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Volume 4,Issue 7

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4 July 2025
Innovative Research on the CIPP Evaluation System Empowered by Big Data and Artificial Intelligence
Shun Yu ,  Shasha Chen ,  Yuxiu Li
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1 School of Computer Science and Technology, Shenyang Institute of Engineering, Shenyang 110136, Liaoning, China,
IEF 2025 , 3(6), 36–41; https://doi.org/10.26689/ief.v3i6.10967
© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

This study explores the application of big data and artificial intelligence in the CIPP evaluation system. The study outlines the definition and characteristics of the CIPP evaluation model, as well as big data and AI technologies. Subsequently, the study provides a detailed analysis of the application of big data and AI in each component of the CIPP evaluation system, including context evaluation, input evaluation, process evaluation, and outcome evaluation. The research reveals how big data and AI technologies empower educational evaluation, improving its accuracy and efficiency. Finally, it discusses future development trends and prospects, highlighting the potential and innovative directions of big data and AI technologies in the field of educational evaluation.

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