论文标题
基于众包知识图的教学系统的构建和应用
Construction and Application of Teaching System Based on Crowdsourcing Knowledge Graph
论文作者
论文摘要
通过众包知识图和教学系统的组合，研究方法生成知识图及其应用。使用两种众包方法，众包任务分布和反向验证验证的生成，以在教学系统领域构建知识图。通过学校，学生，老师，课程，知识点和运动类型的节点来生成教学领域的完整层次知识图。以众包方式构建的知识图要求许多用户在充分考虑教师的指导和用户动员问题的情况下进行协作。根据知识图的三个子图，著名的老师，学生学习状况和合适的学习路线，可以看到。个性化练习建议模型用于根据知识图制定算法的个性化练习。协作创建模型的开发是为了实现众包建设机制。尽管对知识图和学习者对知识结构的关注的学习方式不熟悉，但基于众包知识图的系统仍然可以在学生和老师身上获得高度的接受
Through the combination of crowdsourcing knowledge graph and teaching system, research methods to generate knowledge graph and its applications. Using two crowdsourcing approaches, crowdsourcing task distribution and reverse captcha generation, to construct knowledge graph in the field of teaching system. Generating a complete hierarchical knowledge graph of the teaching domain by nodes of school, student, teacher, course, knowledge point and exercise type. The knowledge graph constructed in a crowdsourcing manner requires many users to participate collaboratively with fully consideration of teachers' guidance and users' mobilization issues. Based on the three subgraphs of knowledge graph, prominent teacher, student learning situation and suitable learning route could be visualized. Personalized exercises recommendation model is used to formulate the personalized exercise by algorithm based on the knowledge graph. Collaborative creation model is developed to realize the crowdsourcing construction mechanism. Though unfamiliarity with the learning mode of knowledge graph and learners' less attention to the knowledge structure, system based on Crowdsourcing Knowledge Graph can still get high acceptance around students and teachers
