Keyword: «interdisciplinary approach»

The article examines modern approaches to foreign language teaching, focusing on the development of professionally-oriented foreign language competence among students in the humanities. The author analyzes key methodological strategies aimed at integrating language learning with professional training and emphasizes the importance of an interdisciplinary approach in the educational process. The paper presents examples of successful practices that contribute to the development of communication skills and critical thinking among students, as well as discusses modern technologies and resources used in teaching. The article will be useful for educators, methodologists, and researchers interested in enhancing the effectiveness of foreign language instruction in the context of humanities education.

This article examines the synergy of computer science and mathematics through the prism of an interdisciplinary approach to studying Cauchy sequences and describes how the interaction of mathematical theories and algorithmic practices allows us to create more efficient and robust algorithms for solving complex problems. The article analyzes the use of Cauchy sequences in various areas of computer science, such as numerical computing, data processing and machine learning, and emphasizes the importance of a mathematical foundation for the development of algorithmic thinking. Conversely, examples of the practical application of an interdisciplinary approach are analyzed, demonstrating how the synergy of the two sciences can lead to new discoveries and innovations. But this is possible only if there is a developed skill of independent problem solving, using a variety of tools. Thus, the article talks not so much about an interdisciplinary approach, but about the formation of universal literacy of students through the synthesis of mathematics and computer science. This article explores the interaction between the mathematical concept of the Cauchy sequence and its application in computer science, especially in the context of algorithmic thinking. At the same time, both mathematics and computer science are considered in the dominant format, that is, the role of each of the subjects is not reduced to the level of a tool. That is, on the one hand, the article reveals mathematical principles that help to form clear and effective algorithmic solutions in programming and data analysis. On the other hand, machine learning and optimization algorithms help to improve mathematical calculations in data processing. Thus, the article includes examples of the application of Cauchy sequences in various areas of computer science, such as numerical methods, machine learning and data processing. The main approaches to teaching algorithmic thinking are also discussed, with an emphasis on the importance of a mathematical foundation. This article presents the mutual penetration of two disciplines, with an attempt to maintain a balance between them, without translating into a tool format.

This article explores interdisciplinary approach to teaching foreign languages in light of the requirements of the Russian Federal State Educational Standards (FGOS). It examines the theoretical foundations of integrating linguistic and subject-specific content, including the Content and Language Integrated Learning (CLIL) methodology, as well as practical prospects–such as enhancing learner motivation, fostering a holistic worldview, and supporting inclusive education. Particular attention is paid to key challenges: insufficient teacher training, a shortage of appropriate teaching and methodological resources, and organizational and assessment-related constraints. The article concludes that systemic changes in teacher education, curriculum design, and assessment procedures are essential for the effective implementation of interdisciplinary language instruction.