Аннотация
The paper examines the feasibility of using Python-based language learning software to improve the vocabulary of engineering students as a secondary language. The purpose of the paper is to investigate the following key parameters such as time frame, repeatability, ease of use of the software, and limited time for learning. Two student groups participated in this study – the first-year and the second-year students of engineering faculty. They showed a fluctuating trend in both groups, with the accuracy rate remaining the same for the first six weeks and then increasing as the students learned new words. Software like this could be used as a soft skill-based learning method to improve the language absorption of engineering-based students for non-English speaking student groups. The results indicated that both student groups increased the average vocabulary and had only 20 percent wrong answers by the end of the study programs compared to the 80 percent and 50 percent mistakes at the beginning of the study.