Basic concepts of data literacy

In digital education, data plays a key role in understanding how learning and teaching occur. Large amounts of data are collected in digital environments every day, helping to identify students' needs, monitor their progress, and pinpoint areas where they need additional support. With these insights, teachers can adjust content, methods, and work formats to promote more active, effective, and meaningful learning.

The ability to understand and use data responsibly is becoming a core competency for every education stakeholder, and it is known as data literacy. It enables evidence-based decision-making, a deeper understanding of the learning and teaching process, and the development of a reflective approach to educational practice.

Artificial intelligence (AI) is playing an increasingly important role in analysing and interpreting educational data. As highlighted in the previous topic, AI-based systems can process large amounts of data, identify learning patterns, and provide personalised recommendations. However, their use requires critical thinking and an understanding of ethical principles, privacy protection, and transparency in information processing.

The following content offers fundamental knowledge about the role of data and AI in education, emphasising the importance of understanding and developing data literacy as a key competence for all educational stakeholders.

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