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Evaluation and optimization of higher education teaching quality based on big data

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Evaluation models enhance teaching quality in higher education, indicating effective strategies for improvement.

The personalized recommendation system achieved an accuracy of 76.5%, improving tailored educational experiences.
AUC of 0.892 for the learning ability evaluation model highlights its predictive accuracy and relevance.
The comprehensive evaluation system structure includes multiple models for assessing teaching quality.
Findings suggest ways to refine teaching evaluation metrics, supporting data-driven educational decisions.

Yunxiang Zhong (2025) studied this question.

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