When Practice Meets Theory: from trace and self-reported data to self-regulated learning model (coding)

Here you can find the material used for the publication: "When Practice Meets Theory: from trace and self-reported data to self-regulated learning model ", accepted in the LASI Spain conference 2026. In this paper, we present an analysis of 206 indicators extracted from three systematic literature reviews on traced data and SRL, and six instruments identified in one review on SRL self-reported data, mapping them towards the COPES model proposed by Winne and Hadwin (1998). To categorise indicators and instruments, the main author applied deductive coding, using  COPES model as a reference framework. Second, all dubious cases were discussed among the four authors. Third, taking into account the decisions from the previous step, the main author reviewed the codification again to ensure the same criteria were applied in all cases. Fourth, two authors went through all indicators and instruments, verifying the coding and raising potential disagreements, which were finally discussed and solved. 

The material contains a spreadsheet with two tabs. The first one with the coding of indicators and the other one with the coding of instruments.

本数据集收录了已被2026年LASI西班牙会议（LASI Spain 2026）接收的学术论文《当实践邂逅理论：从追踪数据与自我报告数据到自我调节学习模型》（"When Practice Meets Theory: from trace and self-reported data to self-regulated learning model"）所使用的全部研究材料。
在本研究中，我们对两类研究资源展开分析：一是从三篇聚焦追踪数据（traced data）与自我调节学习（Self-Regulated Learning, SRL）的系统文献综述中提取的206项指标；二是从一篇针对自我调节学习自我报告数据的综述中筛选出的6种研究工具，并将上述指标与工具逐一映射至Winne与Hadwin于1998年提出的COPES模型。为完成指标与研究工具的分类工作，第一作者以COPES模型为参考框架，采用演绎编码法开展编码工作；其次，四位作者对所有存疑的编码案例进行集体讨论；再次，结合前述讨论达成的共识，第一作者再次复核全部编码结果，以确保所有案例均遵循统一的编码标准；最后，两位作者对全部指标与研究工具进行逐一核查，验证编码结果并提出潜在分歧，最终经充分讨论解决所有分歧。
本数据集包含一份含两个工作表的电子表格：第一个工作表存储指标的编码结果，第二个工作表存储研究工具的编码结果。