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    • 4. 发明申请
    • MATCHING LEARNING OBJECTS WITH A USER PROFILE USING TOP-LEVEL CONCEPT COMPLEXITY
    • 使用顶级概念复杂性与用户配置匹配学习对象
    • US20090197232A1
    • 2009-08-06
    • US12027149
    • 2008-02-06
    • Jacob D. CouchJeremy K. EspenshadeScott D. ReynoldsCurtis Stratman
    • Jacob D. CouchJeremy K. EspenshadeScott D. ReynoldsCurtis Stratman
    • G09B7/00
    • G09B7/00
    • In a method and system for matching learning objects with a user profile, a top-level concept structure, including a keyword hierarchy for each of one or more top-level concepts, can be used to determine the complexity of a learning object. The learning object can include one or more learning object keywords related to one or more top-level concepts contained in the top-level concept structure. The learning object keywords can be assigned a complexity score based upon their location within the keyword hierarchy, and the complexity scores for all of the learning object keywords relating to a top-level concept can be aggregated to generate a learning object top-level concept complexity score. The learning object top-level concept complexity score can be compared with a user's experience rating for that top-level concept and be used to select an appropriate learning object.
    • 在用于将学习对象与用户简档相匹配的方法和系统中,可以使用包括用于一个或多个顶级概念中的每一个的关键字层次结构的顶级概念结构来确定学习对象的复杂性。 学习对象可以包括与包含在顶级概念结构中的一个或多个顶级概念相关的一个或多个学习对象关键字。 学习对象关键字可以根据其在关键词层次结构中的位置被分配复杂度分数,并且可以聚合与顶级概念相关的所有学习对象关键词的复杂度得分,以生成学习对象顶级概念复杂度 得分了。 学习对象顶级概念复杂性得分可以与用户对顶级概念的体验评级进行比较,并用于选择适当的学习对象。
    • 7. 发明授权
    • Matching learning objects with a user profile using top-level concept complexity
    • 使用顶级概念复杂性将学习对象与用户配置文件进行匹配
    • US08257091B2
    • 2012-09-04
    • US12027149
    • 2008-02-06
    • Jacob D. CouchJeremy K. EspenshadeScott D. ReynoldsCurtis Stratman
    • Jacob D. CouchJeremy K. EspenshadeScott D. ReynoldsCurtis Stratman
    • G09B3/00
    • G09B7/00
    • In a method and system for matching learning objects with a user profile, a top-level concept structure, including a keyword hierarchy for each of one or more top-level concepts, can be used to determine the complexity of a learning object. The learning object can include one or more learning object keywords related to one or more top-level concepts contained in the top-level concept structure. The learning object keywords can be assigned a complexity score based upon their location within the keyword hierarchy, and the complexity scores for all of the learning object keywords relating to a top-level concept can be aggregated to generate a learning object top-level concept complexity score. The learning object top-level concept complexity score can be compared with a user's experience rating for that top-level concept and be used to select an appropriate learning object.
    • 在用于将学习对象与用户简档相匹配的方法和系统中,可以使用包括用于一个或多个顶级概念中的每一个的关键字层次结构的顶级概念结构来确定学习对象的复杂性。 学习对象可以包括与包含在顶级概念结构中的一个或多个顶级概念相关的一个或多个学习对象关键字。 学习对象关键字可以根据其在关键词层次结构中的位置被分配复杂度分数,并且可以聚合与顶级概念相关的所有学习对象关键词的复杂度得分,以生成学习对象顶级概念复杂度 得分了。 学习对象顶级概念复杂性得分可以与用户对顶级概念的体验评级进行比较,并用于选择适当的学习对象。