Data for the analysis of STEM teaching and learning sequences

This dataset categorises the 345 teaching and learning proposals collected in various teacher trainings on STEM education between 2017 and 2021. The training participants are active secondary school teachers (training A-C) from different STEM domains ( Mathematics, Science and Technology) and secondary school teachers in initial training (see training D-F). All participating teachers had no prior experience in STEM education, which was the reason they enrolled in this training program. The teaching and learning sequences have not been implemented in the classroom, but are the product of the training. These data have been used to study how teachers conceptualize STEM education and which elements they prioritize. The codes that categorize each item are described in the rubric and can be consulted at: https://doi.org/10.1007/s10763-024-10457-3.