Introduction. With the development of educational technologies, MOOCs (Massive Open Online Courses) have become popular; however, their large volume and lack of interactivity can make learning difficult. In contrast, Telegram, being the most popular messenger in Russia, does not require moving to specialized websites and allows for the creation of accessible, personalized learning solutions.
Aim. To develop a Telegram bot for teaching medical students the basics of ECG using the microlearning method.
Materials and Methods. The programming language Python and the libraries python-telegram-bot and aiogram are used to develop the Telegram bot. The training structure includes 5 modules corresponding to the medical university curriculum, specifically: "ECG Basics," "Rhythm Disorders," "Conduction Disorders," "Hypertrophies," and "Acute Coronary Syndrome." Each module consists of several lessons, which are in turn divided into steps. Each lesson includes 4 theoretical steps and 4 practical steps. Thus, 50% practice is achieved, and an algorithmic task on ECG analysis is added at the end of each module. Theoretical steps contain textual and visual materials, while practical steps contain test assignments aimed at checking and reinforcing knowledge. The microlearning system is organized in such a way that the material is broken down into small parts. Points are awarded for each step completed, and based on the training results, a certificate is issued—either a standard one or one with distinction, depending on the number of points scored.
Results. As a result of the development of the Telegram bot, a digital tool for teaching students the basics of ECG has been created. The bot will allow students to master the theoretical and practical knowledge necessary to successfully pass the exam.
Conclusions. The Telegram bot being developed for ECG training using the microlearning method is expected to prove to be an effective tool for preparing medical students. It will provide a convenient, accessible, and motivating way to master complex material and will help students improve their level of knowledge in ECG interpretation. Such an approach has the potential for implementation into the independent part of the learning process and can serve as a supplement to traditional teaching methods.
