Identifying and predicting key industry–education integration projects via explainable artificial intelligence (XAI) based machine learning models

Background Identifying priority projects in industry–education integration is critical for optimizing policy support and resource allocation. While prior studies have primarily relied on qualitative assessments, there remains a lack of interpretable, data-driven approaches for large-scale priority p...

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Bibliographic Details

Main Authors:	Yituo Feng, Jungryeol Park
Format:	Artigo
Language:	Inglês
Published:	PeerJ Inc. 2026-04-01
Series:	PeerJ Computer Science
Subjects:	Industry–education integration Priority projects identification SHAP XAI LIME XGBoost
Online Access:	https://peerj.com/articles/cs-3868.pdf
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