Experience in study workload formation automation process
Palabras clave:
Academic workload, automation algorithms, educational process organization.Resumen
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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Grotsev A.R., Tomko V.N. (2012). Possibilities of using HTML5 when creating interface elements for training systems. Educational Technology and Society. 3, 571-582.
Kabanov V.N. (2013). Labour Rate Setting in Higher Education Institutions. Economics of Education. 2, 42-48.
Kalyuzhny N.V. (2015). Analysis of the process of distribution of the academic load of the higher-education teaching personnel at the chairs. Science Time. 6(18), 199-202.
Kukin A.V. (2003). Mathematical model of the distribution of academic workload in a University. MsiM. 2(12), 165-170.
Pyankova N.V., Glotina I.M., Nugolnykh K.V. (2013). Prospects for solving the problem of automation of distribution and accounting of the academic load at the chairs. Perm Agrarian Bulletin. 2(2), 53-55.
Tolstykh E.S., Tolstykh A.A. (2014). Automation of scheduling in the Educational Process Management System. Territory of Science. 1, 41-48.
Vikulin M.A., Khoroshko L.L. (2017). Development of the reception check digit storage service using the MAI e-learning system. XLIII International Conference for Young Researchers. Moscow: Moscow Aviation Institute (National Research University). Available at: https://gagarin.mai.ru/files/2017/Abstracts.pdf.
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