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An Ontological Framework for the Analysis of Constructively Aligned Educational Units

机译:用于分析建设性对齐教育单位的本体论框架

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Higher education institutions are increasingly abandoning traditional teaching methods based on transmissive pedagogy and embracing a model based on the constructivist theory of learning. This is a necessary shift to face current challenges in their domain such as shrinking resources and need to reach students with different level of motivation and learning styles. Constructive Alignment (CA) combines the new pedagogical approach with aligned design for outcome-based teaching education and it is the leading approach underpinning current requirements for program specification and single course description. Another important trend emerging from digitalization of higher education is the collection and use of educational data to improve all the aspects of the learning process. This research community has produced a large body of valuable tools and methods, but there is no specific contribution targeting the analysis of constructively aligned education. The CONALI ontology is an ongoing modelling effort that currently provides a framework to describe the CA body of knowledge including all the relevant semantic relationships. This paper presents a new version of such ontology that supports collection and analysis of educational data from constructively aligned educational units as a first step to fill the gap described above. The specific requirements for this iterative upgrade have been inferred from a literature review of the typical analysis conducted in the domain of educational big data.
机译:高等教育机构越来越多地放弃基于透射教学和基于建构主义学习理论的模型的传统教学方法。这是一个必要的转变,以面对他们领域的当前挑战,如资源缩小,需要到达具有不同动机和学习风格的学生。建设性对准(CA)将新的教学方法与基于结果的教学教育的对齐设计结合起来,它是基于计划规范和单程描述的最新要求的领先方法。从高等教育数字化的另一个重要趋势是收集和使用教育数据,以改善学习过程的所有方面。该研究界产生了大量宝贵的工具和方法,但没有具体的贡献,针对建设性对齐教育的分析。 Conali本体是一种正在进行的建模努力,目前提供了描述CA知识体系的框架,包括所有相关语义关系。本文提出了新版本的此类本体,支持从建设性地对齐的教育单位作为填补上述间隙的第一步的教育数据的收集和分析。从教育大数据领域进行的典型分析的文献审查中推断出这种迭代升级的具体要求。

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