Artificial intelligence systems play a key role in many parts of our lives. It is no surprise that they are now part of education too, especially through intelligent tutoring systems. These systems work alongside teachers to give students a high-quality, complete learning experience.

We have developed a web application based on the idea of intelligent tutoring system to help students learn and master the multiplication tables. We used reinforcement learning, a machine learning technique, based on the continuous interaction between the environment (the learner) and the learning agent (the intelligent tutor). The main idea behind reinforcement learning is the process of constantly adapting the agent’s actions during interactions based on feedback from the environment. Each interaction consists of the agent selecting a task for the learner. The learner then responds with the answer and sends the response back to the agent. The agent then updates its model based on the feedback provided. We have assumed that there will be a number of interactions per game, and through these repeated interactions, students will gradually improve their mastery of the multiplication tables. The app will track progress over time, providing statistics on each student's performance and incorporating gamification elements, to motivate and engage students in their learning journey.

This article describes a pilot study of the app we have developed and was created out of the desire to test the app before releasing it to the students. The main idea was to get feedback about the app and to identify and correct possible errors. The app has been developed for students aged 8 to 10, but there is no age limit, as there is almost always room for improvement and refreshment when it comes to mastering multiplication tables. The research was carried out on a small group of university students.

Keywords: AI in Education, Reinforcement learning, Multiplication tables.