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This study applied big data analytics to 2,045 student records from 15 Chinese universities in the Yangtze River Delta to pinpoint key drivers of Social Entrepreneurship Education (SEE) satisfaction. We examined student satisfaction with SEE based on curriculum quality, faculty development, and practical experience. Our findings indicate high overall student satisfaction with SEE, with significant variations across student gender, major, origin, and university. Importantly, SEE curriculum, faculty, and practice experience significantly influence college students’ satisfaction with SEE. By investigating SEE in this region, our study offers valuable insights for educators and college administrators.

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Intelligent Optimization of Social Entrepreneurship Education: A Big Data-Driven Analysis of Student Satisfaction Patterns in China’s Yangtze River Delta

  • 会议论文

  • 发表日期：

    2026年

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  • Xuying Jiang,
  • Sirui Chen,
  • NaiChe Chen,
  • Qian Wang

摘要

This study applied big data analytics to 2,045 student records from 15 Chinese universities in the Yangtze River Delta to pinpoint key drivers of Social Entrepreneurship Education (SEE) satisfaction. We examined student satisfaction with SEE based on curriculum quality, faculty development, and practical experience. Our findings indicate high overall student satisfaction with SEE, with significant variations across student gender, major, origin, and university. Importantly, SEE curriculum, faculty, and practice experience significantly influence college students’ satisfaction with SEE. By investigating SEE in this region, our study offers valuable insights for educators and college administrators.