The Bootstrap Project's Data Science curriculum has trained about 100 teachers who are using it around the country. It is specifically designed to aid adoption at a wide range of institutions. It emphasizes valuable curricular goals by drawing on both the education literature and on prior experience with other computing outreach projects. It embraces "three P's" of data-oriented thinking: the promise, pitfalls, and perils. This paper briefly describes the curriculum's design, content, and outcomes, and explains its value on the road to AI curricula.
Integrated Science, Technology, Engineering and Mathematics (STEM) Education through Active Experience of Designing Technical Toys in Vietnamese Schools
The Illusion of Understanding: How Middle-Schoolers Fail to Regulate Inquiry with ChatGPT in a Science Task
Hector Research Institute, University of Tübingen(蒂宾根大学赫克托研究所);Department of Psychology, University of California Berkeley(加州大学伯克利分校心理学系);Inria Research center, University of Bordeaux(波尔多大学法国国家信息与自动化研究所研究中心)
Should There be a Teacher In-the-Loop? A Study of Generative AI-Personalized Tasks Middle School
Department of Teaching and Learning(教学与学习系);Southern Methodist University(南方 Methodist 大学);WestEd(西斯特教育);American Institutes for Research(美国研究机构);University of Massachusetts Amherst(马萨诸塞大学阿姆赫斯特分校)
A community-driven optimization framework for redrawing school attendance boundaries
Georgia Institute of Technology(佐治亚理工学院);Northeastern University(东北大学);University of Michigan(密歇根大学);Winston-Salem/Forsyth County Schools(温斯顿-塞勒姆/福赛斯县学区);Virginia Commonwealth University(弗吉尼亚联邦大学)