This study employs a bibliometric approach to analyse common research themes, high-impact publications and research venues, identify the most recent transformative research, and map the developmental stages of data-driven learning (DDL) since its genesis. A dataset of 126 articles and 3,297 cited references (1994–2021) retrieved from the Web of Science was analysed using CiteSpace 6.1.R2. The analysis uncovered the principal research themes and high-impact publications, and the most recent transformative research in the DDL field. The following evolutionary stages of DDL were determined based on Shneider’s (2009) scientific model and the timeline generated by CiteSpace, namely, the conceptualising stage (1980s–1998), the maturing stage (1998–2011), and the expansion stage (2011–now), with Stage 4 just emerging. Finally, the analysis discerned potential future research directions, including the implementation of DDL in larger-scale classroom practice and the role of variables in DDL.

本研究采用文献计量方法来分析常见的研究主题、高影响力的出版物和研究场所，确定最新的变革性研究，并绘制数据驱动学习（DDL）自诞生以来的发展阶段。使用 CiteSpace 6.1.R2 分析了从 Web of Science 检索的 126 篇文章和 3,297 篇引用参考文献（1994-2021 年）的数据集。该分析揭示了 DDL 领域的主要研究主题和高影响力出版物以及最新的变革性研究。根据Shneider（2009）的科学模型和CiteSpace生成的时间线，确定了DDL的以下演化阶段，即概念化阶段（1980年代-1998年）、成熟阶段（1998年-2011年）和扩展阶段（2011年-2011年）。现在），第四阶段刚刚出现。最后，