---
_id: '58353'
abstract:
- lang: eng
  text: "<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>"
author:
- first_name: Susanne
  full_name: Podworny, Susanne
  id: '30619'
  last_name: Podworny
  orcid: 0000-0002-6313-5987
- first_name: Rolf
  full_name: Biehler, Rolf
  id: '16274'
  last_name: Biehler
- first_name: Yannik
  full_name: Fleischer, Yannik
  id: '42660'
  last_name: Fleischer
  orcid: https://orcid.org/0000-0003-0318-0329
citation:
  ama: Podworny S, Biehler R, Fleischer Y. Young students’ engagement with data to
    create decision trees. <i>ZDM – Mathematics Education</i>. Published online 2025.
    doi:<a href="https://doi.org/10.1007/s11858-024-01649-w">10.1007/s11858-024-01649-w</a>
  apa: Podworny, S., Biehler, R., &#38; Fleischer, Y. (2025). Young students’ engagement
    with data to create decision trees. <i>ZDM – Mathematics Education</i>. <a href="https://doi.org/10.1007/s11858-024-01649-w">https://doi.org/10.1007/s11858-024-01649-w</a>
  bibtex: '@article{Podworny_Biehler_Fleischer_2025, title={Young students’ engagement
    with data to create decision trees}, DOI={<a href="https://doi.org/10.1007/s11858-024-01649-w">10.1007/s11858-024-01649-w</a>},
    journal={ZDM – Mathematics Education}, publisher={Springer Science and Business
    Media LLC}, author={Podworny, Susanne and Biehler, Rolf and Fleischer, Yannik},
    year={2025} }'
  chicago: Podworny, Susanne, Rolf Biehler, and Yannik Fleischer. “Young Students’
    Engagement with Data to Create Decision Trees.” <i>ZDM – Mathematics Education</i>,
    2025. <a href="https://doi.org/10.1007/s11858-024-01649-w">https://doi.org/10.1007/s11858-024-01649-w</a>.
  ieee: 'S. Podworny, R. Biehler, and Y. Fleischer, “Young students’ engagement with
    data to create decision trees,” <i>ZDM – Mathematics Education</i>, 2025, doi:
    <a href="https://doi.org/10.1007/s11858-024-01649-w">10.1007/s11858-024-01649-w</a>.'
  mla: Podworny, Susanne, et al. “Young Students’ Engagement with Data to Create Decision
    Trees.” <i>ZDM – Mathematics Education</i>, Springer Science and Business Media
    LLC, 2025, doi:<a href="https://doi.org/10.1007/s11858-024-01649-w">10.1007/s11858-024-01649-w</a>.
  short: S. Podworny, R. Biehler, Y. Fleischer, ZDM – Mathematics Education (2025).
date_created: 2025-01-24T07:55:53Z
date_updated: 2025-01-24T07:57:00Z
department:
- _id: '363'
doi: 10.1007/s11858-024-01649-w
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://link.springer.com/article/10.1007/s11858-024-01649-w
oa: '1'
publication: ZDM – Mathematics Education
publication_identifier:
  issn:
  - 1863-9690
  - 1863-9704
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Young students’ engagement with data to create decision trees
type: journal_article
user_id: '37888'
year: '2025'
...
