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Puzzle-solving trace log data in a pair-programming digital educational escape room

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https://zenodo.org/record/14627345
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This dataset accompanies the study titled "A Learning Analytics Perspective on Educational Escape Rooms," published in Interactive Learning Environments (https://doi.org/10.1080/10494820.2022.2041045). The study utilizes learning analytics to analyze participant interactions, behavioral sequences, and learning outcomes in a pair-programming educational escape room. The dataset comprises three files: File Descriptions: long_data.csvThis file contains event-level log data in SPELL format for each team during the escape room activity. Each row represents a single event and includes the following variables: teamId: Identifier for the team. from: Start time of the event (in minutes since the escape room's start). to: End time of the event (in minutes since the escape room's start). event: The type of event, which may include: Start Puzzle Solving 1-4 Hint Obtained Hint Failed to Obtain For more details about the meaning of these events, you can check the paper "A Learning Analytics Perspective on Educational Escape Rooms", or "Examining the Use of an Educational Escape Room for Teaching Programming in a Higher Education Setting." seq_all.csvThis file contains team-level sequence data in STS format, created with the seqformat function of TraMineR. Each row corresponds to a team. Each column represents a whole minute of the escape room (from minute 1 to 106, equivalent to 1 hour and 45 minutes). The values in the cells reflect what the team members were doing (event) field from the previous file. grades.csvThis file includes pre-test and post-test scores for each team of the two members. Each row represents a team and contains the following variables: teamId: Identifier for the team. Pre_1 and Pre_2: Pre-test scores for each of the two team members. Post_1 and Post_2: Post-test scores for each of the two team members.These scores capture individual learning outcomes before and after the escape room activity. Usage:This dataset is intended for researchers studying game-based learning, problem-solving processes, and the application of learning analytics in gamified educational settings. It supports the investigation of behavioral patterns, and learning outcomes in educational escape rooms. Licensing and Citation:When using this dataset, please cite the associated study (https://doi.org/10.1080/10494820.2022.2041045) and this Zenodo record.   Contact Information:For further inquiries or information, please contact the corresponding author of the associated study.

本数据集配套于题为《教育密室逃脱的学习分析视角》(*A Learning Analytics Perspective on Educational Escape Rooms*)的研究,该研究发表于《交互式学习环境》(Interactive Learning Environments)期刊,DOI链接为https://doi.org/10.1080/10494820.2022.2041045。 该研究借助学习分析(learning analytics)技术,对双人结对编程式教育密室逃脱活动中的参与者互动、行为序列与学习成果展开分析。 本数据集包含三个文件,具体说明如下: 1. `long_data.csv`:该文件以SPELL格式存储了密室逃脱活动期间各团队的事件级日志数据。每行对应单条事件,包含以下变量: - `teamId`:团队唯一标识符。 - `from`:事件开始时间(以密室逃脱活动启动后的分钟数为计量单位)。 - `to`:事件结束时间(以密室逃脱活动启动后的分钟数为计量单位)。 - `event`:事件类型,可选值包括:Start(活动启动)、Puzzle Solving 1-4(谜题1至4求解)、Hint Obtained(获取提示)、Hint Failed to Obtain(获取提示失败)。 如需了解上述事件的详细含义,可查阅前述研究论文《教育密室逃脱的学习分析视角》,或另一篇题为《高等教育场景下利用教育密室逃脱开展编程教学的实践研究》(*Examining the Use of an Educational Escape Room for Teaching Programming in a Higher Education Setting*)的文献。 2. `seq_all.csv`:该文件以STS格式存储了团队级行为序列数据,通过TraMineR工具包的`seqformat`函数生成。 - 每行对应一个团队。 - 每列代表密室逃脱活动的完整一分钟(覆盖第1分钟至第106分钟,总计1小时45分钟)。 - 单元格内的数值对应前述文件中的事件类型,用于表征对应时刻团队成员的行为状态。 3. `grades.csv`:该文件包含各双人团队两名成员的前测与后测成绩。每行对应一个团队,包含以下变量: - `teamId`:团队唯一标识符。 - `Pre_1`与`Pre_2`:两名团队成员的前测成绩。 - `Post_1`与`Post_2`:两名团队成员的后测成绩。上述分数用于衡量密室逃脱活动前后的个体学习成果。 使用场景:本数据集面向研究游戏化学习、问题解决过程,以及学习分析在游戏化教育场景中应用的科研人员,可用于探究教育密室逃脱活动中的行为模式与学习成果。 许可与引用:使用本数据集时,请引用关联研究(DOI:https://doi.org/10.1080/10494820.2022.2041045)以及本Zenodo数据集记录。 联系方式:如需进一步咨询或获取更多信息,请联系关联研究的通讯作者。
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2025-04-12
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