Keyword: «pedagogical design»

The relevance of this article is due to the problem of insufficient speed and efficiency of the education system development in the context of digitalization and its consequences: rapidly growing information flows, which create the problem of student orientation, as well as the rapid development of digital technologies. The aim of this article is to justify the effectiveness of backward design technology in planning the educational process of a university in the context of the digital transformation of society. It is noted that changes caused by digitalization affect not only the goals of the educational process, but also its components, however, the dynamism of changes should not disrupt the systematic nature of the educational process. In the article, the educational process at a university is considered as a dynamic system with changing parameters and the influence of external conditions, and the concept of backward design is proposed to be used for planning and developing educational programs and educational materials, since it allows you to build changes in individual elements depending on changes in the result. The author notes that backward design should be considered as a strategic approach for the development and implementation of innovative teaching methods and models based on digital technologies. The article also examines the basic principles and stages of backward design, including defining learning objectives, developing effective assessment methods, creating content, and selecting appropriate technologies. The advantages and challenges associated with the introduction of the concept of backward design into the educational process are considered. The need to develop the competences of participants in the educational process, including teachers and students, for the successful implementation of this concept is noted. Particular attention is paid to the problem of uncertain formulation of terms in pedagogy during the transition to the digital environment. The author notes that the digital environment requires a clear and structured description of objects, especially when using algorithms and machine learning. In conclusion, the importance of applying the concept of backward design for the effective transformation of the educational process of a university in the context of digitalization is emphasized and several practical recommendations and resources are proposed that can be used to support the process of implementing backward design in educational institutions.

The article addresses a methodological problem related to the use of generative artificial intelligence (GAI) in the system of continuing professional education (CPE), which has become particularly acute under conditions of hybrid learning and in the context of foreign language teaching. The expansion of GAI-based practices in education is accompanied by growing methodological fragmentation, when digital tools are applied without reliance on a coherent logic of pedagogical design. As a result, GAI is used primarily as a means of generating instructional content, leading to the substitution of pedagogical thinking with technical operations and to a loss of coherence in learning activities. The aim of the study is to develop and empirically validate a model of pedagogical task design involving GAI that ensures alignment between educational goals, learning actions, and learning outcomes within CPE. The methodological framework of the study is based on systemic and activity-based approaches, principles of andragogy, and UNESCO framework documents on AI competences for teachers and learners. The empirical basis includes data from pre- and post-course surveys of foreign language teachers, as well as a content analysis of instructional tasks developed by participants during an author-designed professional development program implemented in a hybrid format. The analysis revealed persistent methodological contradictions in the integration of GAI and substantiated the need for a structural model of pedagogical design. As a result, the CROPS model (Concept of the goal, Resource, Operation, Proof, Scenario) is proposed as a reproducible structure for designing learning tasks with the involvement of generative AI. The findings demonstrate that the application of the model reduces methodological fragmentation, restores the pedagogical logic of learning activities, and preserves the teacher’s subject role in an AI-enriched educational environment. The theoretical significance of the study lies in clarifying the role of structural pedagogical design models under conditions of digital transformation in CPE. The practical significance is determined by the applicability of the CROPS model in professional development and professionally oriented training programs, including hybrid and online formats.