DOI: https://doi.org/10.31071/kit2020.16.14

Inventory reference

ISSN 1812-7231 Klin.inform.telemed. Volume 15, Issue 16, 2020, Pages 133-141

Author(s)

O. A. Ryzhov, N. A. Ivankova, O. I. Androsov

Institution(s)

Zaporizhzhia State Medical University, Zaporizhzhia, Ukraine

Article title

Model of functional system of adaptive control of student learning process in e-learning systems

Abstract (resume)

Introduction. The introduction of distance learning based on a cloud-oriented learning environment (CLE) in the system of medical education of higher medical educational institutions changes the structure of the pedagogical system. The simple transfer of pedagogical teaching technologies to the new environment fails to achieve the goal of learning. The introduction of modern learning technologies in higher medical educational institutions requires the development of a functional model of the pedagogical system.

The study aims. To develop a model of adaptive management of the student learning process in e-learning systems (e-learning) in cloud-based pedagogical systems to organize distance learning in medical universities.

Materials and methods. The study was conducted on the basis of Zaporizhzhia State Medical University during April–December 2020. The analysis of the state of infrastructure of information and educational environment of ZSMU was carried out using methods of system analysis and hierarchical decomposition of organizational objects of the university.

Results. The authors developed a model of adaptive learning management (ALM) in a cloud-based learning environment for an academic discipline, which is deployed in MS Office 365 cloud. The structure of pedagogical system management model was based on the structure of P. K. Anokhin's functional system and the principles of interaction between its components. The proposed model allows to form a personal learning environment in the university cloud in accordance with the educational goals of the discipline, taking into account the specifics of students' learning acquisition and their work with cloud services.

Conclusion. The dynamic model of pedagogical system can be used for software implementation of cloud service on the basis of software processor (automaton), which generates the specification of events (organizational units of pedagogical system) in e-learning system, allows to form a cloud-oriented environment to implement individual learning pathway.

Keywords

Medical education, Distance learning, Functional system, Adaptive e-learning management, Cloud-based learning environment

References

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