Basic concepts of data literacy

3. Basic concept and data types

According to its structure and method of processing, data are usually divided into three basic groups.

Why is data classification important for teachers?

Distinguishing between data types allows teachers to:

• Select collection methods more effectively (such as automatic recording of activities in an e-learning system or manual entry of grades).
• Ensure proper storage and organisation (using databases, cloud solutions, or documentation systems).
• Apply appropriate analytical tools, including those based on artificial intelligence (AI).

Teachers who understand the nature and capabilities of different data types can make informed decisions in the teaching process, recognise student needs, and shape teaching strategies more effectively. This enhances the quality of the educational process and promotes a culture of evidence-based decision-making.

The role of data in the application of artificial intelligence (AI)

The use of artificial intelligence (AI) in education relies heavily on data as a key resource. AI-based systems analyse educational data to identify patterns, provide recommendations, and personalise the learning experience.

The quality and diversity of available data directly affect the accuracy and usefulness of AI systems. If data is unrepresentative or biased, it can lead to misinterpretations, such as incorrect recommendations for additional learning or inaccurate evaluation of student engagement.

Therefore, it is important for educational professionals to understand how data is generated, processed, and interpreted, and to develop a critical approach to its use.

Thoughtful and ethical use of data is the foundation for developing reliable AI systems, and it is essential for more equitable and effective education.