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METHOD OF ANALYSING LEARNING CONDITIONS BASED ON SENSITIVITY-LEARNING INDEX

机译:基于敏感性学习指标的学习条件分析方法

摘要

Disclosed is a studying circumstance analysis method based on sensitivity-learning index. According to the present invention, instrument deduction is performed by determining the similarity on the sensitivity-learning index which is source data obtained based on brain waves at each case of the case data base. At this time, according to the correlation with the outlier discrimination category to obtain the item value of the sensitivity-learning index obtained based on the brain waves, a weighted value is given. Time series analysis is performed using the moving average on each value of the sensitivity-learning index obtained at a constant time interval. Therefore, the normality and abnormality of the studying circumstances of a learner can be accurately determined based on the five or more discrimination categories. [Reference numerals] (AA) Start;(BB) End;(S110) Receiving sensitivity-learning index having a number of item values relative to learners from electrocorticography measurement equipment while providing digitized learning contents;(S120) Smoothing each sensitivity-learning index of the learners received at a constant time interval by a movement average method;(S130) Storing records including a plurality of item values of the sensitivity-learning index and extracting records which is most similar to the sensitivity-learning index of the learner from a case-based database including information displaying whether or not the corresponding records are included in predetermined standards with respect to a plurality of predetermined standards.;(S140) Ending if the extracted records are included in normal values relative to each predetermined standard or consider that the sensitivity-learning index of the learners is included in abnormal values if the extracted records are included in abnormal values with respect to one or more standard and providing learning contents to the learner by drawing learning attitude correction strategy which is predetermined to the corresponding standards
机译:公开了一种基于敏感性学习指标的研究环境分析方法。根据本发明,通过确定敏感性学习指数的相似度来进行仪器推导,该敏感性学习指数是在病例数据库的每种情况下基于脑波获得的源数据。此时,根据与离群值判别类别的相关性,获得基于脑电波而获得的敏感性学习指标的项目值,并赋予加权值。使用移动平均值对在恒定时间间隔获得的灵敏度学习指数的每个值进行时间序列分析。因此,可以基于五个或更多个判别类别来准确地确定学习者的学习状况的正常和异常。 [附图标记](AA)开始;(BB)结束;(S110)从数字皮层测量设备接收具有相对于学习者的多个项目值的灵敏度学习指数,同时提供数字化的学习内容;(S120)平滑每个灵敏度学习指数(S130)存储包括多个敏感度学习指标的项目值的记录,并从中提取与该学习者的敏感度学习指标最相似的记录基于案例的数据库,包括显示相对于多个预定标准,相应记录是否包含在预定标准中的信息。(S140)如果提取的记录是否包含在相对于每个预定标准的正常值中,或者认为如果提取的记录包含在异常v中,则将学习者的敏感性学习指数包含在异常值中相对于一个或多个标准,通过绘制预先确定为相应标准的学习态度校正策略,向学习者提供学习内容

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