As a direct response to the needs of teachers who participated in the experimental implementation of the curriculum Artificial Intelligence: From Concept to Application, we present an informative overview of digital tools for learning and teaching about artificial intelligence. The document offers a general overview of tools that can be used in AI-related learning and teaching activities and is intended to support teachers and other education professionals in using artificial intelligence. It also includes important notes related to their use in the educational process. The document is intended solely as support for teachers and does not constitute official approval for the use of the listed tools; rather, it provides a structured overview of possibilities with clear guidance on safe and responsible use. Before introducing any tool into the classroom, teachers are advised to check age restrictions, terms of use, and privacy policies.
Tools for learning about artificial intelligence
This group of tools enables students to understand how artificial intelligence works in a practical way, not only as users, but also as critical observers of technology. Through games, visual tasks, and interactive experiments, students can train their own machine learning models, practice identifying deepfake content, explore how algorithms make decisions, or learn how to write prompts for communicating with AI systems. Tools in this category are particularly suitable for developing digital competencies and critical thinking, and many of them are available free of charge and without registration.
Tools for inclusive education
The second section presents tools that support students with various difficulties, including visual, hearing, reading, and writing impairments. These include, for example, applications that describe images for visually impaired users, tools that convert speech to text and text to speech, solutions for adapting text display for students with dyslexia, and options for automatically generating subtitles for video content.
Tools for developing AI-based projects
The third section lists development environments and platforms such as Scratch, Arduino, Micro:bit, and MIT App Inventor, which enable programming, prototyping, and experimentation with technologies that include elements of artificial intelligence. These tools are particularly suitable for computer science classes but can also be used in project-based learning and cross-curricular activities.
