---
res:
  bibo_abstract:
  - "<jats:title>Abstract</jats:title>\r\n                  <jats:p>This study investigates
    how secondary students construct and evaluate decision trees in an open exploratory
    task using CODAP. By analyzing students’ tree products and oral self-reports,
    we identified different data-based and context-based approaches to predictor selection
    and stopping criteria. Students engaged with key ideas of predictive modeling,
    including classification, model construction, accuracy, generalization, and interpretability.
    Informal exploration offered rich opportunities for subsequent teaching by enabling
    students to begin reconstructing central technical ideas and critical tensions
    of predictive modeling through diverse but meaningful reasoning approaches.</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: Rolf
      foaf_name: Biehler, Rolf
      foaf_surname: Biehler
      foaf_workInfoHomepage: http://www.librecat.org/personId=16274
  bibo_doi: 10.1007/s11858-026-01806-3
  dct_date: 2026^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: 'Informal approaches to predictive modeling: fostering data literacy
    and critical engagement through decision tree construction@'
...