Özet:

An important function of the introduction of electronic learning systems and learning management is time management, or schedule. This function is undeservedly ignored by most systems of this class (LMS – Learning Management System), despite their relevance. This is especially true of systems of classical, full-time education in classes. So, the object of research is the learning management system, that is, the automation of the educational process management functions. One of the objectives of the learning planning process is scheduling. This work is dedicated to this very task. One of the options for solving this problem is considered in the work – the use of an adapted approach to scheduling work from the mass service sector to the problem of planning the work of an educational institution and scheduling classes to meet the needs of the educational process is proposed. Compared with other known methods, which are predominantly of «exhaustive» type, this method is less costly and shows good results in practical applications. That is, compiled schedules are suitable and require little additional human costs. The positive results of the implementation of the developed software product are obtained and demonstrated using specific examples: improving the quality of work of the management team, methodologists and teachers. The resulting schedules turn out to be qualitative – appropriate or exceed expectations. This is due to the similarity of planning approaches used to solve problems in both areas – managing call center personnel and scheduling for a school or university. Improved management of the training schedule – in particular, indicators of the process of making changes to the lesson schedule. The novelty and main value of the work lies in the transfer and adaptation of known methods to solve new problems. Thus, it is possible to solve the well-known problem with a new method adapted and adapted to new needs. Moreover, this method is quite effective in terms of time costs. Author Biography Zainab Al-Hilali, Taras Shevchenko National University of Kyiv, 60, Volodymyrska str., Kyiv, Ukraine, 01033 Postgraduate Student Department of Information Systems

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