Using Big Data Value Chain to Create Government Education Policies
Pages 42 - 49
Abstract
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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- Using Big Data Value Chain to Create Government Education Policies
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In-Cooperation
- ERSVB: EURORISC SYSTEMS - Varna, Bulgaria
- FOSEUB: FEDERATION OF THE SCIENTIFIC ENGINEERING UNIONS - Bulgaria
- UORB: University of Ruse, Bulgaria
- TECHUVB: Technical University of Varna, Bulgaria
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Association for Computing Machinery
New York, NY, United States
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Published: 13 September 2018
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CompSysTech'18
CompSysTech'18: 19th International Conference on Computer Systems and Technologies
September 13 - 14, 2018
Ruse, Bulgaria
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Overall Acceptance Rate 241 of 492 submissions, 49%
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