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AUTOMATIC GENERATION AND PERSONALIZATION OF LEARNING PATHS

机译:学习路径的自动生成和个性化

摘要

Techniques for generating individualized learning paths are provided. A skill dependency graph is generated that indicates, for each pair of connecting nodes in the graph, a first skill in the pair as a prerequisite of a second skill in the pair. A set of destination skills is determined that a user is to obtain to achieve a possible career goal. Based on the skill dependency graph and the set of destination skills, one or more prerequisite skills that the user should obtain prior to obtaining the set of destination skills are identified. Based on the set of destination skills, the one or more prerequisite skills, and information about the user, an individualized learning path is generated that comprises a sequence of learning resources that allows the particular user to obtain a set of skills. The individualized learning path is presented on a screen of a computing device of the user.
机译:提供了用于生成个性化学习路径的技术。生成技能依赖关系图,对于该图中的每对连接节点,该依赖关系图指示该对中的第一技能作为该对中第二技能的先决条件。确定用户将获得的一组目的地技能,以实现可能的职业目标。基于技能依赖性图和一组目的地技能,标识了用户在获得一组目的地技能之前应获得的一个或多个必备技能。基于一组目的地技能,一个或多个必备技能以及有关用户的信息,生成个性化的学习路径,该学习路径包括一系列学习资源,允许特定用户获得一组技能。个性化的学习路径呈现在用户的计算设备的屏幕上。

著录项

  • 公开/公告号US2019340945A1

    专利类型

  • 公开/公告日2019-11-07

    原文格式PDF

  • 申请/专利权人 MICROSOFT TECHNOLOGY LICENSING LLC;

    申请/专利号US201815970754

  • 发明设计人 EESHAN MALHOTRA;NAGARAJ KOTA;

    申请日2018-05-03

  • 分类号G09B5/12;G06F17/30;G06F15/18;

  • 国家 US

  • 入库时间 2022-08-21 12:07:48

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