This comprehensive teaching concept provides a structured instructional unit on the use of digital tools in upper secondary statistics.
Designed for bilingual (CLIL) mathematics classrooms, the focus lies on data literacy, interpretation, and critical evaluation, not on software operation alone.

Students learn how digital tools support statistical reasoning while understanding their limitations and potential pitfalls.

Didactic Focus

Students will learn to:

• analyse real data sets using digital tools

• visualise data appropriately

• interpret statistical measures and models

• evaluate correlation, regression and predictions

• identify misleading results and visualisations

• reflect critically on data-based conclusions

Contents & Structure

• role of digital tools in modern statistics

• data preparation and visualisation

• descriptive statistics using technology

• scatter plots, correlation and regression

• forecasting and uncertainty

• simulations and randomness

• correlation vs. causation

• critical reflection and data responsibility

• differentiation and teaching guidance

Classroom Use

• Bilingualer Mathe-Unterricht (CLIL)

• upper secondary statistics

• data analysis and modelling

• interdisciplinary teaching

Best for

• CLIL and bilingual mathematics courses

• upper secondary students

• statistics and data literacy units

Keywords

Bilingualer Mathe-Unterricht, digital tools in statistics, CLIL mathematics, data literacy, upper secondary statistics