Criteria for selecting artificial intelligence tools and systems for educational purposes

1. Introduction

As it has been repeatedly emphasised in this e-course, artificial intelligence introduces new possibilities in education and enables the improvement of learning and teaching through personalised approaches, increased efficiency, and support for pedagogical decision-making.

The full potential of these solutions can be realised only with a thoughtful and responsible selection of tools and systems based on artificial intelligence.

An inadequately careful selection of artificial intelligence tools and systems can lead to various challenges, including technical difficulties, limited reliability of results, and risks related to privacy protection, algorithm transparency, and ethical issues. Therefore, it is necessary to establish clear and measurable criteria to assess the suitability, security, and pedagogical value of a particular tool or system in the educational context.

Carefully selected artificial intelligence tools and systems allow the alignment of technological functionalities with educational goals, ensure respect for ethical principles and legal requirements, and create an inclusive environment in which all participants have equal opportunities to learn and progress.

The following section defines and explains the key criteria that can serve as a basis for making informed decisions about the implementation and use of artificial intelligence tools in education.