STATION ROTATION MODEL OF BLENDED LEARNING IN HIGHER EDUCATION
ACHIEVING A BALANCE BETWEEN ONLINE AND IN-PERSON INSTRUCTION
DOI:
https://doi.org/10.18316/rcd.v16i41.11434Palabras clave:
blended learning, rotational model, universities, Ukraine, digitalisationResumen
The purpose of the article is to empirically test the effectiveness of the model of teaching with rotating stations in a mixed format on the basis of a survey conducted among teachers of higher education institutions in Ukraine. The study uses a mixed-methodology approach to collect qualitative and quantitative data from 65 teachers during the first semester of the 2023-2024 academic year. The main instruments are questionnaires and interviews among teachers who have used the Station Rotation Model. The responses were processed using descriptive statistics and comparative analysis to identify any significant differences in the results. The results emphasise the need for careful selection of a platform for distance learning and the acquisition of skills in creating e-resources. The results of the study provide practical recommendations for the implementation of the model in the Ukrainian higher education context. This is important for Ukrainian higher education institutions looking for optimal methods of blended learning. The findings of the study highlight the positive attitude of teachers to the proposed model, which promotes the individualisation of learning and development of digital competence. However, implementation requires additional time and advanced digital skills of teachers. The average score of the model's effectiveness (approximately 4.046) and the percentage distribution in scores 4 (47.69%) and 5 (30.77%) indicate a high level of acceptance of this approach by modern teachers. The recommendations are based on the individual experience of teachers, indicating the variability in the choice of the optimal means of communication with students. The study contributes to the understanding of the effectiveness of the blended learning model and will help to optimise its wider implementation.
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