RUBRIC-BASED ASSESSMENT WITH PERSONALIZED LEARNING RECOMMENDATIONS
    1.
    发明申请
    RUBRIC-BASED ASSESSMENT WITH PERSONALIZED LEARNING RECOMMENDATIONS 审中-公开
    以个人学习推荐为基础进行基于评估的评估

    公开(公告)号:US20100316986A1

    公开(公告)日:2010-12-16

    申请号:US12483251

    申请日:2009-06-12

    IPC分类号: G09B7/00

    CPC分类号: G09B7/00 G09B5/00

    摘要: A rubric-based assessment and personalized learning recommendation system and method to aid an educator in teaching an entity in an efficient manner. Embodiments of the system and method include a computational representation of a rubric that is composed of composable rubric constructs. Each composable rubric construct corresponds to a particular sub-area of a skill being learned. Embodiments of the system and method also allow the educator to select a level of granularity of the rubric. This allows grouping together of entities that are having similar problems learning the skill and are performing similarly in certain areas. Embodiments of the system and method can suggest available learning resources for a single or groups of entities struggling in the same or similar areas based on their assessment results. The idea is for the entity to use these learning resources to improve its performance and competency in a given subject area.

    摘要翻译: 一种基于量表的评估和个性化学习推荐系统和方法,可以帮助教育者以有效的方式教授实体。 系统和方法的实施例包括由可组合的标题构造组成的标题的计算表示。 每个可组合的量规结构对应于正在学习的技能的特定子区域。 系统和方法的实施例还允许教育者选择标题的粒度级别。 这允许将具有类似问题的实体组合在一起,学习技能并且在某些区域中类似地执行。 该系统和方法的实施例可以基于他们的评估结果来为在同一或相似领域中挣扎的单个或一组实体提供可用的学习资源。 这个想法是让实体使用这些学习资源来提高其在给定主题领域的表现和能力。

    Using reading levels in responding to requests
    3.
    发明授权
    Using reading levels in responding to requests 有权
    使用阅读级别来响应请求

    公开(公告)号:US08954423B2

    公开(公告)日:2015-02-10

    申请号:US13225583

    申请日:2011-09-06

    IPC分类号: G06F7/00 G06F17/27 G06F17/30

    摘要: A request can be received and a request reading level representation for the request can be inferred. In response to the request, the request reading level representation can be compared with one or more reading difficulty level representations for one or more response items. Also in response to the request, one or more indications of results of comparing the request reading level representation with one or more reading difficulty level representations for the one or more response items can be returned. The indication(s) may include a ranking of the response items. The ranking can be based at least in part on a request reading level representation for the query and reading difficulty level representations for the response items. The response item(s) may also be returned.

    摘要翻译: 可以接收到请求,并且可以推断出请求的请求读取级别表示。 响应于该请求,可以将请求读取级别表示与一个或多个响应项目的一个或多个读取难度级别表示进行比较。 还响应于该请求,可以返回将请求读取级别表示与一个或多个响应项目的一个或多个读取难度级别表示进行比较的结果的一个或多个指示。 指示可以包括响应项目的排名。 排名可以至少部分地基于用于响应项目的查询的请求读取级别表示和读取难度级别表示。 还可以返回响应项目。

    Ranking contextual signals for search personalization
    4.
    发明授权
    Ranking contextual signals for search personalization 有权
    排名搜索个性化的上下文信号

    公开(公告)号:US08706725B2

    公开(公告)日:2014-04-22

    申请号:US13047466

    申请日:2011-03-14

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30675

    摘要: Methods are provided for re-ranking documents based on user-specific features. Search results are received from a non-contextual ranking system such that the search results are not specific toward a particular user, such as the user who submitted the search query. Contextual signals are received and provide user-specific features that are used to re-rank documents so that the most important and relevant documents are listed at the top of the list of search results. Each of the user-specific features are evaluated and compared to determine a new position of each document. A set of contextual search results is then generated based on the new positions.

    摘要翻译: 提供了基于用户特定功能重新排列文档的方法。 从非上下文排序系统接收搜索结果,使得搜索结果不是特定于特定用户,例如提交搜索查询的用户。 接收到上下文信号,并提供用于对文档进行重新排序的用户特定功能,以便最重要和相关的文档列在搜索结果列表的顶部。 每个用户特定的特征被评估和比较以确定每个文档的新位置。 然后基于新的位置生成一组上下文搜索结果。

    RANKING CONTEXTUAL SIGNALS FOR SEARCH PERSONALIZATION
    5.
    发明申请
    RANKING CONTEXTUAL SIGNALS FOR SEARCH PERSONALIZATION 有权
    排名搜索个性化的上下文信号

    公开(公告)号:US20120239646A1

    公开(公告)日:2012-09-20

    申请号:US13047466

    申请日:2011-03-14

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30675

    摘要: Methods are provided for re-ranking documents based on user-specific features. Search results are received from a non-contextual ranking system such that the search results are not specific toward a particular user, such as the user who submitted the search query. Contextual signals are received and provide user-specific features that are used to re-rank documents so that the most important and relevant documents are listed at the top of the list of search results. Each of the user-specific features are evaluated and compared to determine a new position of each document. A set of contextual search results is then generated based on the new positions.

    摘要翻译: 提供了基于用户特定功能重新排列文档的方法。 从非上下文排序系统接收搜索结果,使得搜索结果不是特定于特定用户,例如提交搜索查询的用户。 接收到上下文信号,并提供用于对文档进行重新排序的用户特定功能,以便最重要和相关的文档列在搜索结果列表的顶部。 每个用户特定的特征被评估和比较以确定每个文档的新位置。 然后基于新的位置生成一组上下文搜索结果。

    USING COMBINED ANSWERS IN MACHINE-BASED EDUCATION
    6.
    发明申请
    USING COMBINED ANSWERS IN MACHINE-BASED EDUCATION 审中-公开
    在基于机器的教育中使用组合回答

    公开(公告)号:US20100311030A1

    公开(公告)日:2010-12-09

    申请号:US12477138

    申请日:2009-06-03

    IPC分类号: G09B3/00

    CPC分类号: G09B7/02

    摘要: Described is a technology for learning a foreign language or other subject. Answers (e.g., translations) to questions (e.g., sentences to translate) received from learners are combined into a combined answer that serves as a representative model answer for those learners. The questions also may be provided to machine subsystems to generate machine answers, e.g., machine translators, with those machine answers used in the combined answer. The combined answer is used to evaluate each learner's individual answer. The evaluation may be used to compute profile information that is then fed back for use in selecting further questions, e.g., more difficult sentences as the learners progress. Also described is integrating the platform/technology into a web service.

    摘要翻译: 描述了一种学习外语或其他科目的技术。 将从学习者接收到的问题(例如,翻译)的问题(例如,要翻译的句子)组合成为用于那些学习者的代表性模型答案的组合答案。 也可以将这些问题提供给机器子系统,以便在组合的答案中使用这些机器答案来产生机器答案,例如机器翻译器。 组合的答案用于评估每个学习者的个人答案。 评估可以用于计算简档信息,然后将其反馈用于选择进一步的问题,例如学习者进步时更难的句子。 还描述了将平台/技术集成到Web服务中。