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A Competence-based System for Recommending Study Materials from the Web (CBSR)

机译:基于能力的网络推荐学习材料系统(CBsR)

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摘要

A pedagogically-informed approach to the design of an e-learning system is important since an effective learning system requires teaching activities that match the students’ learning requirements. Currently some e-learning systems are based on adaptive educational hypermedia. User modelling is one of the components of adaptive hypermedia. However, currently designed user models are inconsistent in estimating learner’s knowledge level, are not pedagogically designed,and do not satisfactorily incorporate the achieved learning of the learner. The paper proposes a competency-based system for recommending study materials from the Web to learners (CBSR), and explores the benefits of a competency model for an improved pedagogical approach to e-learning and a more consistent profile of learners’ competences which can persist though their learning life. A competences structure is represented as a directed acyclic graph (DAG), and the paper considers the processing of a competence structure to identify learners’ existing/desired competences and provide appropriate study materials from the Web.
机译:设计有效的电子学习系统的方法很重要,因为有效的学习系统需要符合学生学习要求的教学活动。当前,一些电子学习系统是基于自适应教育超媒体的。用户建模是自适应超媒体的组成部分之一。但是,当前设计的用户模型在估计学习者的知识水平方面不一致,没有经过教学设计,也不能令人满意地纳入学习者的学习成果。本文提出了一种基于能力的系统,用于将网络学习材料推荐给学习者(CBSR),并探索了一种能力模型的好处,该模型可改进电子学习的教学方法,并使学习者的能力更持久地保持不变虽然他们的学习生活。能力结构用有向无环图(DAG)表示,并且论文考虑了一种能力结构的处理过程,以识别学习者的现有/期望能力,并从Web提供适当的学习材料。

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