Physical vs. Virtual: Comparing Real-World and Simulated Micro:Bit Environments in Lower Secondary Computer Science

This dataset contains the data, analysis scripts, instruments, and educational materials used in a comparative study involving secondary school students. The study investigated the impact of physical versus virtual learning environemnts on student motivation (using the Academic Motivation Scale, AMS) and learning outcomes (quiz assessments) using the BBC Micro:Bit. Key contents include: Anonymised Raw Data: Pre- and post- test scores for motivation and quiz performance. Research Instruments: The adapted Academic Motivation Scale (AMS), quiz items, and observation protocols for problem-solving strategies. Teaching Materials: Task sheets used during the intervention. Analysis Script: Python code (eval.py) used to perform statistical tests (paired t-tests, Chi-square) and generate visualisations (Hamming distance heatmaps, correlation plots). This repository is intended to support the reproducibility of the findings presented in the associated paper and provide a reference for researchers in Physical Computing education.本数据集包含一项针对中学生的比较研究中所使用的数据、分析脚本、实验器材与教学材料。该项研究借助BBC Micro:Bit，探究了实体学习环境与虚拟学习环境对学生学习动机（采用学术动机量表（Academic Motivation Scale，AMS）进行测量）以及学习成果（测验评估）的影响。 核心内容包括： - 匿名化原始数据：学习动机与测验表现的前测、后测得分。 - 研究工具：经过适配改编的学术动机量表（AMS）、测验题目以及问题解决策略观察方案。 - 教学材料：干预活动中使用的任务单。 - 分析脚本：用于执行统计检验（配对t检验、卡方检验）并生成可视化图表（汉明距离热图、相关图）的Python代码（eval.py）。 本仓库旨在支撑关联论文中所呈现研究成果的可复现性，并为物理计算教育领域的研究者提供参考范本。