摘要
学习云空间中学习路径的情境语义标识是为了满足学习者个性化学习的现实需要,也是自适应学习的研究热点之一。文章首先探讨了学习云空间的理想学习环境,提出了基于建构主义理论的学习机制。随后,文章设计了面向学习云空间的情境要素,在此基础上构建了面向富语义学习路径的云空间情境感知模型,揭示了基于情境感知的富语义学习路径生成原理,并对学习路径进行了有效性评估。最后,文章依托世界大学城的学习路径功能模块,对富语义学习路径的应用效果进行检验,展现了良好的学习效果。文章的研究可助力于学习路径的精准推荐和学习云空间的进一步发展。
The situation semantic identification of the learning path in the learning cloud space is to satisfy the realistic needs of personalized learning, and it is one of the research hotspots of adaptive learning. Firstly, this paper discussed the ideal learning environment of the learning cloud space and proposed the learning mechanism based on the constructivism theory. Then, the situation elements for the learning cloud space was designed, and the situation perceptual model oriented to rich semantic learning path in learning cloud space was further built. In addition, the generation principle of the rich semantic learning path was revealed, and the validity of the learning path was evaluated. Finally, relying on the function module of the learning path in the World University City, this paper examined the application effect of the rich semantic learning path, which showed a good learning effect. The results of this paper could contribute to the accurate recommendation of the learning path and futher development of the learning cloud space.
引文
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