Applying lean six sigma incorporated with big data analysis to curriculum system improvement in higher education institutions

Shang Shanshan (), Lyv Wenfei () and Luo Lijuan ()
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Shang Shanshan: Shanghai International Studies University
Lyv Wenfei: Shanghai International Studies University
Luo Lijuan: Shanghai International Studies University

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 2, No 8, 656 pages

Abstract: Abstract The purpose of this paper is to propose a method to improve the curriculum system in higher education institutions by taking use of the Lean Six Sigma (LSS) framework incorporated with big data analysis. The Lean Six Sigma Define-Measure-Analyze-Improve-Control methodology combined with text analysis, knowledge graph analysis and topology graph analysis are used. The proposed method can improve the curriculum system and better meet the talent market requirements, the technical requirements, and the social requirements. Little study uses the LSS framework and big data analysis to improvement the curriculum system. However, big data is an effective and efficient tool and is the trend to be used to help to make decision. This paper proposed the detailed improvement process using both LSS framework and big data analysis.

Keywords: DMAIC; Lean six sigma; Curriculum system; Higher education institutions (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01316-3

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