Experience in study workload formation automation process
Abstract
The scheduling of student classes is one of the most difficult and important task in the organization of the educational process in universities. A large amount of work also increases the likelihood of errors, especially if all the work is done manually. This article deals with one of the preparatory stages for drawing up the schedule, namely, the formation of the study workload. This paper describes the experience of using automation algorithms for the process of forming the study workload, covering the full cycle of operations and comprising the following: obtaining initial data and their processing, aggregation of disciplines, estimation of hours, formation of a list of teachers, as well as displaying the resulting information in the form of a computer spreadsheet.
The use of these algorithms will reduce the labor costs associated with the estimation of the study workload, reduce the likelihood of mistakes associated with erratic human nature, as well as provide an opportunity for further automation and optimization of work related to the management of the educational process.
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