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Erickson, Tim; Engel, Joachim – Teaching Statistics: An International Journal for Teachers, 2023
This volume is largely about nontraditional data; this paper is about a nontraditional visualization: classification trees. Using trees with data will be new to many students, so rather than beginning with a computer algorithm that produces optimal trees, we suggest that students first construct their own trees, one node at a time, to explore how…
Descriptors: Classification, Data Analysis, Visual Aids, Learning Activities
Biehler, Rolf; Fleischer, Yannik – Teaching Statistics: An International Journal for Teachers, 2021
This paper reports on progress in the development of a teaching module on machine learning with decision trees for secondary-school students, in which students use survey data about media use to predict who plays online games frequently. This context is familiar to students and provides a link between school and everyday experience. In this…
Descriptors: Secondary School Students, Artificial Intelligence, Man Machine Systems, Educational Technology
Tang, Marc – Teaching Statistics: An International Journal for Teachers, 2020
University students in other disciplines without prior knowledge in statistics and/or programming language are introduced to the statistical method of decision trees in the programming language R during a 45-minute teaching and practice session. Statistics and programming skills are now frequently required within a wide variety of research fields…
Descriptors: Statistics, Teaching Methods, Programming, Programming Languages