Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning
Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning
复制标题
支持自我调节学习的概念级知识可视化
DOI：
10.1145/3030024.3038262
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Peter Brusilovsky
中科院分区：
文献类型：
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作者：
Jordan Barria;Julio Guerra;Yun Huang;Peter Brusilovsky
掌握网格是一种智能界面，它为入门编程课程提供了访问不同类型练习内容的途径。该界面的一个显著特点是以平行的主题级别可视化显示学生的进步和他们的同龄人的进步。本投稿提供了原始系统的扩展版本，其特点是在与课程相关的详细概念的水平上对学生知识进行细粒度的可视化。学生模型基于贝叶斯网络，利用学生在学习活动中的表现历史构建贝叶斯网络。
Mastery Grids is an intelligent interface that provides access to different kinds of practice content for an introductory programming course. A distinctive feature of the interface is a parallel topic-level visualization of student progress and the progress of their peers. This contribution presents an extended version of the original system that features a fine-grained visualization of student knowledge on the level of the detailed concepts that are associated with the course. The student model is based on a Bayesian-network which is built using students performance history in the learning activities.