THE ROLE OF STEM IN DATA-DRIVEN LEARNING IN THE SOCIAL SCIENCES

The digital age has precipitated profound changes in all aspects of human life, with education being no exception.Contemporary learning is characterised by increased interactivity, collaboration and a focus on the student as the central element of the educational process.Within a comprehensive educational framework, STEM plays a pivotal role in cultivating a foundation of theoretical and applied knowledge.The objective of the present study was to analyse the implementation of an educational approach based on Science, Technology, Engineering, and Mathematics (STEM) concepts for teaching in the Social Sciences (STSS) through data-driven learning (DLL).The focus was on the development of disciplinary content and science skills as outlined in the curricula of the degree programmes that are part of the STSS.The present study entailed a thorough review of the curricula of the Social Sciences (SS) degrees programmes, with the objective of ascertaining the proportion of STEM subjects included in the curricula.The data collection technique employed involved the retrieval of curricula, with the objective of conducting a comparative study and determining the impact of STEM on the education and outcomes of STEM students.The findings provide an overview of teachers' knowledge of STEM, as well as the development of students' scientific skills through the empowerment of ABD techniques.