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    • 3. 发明申请
    • RUBRIC-BASED ASSESSMENT WITH PERSONALIZED LEARNING RECOMMENDATIONS
    • 以个人学习推荐为基础进行基于评估的评估
    • US20100316986A1
    • 2010-12-16
    • US12483251
    • 2009-06-12
    • Sebastian de la ChicaEric A. Jenkins, JR.Zubin Alexander
    • Sebastian de la ChicaEric A. Jenkins, JR.Zubin Alexander
    • G09B7/00
    • G09B7/00G09B5/00
    • 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.
    • 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。
    • 4. 发明申请
    • USING COMBINED ANSWERS IN MACHINE-BASED EDUCATION
    • 在基于机器的教育中使用组合回答
    • US20100311030A1
    • 2010-12-09
    • US12477138
    • 2009-06-03
    • Xiaodong HeAlejandro AceroSebastian de la Chica
    • Xiaodong HeAlejandro AceroSebastian de la Chica
    • G09B3/00
    • G09B7/02
    • 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.
    • 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。