论文标题
具有动态贝叶斯网络的基于能力的学生建模
Competence-Based Student Modelling with Dynamic Bayesian Networks
论文作者
论文摘要
我们提出了一种使用能力图的通用方法，该方法是通过定义能力之间的概括/专业化和包容性/部分关系而创建的，以便以动态贝叶斯网络的形式构建覆盖学生模型，在该网络中，根据关系类型定义了条件概率分布。我们为墨西哥高中系统的教育目标的一部分创建了能力图，然后，我们如前所述建立了一个动态的贝叶斯学生模型，我们已经使用它来追踪一些假设的学生通过在线表现出色表演的一些假设的学生来发展相应能力的能力（低到中等至中等表现（中等至中等表现），并且具有低级表现，并且具有高级表现，并且具有高级的表现，并且高高地表现出高度的高级表现。获得的结果表明，根据能力地图构建动态贝叶斯学生模型的建议方法可能对在线课程中真正的学生的能力发展很有用。
We present a general method for using a competences map, created by defining generalization/specialization and inclusion/part-of relationships between competences, in order to build an overlay student model in the form of a dynamic Bayesian network in which conditional probability distributions are defined per relationship type. We have created a competences map for a subset of the transversal competences defined as educational goals for the Mexican high school system, then we have built a dynamic Bayesian student model as said before, and we have use it to trace the development of the corresponding competences by some hypothetical students exhibiting representative performances along an online course (low to medium performance, medium to high performance but with low final score, and two terms medium to high performance). The results obtained suggest that the proposed way for constructing dynamic Bayesian student models on the basis of competences maps could be useful to monitor competence development by real students in online course.
