What question did this study set out to answer?

To develop and evaluate a big data-driven University Educational Management Decision Support System (EM-DSS) to overcome data silos and improve curriculum adaptation in engineering disciplines.

August 16, 2026Advanced ElectromagneticsOpen Access

Construction and Application Effect Evaluation of a University Educational Management Decision Support System Based on Big Data

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Authors

JPJ. X. PanLuoyang Normal University

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Implication

Pilot study demonstrates improved decision speed and academic early warning accuracy in a university setting, highlighting the efficacy of data-driven educational governance.

Key Points

To develop and evaluate a big data-driven University Educational Management Decision Support System (EM-DSS) to overcome data silos and improve curriculum adaptation in engineering disciplines.
Designed a four-layer EM-DSS architecture incorporating stream processing technology and predictive models for academic early warning across four management scenarios.
Conducted a 6-month pilot implementation across two colleges at a provincial university, assessing system impact using a three-level evaluation index system.
Achieved an overall comprehensive evaluation score of 0.78 and shortened administrative decision-making time by 30%.
Reached an academic early warning accuracy rate of 85% and increased laboratory equipment utilization by 25%.

Cite This Study

J. X. Pan (2026) studied this question.

synapsesocial.com/papers/6a81796af2fb91fc834ac86e https://doi.org/10.7716/aem.v15i3.3248

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Implication

Pilot study demonstrates improved decision speed and academic early warning accuracy in a university setting, highlighting the efficacy of data-driven educational governance.

Construction and Application Effect Evaluation of a University Educational Management Decision Support System Based on Big Data

Discussion

Member takes

Implication

Key Points

Cite This Study

Construction and Application Effect Evaluation of a University Educational Management Decision Support System Based on Big Data

Discussion

Member takes

Implication

Key Points

Cite This Study

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