Факультет цифрових технологій та автоматизації виробництва
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Документ A computer oriented model of blended learning of the English language(Національний технічний університет «Дніпровська політехніка», 2020) Isakova, Ye.; Zubenko, K. V.; Paziura, N.; Olekhnovych, V.; Ostashchuk, V.; Зубенко, K. В.; Ісакова, Є. П.; Пазюра, Н. В.; Олехнович, В. Д.; Остащук, В. І.An analysis of the experience of introducing the blended learning model in the process of learning English by students of a non-linguistic university in terms of the place of this model in the educational process, the relevance of its use in modern higher education conditions, defining basic criteria and requirements for the participants of the educational process to ensure the effective implementation of blended learning and determining conditions for the successful organization and control of training within the framework of the blended learning model. Qualitative and quantitative analysis of the results.Документ Modeling the impact of University students research work on the results of their final certification(IOP Publishing, 2020) Melnykov, A.; Shevchenko, N. Yu.; Isakova, Ye.; Bobkova, E.; Шевченко, Н. Ю.The problem of the quality of education is formulated as the central problem of the educational process of the higher education institution. It is emphasized that the final certification is an integral indicator that takes into account all the knowledge and skills acquired during the period of study in various disciplines and other "activities", one of which research work of students (NIRS) is. The task of predicting the influence of students' research activities on the results of their final certification is formulated. Methods of linear multifactor regression and artificial neural networks as a possible mathematical toolkit for predicting are described. It is shown that the best predicting result is provided by the method of artificial neural networks with a perceptron architecture with 8 input factors and two hidden layers with 5 neurons in each. It is indicated that the proposed approach to predicting can be applied when planning the department's activities, for example, when correcting the curriculum of specialties, syllabuses of scientific disciplines, while adjusting the department's management strategy regarding the interaction of students with academic supervisors.