Techniques for using artificial intelligence to personalise learning for individuals

Pedagogical techniques are concrete procedures, activities, and tools used to achieve the goals defined by teaching strategies and pedagogical methods in practice. While a teaching strategy determines the direction and method of teaching and learning, a pedagogical technique demonstrates how this method is implemented through specific steps, activities, and didactic approaches at the operational level in the educational process.

In the context of artificial intelligence in education, pedagogical techniques include the use of AI tools and systems that enable a deeper understanding of the learning process and its adaptation to individual needs.

These tools can support content personalisation, analysis of student activities, automated progress monitoring, and the provision of real-time feedback.

As previously emphasised, the value of integrating artificial intelligence into the educational process does not stem from the technology itself but from a pedagogically thoughtful application aligned with goals, learning outcomes, and teaching strategies and methods.

Therefore, the application of any technology, including artificial intelligence, in education requires consideration of its purpose and pedagogical justification.

Before introducing a specific AI tool or system, it is necessary to:

1. Assess the pedagogical potential of AI tools and systems – understand how they can support the achievement of educational goals, develop competencies, and improve the learning process.
2. Analyse examples of good practice in the application of selected AI tools and systems in education, ensuring their use is based on proven experiences and aligned with pedagogical principles and the needs of a specific teaching context.

This approach ensures that the application of AI technology is pedagogically grounded and that the professional and ethical responsibility of teachers in the teaching process is maintained.

AI-based pedagogical techniques can significantly enrich teaching practice, especially in areas related to the personalisation of learning and support for student self-regulation.

By using AI systems that monitor student activities, analyse learning patterns, and offer recommendations, it is possible to adapt content and learning pace to individual students more precisely. In addition, artificial intelligence enables the development of techniques that encourage reflection, collaboration, and formative assessment, making the teaching process more dynamic and student-centred.

Below are examples of specific pedagogical techniques that use artificial intelligence tools and systems to support the achievement of the goals of individual learning methods.