用户; (103)从服务器提取并来自服务器; (104)应用课程偏差; (105)计算修改后的(应用程序)并学习逻辑; (106)开始用户学习; (107)终止学习; (108)研究D / B; (109)商店服务器; (110)重复学习? (AA)开始; (BB)终止

著录项

  • 公开/公告号KR20130142290A

    专利类型

  • 公开/公告日2013-12-30

    原文格式PDF

  • 申请/专利权人 SHIN SEUNG JAE;

    申请/专利号KR20120065382

  • 发明设计人 SHIN SEUNG JAE;

    申请日2012-06-19

  • 分类号G09B7/02;G09B19/06;

  • 国家 KR

  • 入库时间 2022-08-21 15:44:31

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