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January 1, 2026International Journal of Embedded Systems

A study on intelligent in-class education quality assessment pattern bottom on improved support vector machine

Yang Li Haiyu Zhang

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Key Points

This research aims to develop an improved method for assessing the quality of education using intelligent algorithms.
Utilized an enhanced support vector machine for data analysis.
Evaluated education quality assessment patterns in classroom settings.
Integrated machine learning techniques to improve accuracy.
Demonstrated a more efficient assessment pattern for education quality.
Reported improved classification accuracy of educational outcomes using machine learning techniques.

Implication

Analysis uncovers a new pattern for assessing education quality in classrooms, suggesting improved learning outcomes.

Abstract

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69cf5f305a333a821460e1f2 https://doi.org/10.1504/ijes.2026.10077352

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