Basic concepts of data literacy

7. Data processing and interpretation of results

After data collection, it is necessary to carry out systematic processing and analysis in order to obtain useful, reliable, and applicable information for improving learning and teaching. In this process (see image), artificial intelligence-based systems play an increasingly important role, enabling more efficient pattern recognition and a deeper understanding of complex educational data.

ChatGPT je rekao:Proces obrade i analize obrazovnih podataka uz podršku umjetne inteligencije

ChatGPT je rekaoProces obrade i analize obrazovnih podataka uz podršku umjetne inteligencije

Such situations indicate that, in addition to technical understanding and analytical skills, pedagogical knowledge and ethical judgment are necessary to properly interpret and apply the results. Artificial intelligence can be a valuable tool in education, but final decisions about students and teaching strategies should always be made by humans based on comprehensive insight into the educational context.

The integration of artificial intelligence into the processing and analysis of educational data brings many advantages, but also requires a high level of data and digital literacy among the stakeholders involved. Only a combination of technological understanding, pedagogical judgment, and ethical awareness can ensure that data and its analysis truly contribute to higher quality, more equitable, and more efficient education.