Semantically enhanced decision support for learning management systems

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI:10.1109/ICOSC.2015.7050823

Mariia Gavriushenko, M. Kankaanranta, P. Neittaanmäki

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引用次数: 8

Abstract

This article focuses on proposed semantically enhanced model of decision support system for learning management system (LMS). The model is based on a survey of LMSs and various plugins used in these to improve educational process. Systems based on semantic technologies are capable of integrating heterogeneous data, flexibly changing data schemas, semantic search (using ontologies), and joint knowledge development. The knowledge base that was developed for the proposed system model is presented in an ontological form. Ontology-based applications limit the "fragility" of the software and increase the likelihood of its reuse. In addition, they profitably redirect the efforts previously focused on software development and maintenance of creation and modification of knowledge structures. In the proposed knowledge base, we developed the necessary rules for further recommendations of specialization and courses for users. These recommendations are based on users' data extracted from profiles and user preferences.

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语义增强的学习管理系统决策支持

本文主要研究学习管理系统(LMS)决策支持系统的语义增强模型。该模型是基于对lms的调查，以及用于改善教育过程的各种插件。基于语义技术的系统能够集成异构数据、灵活改变数据模式、语义搜索(使用本体)和联合知识开发。为提出的系统模型开发的知识库以本体论的形式呈现。基于本体的应用程序限制了软件的“脆弱性”，并增加了其重用的可能性。此外，它们有益地改变了以前集中在软件开发和维护知识结构的创建和修改上的努力。在建议的知识库中，我们为进一步向用户推荐专业和课程制定了必要的规则。这些建议基于从配置文件和用户首选项中提取的用户数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)

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