COMPARATIVE ANALYSIS OF FULL-TIME AND ONLINE LEARNING FOR ENGINEERING STUDENTS TO BUILD A SINGLE INTEGRATED EDUCATIONAL TRAJECTORY

Abstract

The relevance of this work is caused by the constantly changing epidemiological and political environment, which makes it necessary to dynamically rebuild the educational process in higher educational institutions, and forces teachers to modify the educational trajectory to increase its effectiveness. Under these conditions, the task of finding the most rational balance between full-time and online learning formats is becoming increasingly important. The aim of the study is to develop recommendations for the implementation of elements of an integrated educational trajectory of an academic discipline, which ensures the combination of tools and means of full-time and online education in the system of engineering education, taking into account the specifics of the direction of training. The difficulties that arise when deciding on a combination of tools and means of full-time and online learning necessitate the use of methods of verbal analysis and decision-making in the absence of significant statistical information. The work uses qualitative research methods, such as: observation, generalization of own practical experience, combined pairwise comparisons, collection of information and its interpretation. The authors have carried out the analysis of the mechanisms for implementing the elements of the educational trajectory in full-time and online formats and assessed their strengths and weaknesses in terms of training in engineering specialties. Effective means and approaches to the organization of full-time and online learning for the implementation of various elements of the educational trajectory are identified, taking into account the specifics of training bachelors, masters and specialists. The authors recommended the approaches to updating the educational trajectory based on pedagogical design models. It is shown that the results of research in the field of pedagogical design help to find the right approach and apply the chosen model in practice, taking into account the characteristics of various learning formats.