---
res:
  bibo_abstract:
  - "<jats:title>Abstract</jats:title>\r\n          <jats:p>Statistics and machine
    learning are critical because they play an essential role in our everyday lives
    and the careers we may pursue in the future. It may be beneficial to introduce
    machine learning, such as decision trees (DTs), at an early stage of education.
    The data-based construction of DTs is an example of a machine learning process,
    which can be addressed in mathematics or statistics teaching because of relatively
    low prior knowledge requirements. This paper focuses on investigating how sixth-grade
    students create and evaluate data-based DTs. The basis is a teaching unit that
    aims to lay the foundation for machine learning and enhance students’ understanding
    of the process. We investigate students’ processes in detail while they build
    DTs with data cards about food items to predict whether a new item is recommendable.
    After the teaching unit, an interview study examines students’ strategies for
    creating decision trees. The findings contribute to understanding students’ learning
    processes and the challenges when working with decision trees.</jats:p>@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Susanne
      foaf_name: Podworny, Susanne
      foaf_surname: Podworny
      foaf_workInfoHomepage: http://www.librecat.org/personId=30619
    orcid: 0000-0002-6313-5987
  - foaf_Person:
      foaf_givenName: Rolf
      foaf_name: Biehler, Rolf
      foaf_surname: Biehler
      foaf_workInfoHomepage: http://www.librecat.org/personId=16274
  - foaf_Person:
      foaf_givenName: Yannik
      foaf_name: Fleischer, Yannik
      foaf_surname: Fleischer
      foaf_workInfoHomepage: http://www.librecat.org/personId=42660
    orcid: https://orcid.org/0000-0003-0318-0329
  bibo_doi: 10.1007/s11858-024-01649-w
  dct_date: 2025^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1863-9690
  - http://id.crossref.org/issn/1863-9704
  dct_language: eng
  dct_publisher: Springer Science and Business Media LLC@
  dct_title: Young students’ engagement with data to create decision trees@
...