Dataset: Chilean Teachers' Knowledge and Experience with Artificial Intelligence as a Pedagogical Tool

This dataset contains the statistical analysis results of the study "Chilean Teachers' Knowledge and Experience with Artificial Intelligence as a Pedagogical Tool". The analyses were performed using R and IBM SPSS Statistics 29, covering descriptive statistics, non-parametric tests (Mann–Whitney U, Kruskal–Wallis H, Friedman with post-hoc Wilcoxon), Spearman correlations, multiple linear regression models, and k-means cluster analysis. The dataset includes processed data tables, summary outputs, and figures corresponding to the study’s main findings, as well as supplementary appendices with detailed item statistics, reliability measures, and demographic breakdowns.

本数据集包含研究《智利教师作为教学工具的人工智能（Artificial Intelligence）认知与使用经验》的统计分析结果。本次统计分析采用R语言与IBM SPSS Statistics 29软件完成，涵盖描述性统计、非参数检验（曼-惠特尼U检验、克鲁斯卡尔-沃利斯H检验、弗里德曼检验及其事后威尔科克森检验）、斯皮尔曼相关性分析、多元线性回归模型以及k-means聚类分析。数据集包含对应该研究主要结论的处理后数据表、汇总输出结果与可视化图表，同时附带包含详细条目统计量、信度指标以及人口统计学细分数据的补充附录。