利用大数据价值链制定政府教育政策

Proceedings of the 19th International Conference on Computer Systems and Technologies Pub Date : 2018-09-13 DOI:10.1145/3274005.3274015

D. Petrova-Antonova, S. Ilieva

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引用次数: 1

摘要

大数据价值链旨在发现隐藏在数据集中的模式、相关性和模式偏差。本文研究了(1)将大数据价值链应用于公共部门(特别是教育部门)决策的可能方法;(2)这些活动可以自动化的方式。创建的模型可以根据学校的辍学率和有学习困难的学生数量进行定制。这项研究是保加利亚教育和科学部(MES)当前项目的一部分，该项目由旨在提高学生参与度的智能增长科学和教育业务计划资助。

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Using Big Data Value Chain to Create Government Education Policies

The Big Data Value Chain aims to discover patterns, correlations, and pattern deviations hidden in a dataset. This paper investigates (1) the possible approaches to applying Big Data Value Chain to decision making in the Public sector, specifically in Education; and (2) the ways in which such activities can be automated. The models created can be customized depending on a school's dropout rate and number of students with learning difficulties. This research is part of a current project at the Ministry of Education and Science (MES) of Bulgaria, funded by the Operational Programme Science and Education for Smart Growth which aims to increase student engagement.

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Proceedings of the 19th International Conference on Computer Systems and Technologies

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