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As a consequence of the increasing influence of machine learning on ourlives, everyone needs competencies to understand corresponding phenomena, butalso to get involved in shaping our world and making informed decisionsregarding the influences on our society. Therefore, in K-12 education, studentsneed to learn about core ideas and principles of machine learning. However, forthis target group, achieving all of the aforementioned goals presents anenormous challenge. To this end, we present a teaching concept that combines aplayful and accessible unplugged approach focusing on conceptual understandingwith empowering students to actively apply machine learning methods and reflecttheir influence on society, building upon decision tree learning.

Data, Trees, and Forests -- Decision Tree Learning in K-12 Education