Data-based modeling as an implementation to develop statistical literacy

Design and Implementation for Enhancing Statistical Literacy among Upper Secondary School Students

Authors

  • Matthias Mohr LMU München
  • Luzia Hofer LMU München
  • Stefan Ufer LMU München

DOI:

https://doi.org/10.18716/ojs/md/2025.2274

Keywords:

data, modeling, statistical literacy

Abstract

This paper presents a comprehensive exploration of data-based modeling as a strategic approach to develop statistical literacy among upper secondary students. We detail a process framework that was implemented as part of a student laboratory, following specific content and methodical design principles. We assess the model’s application, acknowledging its educational contributions, pinpointing areas requiring refinement, and identifying gaps in current understanding. The implementation demonstrated benefits, especially in fostering students’ engagement and comprehension of statistical concepts.

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Published

2025-12-20

Issue

Section

Themenschwerpunkt 2025: data literacy - theoretische Perspektiven, unterrichtliche Konzepte, Ansätze der Entwicklung

How to Cite

Data-based modeling as an implementation to develop statistical literacy: Design and Implementation for Enhancing Statistical Literacy among Upper Secondary School Students. (2025). Mathematica Didactica, 48(2). https://doi.org/10.18716/ojs/md/2025.2274