Supporting data for “Demystifying AI Literacy Education - Fostering Secondary School Students’ AI Literacy”

The datasets are for the PhD thesis "Demystifying AI Literacy Education - Fostering Secondary School Students’ AI Literacy". In the thesis, the AI literacy learning program was evaluated through four iterative cycles. The first cycle assessed the suitability of the AI curriculum and learning resources through experiential learning, while the second cycle explored the importance of game elements compared to the existing approach. The third cycle investigated the effectiveness of CPjBL in a gamified flipped classroom, and the fourth cycle introduced design thinking elements for students to create real AI-driven products. The datasets describe students’ learning outcomes in affective, behavioral, cognitive, and ethical domains.

本数据集旨在支持博士论文《揭开人工智能素养教育的神秘面纱——促进中等学校学生人工智能素养的培育》。在该论文中，通过四个迭代周期对人工智能素养学习项目进行了评估。首个周期通过体验式学习评估了人工智能课程内容及学习资源的适宜性，而第二个周期则探讨了游戏元素相较于现有方法的重要性。第三个周期研究在游戏化翻转课堂中CPjBL（协作式项目式学习）的有效性，第四个周期则引入设计思维元素，以指导学生创建真实的由人工智能驱动的产品。数据集详细描述了学生在情感、行为、认知和伦理领域的学习成果。