Scenario Approach to the Development and Use of Learning Management System in Universities

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Abstract

The article offers a scenario approach to the design of learning management system (LMS) structure. It is argued that the LMS structure and it functional components depend on the scenarios of its use in educational process which, in turn, are determined by the type of subject that is based on the main component of education content. There are three categories of the LMS users in the educational process in university: students, teachers, and administrators, and their roles differ from each other. The article provides detailed scenarios of how the LMS is used by various categories of users and describes the structure of the LMS in relation to these scenarios. On the one hand, the LMS represents a structured base of content: that is, it contains theoretical materials as well as tasks and exercises along with certain scales that reflect their difficulty. The weight of these tasks, initially determined by experts, can then be automatically corrected using the methods of mathematical statistics. On the other hand, implementing the described scenarios requires an electronic operating cover of the LMS, among the functions of which is the organization of control and self-checking, as well as providing storage and processing statistics of the LMS use. These statistics should then be automatically turned into the current rating of users which is important for knowledge evaluation and support of learning motivation in students during a semester.

General Information

Keywords: learning management system (LMS), information and communication technologies (ICT), information and educational environment (IEE), scenarios of use of the learning management system, structure of the learning management system

Journal rubric: Educational Psychology

Article type: review article

DOI: https://doi.org/10.17759/pse.2017220604

For citation: Martyushova Y.G. Scenario Approach to the Development and Use of Learning Management System in Universities. Psikhologicheskaya nauka i obrazovanie = Psychological Science and Education, 2017. Vol. 22, no. 6, pp. 45–55. DOI: 10.17759/pse.2017220604. (In Russ., аbstr. in Engl.)

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Information About the Authors

Yanina G. Martyushova, PhD in Education, Associate Professor of the Department of Probability Theory and Computer Modeling, Moscow Aviation Institute (National Research University), Moscow, Russia, ORCID: https://orcid.org/0000-0001-7803-5914, e-mail: ma1554@mail.ru

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