Supplementary Materials – Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE

This repository contains supplementary materials for the following journal paper: Valdemar Švábenský, Brendan Flanagan, Erwin Daniel López Zapata, and Atsushi Shimada.Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE.ACM Transactions on Knowledge Discovery from Data (TKDD), 2026.https://doi.org/10.1145/3798096 Preprint: https://arxiv.org/pdf/2602.17314 @article{Svabensky2026open, author = {\v{S}v\'{a}bensk\'{y}, Valdemar and Flanagan, Brendan and López Zapata, Erwin Daniel and Shimada, Atsushi}, title = {{Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE}}, journal = {ACM Transactions on Knowledge Discovery from Data (TKDD)}, publisher = {Association for Computing Machinery}, year = {2026}, volume = {20}, number = {4}, numpages = {56}, issn = {1556-4681}, url = {https://doi.org/10.1145/3798096}, doi = {10.1145/3798096}, } Repository content: Dataset, code, and additional materials for the paper. See the README.md file in the attached ZIP archive for details. Attribution (How to cite): If you use or build upon the materials, please use the BibTeX or full-text citation entry above to cite the source paper. Contact: If you notice any issues or breaches of the license terms of this dataset, please contact Valdemar Švábenský using the email address listed in the paper.本仓库收录了下述期刊论文的补充资料： Valdemar Švábenský、Brendan Flanagan、Erwin Daniel López Zapata及Atsushi Shimada。论文题为《学习分析领域的开放数据集：趋势、挑战与最佳实践》，发表于《ACM知识发现与数据事务（ACM Transactions on Knowledge Discovery from Data, TKDD）》2026年刊。DOI：10.1145/3798096 预印本链接：https://arxiv.org/pdf/2602.17314 附论文BibTeX引用格式如下： @article{Svabensky2026open, author = {Švábenský, Valdemar and Flanagan, Brendan and López Zapata, Erwin Daniel and Shimada, Atsushi}, title = {{学习分析领域的开放数据集：趋势、挑战与最佳实践}}, journal = {ACM知识发现与数据事务（ACM Transactions on Knowledge Discovery from Data, TKDD)}, publisher = {美国计算机协会（Association for Computing Machinery)}, year = {2026}, volume = {20}, number = {4}, numpages = {56}, issn = {1556-4681}, url = {https://doi.org/10.1145/3798096}, doi = {10.1145/3798096}, } 仓库内容说明： 本仓库包含对应论文的数据集、代码及额外补充资料。详细信息请参阅附带ZIP压缩包中的README.md文件。 引用要求： 若您使用本仓库的资料或基于其开展二次开发，请采用上述BibTeX格式或完整文本引用条目标注来源论文。 联系方式： 若您发现本数据集存在任何问题或违反许可协议的情形，请通过论文中列明的电子邮箱联系Valdemar Švábenský。