Dataset - Generational Dynamics in Higher Education: Understanding the Impact on Student's Grade Point Average

This dataset supports the article “Generational Dynamics in Higher Education: Understanding the Impact on Students’ Grade Point Average.” It contains anonymized survey responses from students and faculty assessing generational characteristics, digital practices, communication styles, and perceived teaching effectiveness, along with self-reported GPA.
The data include sociodemographic variables, Likert-scale items, and generational cohort classifications (Generation X and Millennials). All identifiers were removed to ensure confidentiality. The dataset is prepared for statistical analysis and aims to facilitate transparency, reproducibility, and further research on generational dynamics in higher education.

本数据集配套学术论文《高等教育中的代际动态：探析其对学生平均绩点（Grade Point Average，GPA）的影响》。数据集包含经匿名化处理的学生与教职员工问卷反馈数据，用于评估代际特征、数字行为模式、沟通风格以及主观感知的教学效果，同时收录受访者自行报告的GPA。数据集涵盖社会人口统计学变量、李克特量表条目以及代际群体分类（X世代与千禧一代）。所有可识别身份信息均已剔除，以保障数据保密性。本数据集已针对统计分析完成预处理工作，旨在提升研究透明度与可复现性，并推动高等教育领域代际动态相关的后续研究。