The integration of data-driven approaches in education is also increasingly shaping secondary curricula, particularly in areas like funding forecasts, enrollment patterns, and career readiness. However, there is a concern that reliance on software tools, assumed to be free from bias, might influence educational outcomes in ways that are not fully understood. This is especially pertinent in the context of science, technology, engineering, and mathematics (STEM) education, where there is a pressing need to ensure that curricula remain both relevant and of high quality. The rapid growth of data science, reflected in technological advancements and the rising demand for computational skills, is influencing how secondary schools adapt to meet the demands of the digital age, reshaping how STEM subjects are taught and learned.