Tyche Algorithm and Learning Elements Preferences

This dataset contains the result of the survey to learning styles and their learning element preferences. The survey was executed in summer term of 2023 in German universities. The zip folder "implementation.zip" contains the code to the Tyche algorithm with some examples. The Python script runs with Python 3.10.5. Before executing, you need to install the packages of requirements.txt (pip install -r requirements.txt) For executing static and generic Tyche run "run_tyche.py" Refering to Data_local_view.xlsx Learning element01[1] means probability for first learning element after the lecture for Learning Goal. Coding for the numbers in brackets is the following: 1 Learning goal 2 Brief overview 3 Manuscript 4 Quiz 5 Exercise 6 Summary 7 Auditory additional material 8 Textual additional material 9 Visual additional material The presented work is supported by the ‘German Federal Ministry of Research, Technology and Space’ (BMFTR) through the granting of the funding project HASKI (FKZ: 16DHBKI035).本数据集包含关于学习风格及其学习元素偏好的调研结果。 该调研于2023年夏季学期在德国各高校开展。 压缩包"implementation.zip"内含Tyche算法的实现代码与部分示例。本Python脚本适配Python 3.10.5版本。运行前需先安装requirements.txt中所列依赖包（执行命令：pip install -r requirements.txt）。如需运行静态通用版Tyche，请执行"run_tyche.py"。 请参考Data_local_view.xlsx文件。学习元素01[1]代表对应学习目标在课程讲授后首个学习元素的出现概率。 方括号内数字的编码规则如下： 1 学习目标 2 简要概述 3 授课讲义 4 测验 5 练习题 6 总结归纳 7 听觉辅助素材 8 文本辅助素材 9 视觉辅助素材 本研究工作由德国联邦研究、技术与空间部（German Federal Ministry of Research, Technology and Space, BMFTR）通过资助项目HASKI（项目编号：FKZ: 16DHBKI035）提供支持。