---
res:
  bibo_abstract:
  - <jats:p>This study investigates how 11- to 12-year-old students construct data-based
    decision trees using data cards for classification purposes. We examine the students'
    heuristics and reasoning during this process. The research is based on an eight-week
    teaching unit during which students labeled data, built decision trees, and assessed
    them using test data. They learned to manually construct decision trees to classify
    food items as recommendable or not. They utilized data cards with a heuristic
    that is a simplified form of a machine learning algorithm. We report on evidence
    that this topic is teachable to middle school students, along with insights for
    refining our teaching approach and broader implications for teaching machine learning
    at the school level.</jats:p>@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Franz Yannik
      foaf_name: Fleischer, Franz Yannik
      foaf_surname: Fleischer
      foaf_workInfoHomepage: http://www.librecat.org/personId=42660
    orcid: https://orcid.org/0000-0003-0318-0329
  - 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
  bibo_doi: 10.52041/serj.v23i1.450
  bibo_issue: '1'
  bibo_volume: 23
  dct_date: 2024^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1570-1824
  dct_language: eng
  dct_publisher: International Association for Statistical Education@
  dct_title: Teaching and Learning to Construct Data-Based Decision Trees Using Data
    Cards as the First Introduction to Machine Learning in Middle School@
...