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Models for the Design and Operation of Digital Educational Environments

https://doi.org/10.31992/0869-3617-2021-30-1-144-155

Abstract

Many educational institutions, assessing their prospects, plan to develop distance educational services using their own electronic and information educational environments (EIEE). During creating and operating EIEE of educational institution (EI), a number of questions arise related to structural, marketing, personnel and other decisions. The purpose of this article is to research the organizational, technical and didactic aspects of the EIEE EI. The methodology of the research is based on methods of system analysis, cybernetics, pedagogical psychology and didacticism.

A conceptual model of the EIEE EI as an organizational and technical system has been proposed. It includes a marketing subsystem, a set of technical tools, various types of security and an organizational subsystem. The main functions of these subsystems and their various components have been identified.

A didactic model of a typical complex of digital educational resources has been developed. Within this model, the diversity of digital educational resources across each academic discipline is integrated into complexes that provide a complete study at different target levels of assimilation, from initial acquaintance to solving uncharacteristic professionally oriented tasks.

From the point of view of pedagogical psychology and cybernetics, the high importance of feedback in EIEE EI is shown. The classification of feedbacks (internal and external) is proposed for the triad “Teacher – Teaching Program – Learner”. The limits of the use of automation in the formation of feedbacks are specified, as opposed to other (non-computer) responses to students’ educational activities. The role and place of feedback in the “digital footprints” of students and teachers is shown and the directions for the use of this data in artificial intelligence systems are outlined.

About the Authors

A. V. Solovov
Samara National Research University
Russian Federation

Alexander V. Solovov - Cand. Sci. (Engineering), Prof.

34, Moskovskoe schosse, Samara, 443086



A. A. Menshikova
Samara National Research University
Russian Federation

Anastasia A. Menshikova - Cand. Sci. (Engineering), Assoc. Prof.

34, Moskovskoe schosse, Samara, 443086



References

1. Brodovskaya, E.V., Dombrovskaya, A.Yu., Petrova, T.E., Pyrma, R.V., Azarov, A.A. (2019). Digital Space of Leading Universities: The Comparative Analysis of Sites. Vysshee obrazovanie v Rossii = Higher Education in Russia. Vol. 28, no. 12, pp. 9-22, doi: https://doi.org/10.31992/0869-3617-2019-28-12-9-22 (In Russ., abstract in Eng.).

2. McAndrew, Q. (2018). Innovation Leashed: How a MOOC-Based Master’s Degree Brings Invention Home to the Institution. Voprosy obrazovaniya = Educational Studies Moscow. No. 4. (Special Edition Following the International Scientific Conference «eLearning Stakeholders and Researchers Summit 2017» (eSTARS)), pp. 60-80, doi: http://doi.org/10.17323/1814-9545-2018-4-60-80

3. Solovov, A.V. (1987). Tekhnicheskie sredstva SAPR: Uchebnoe posobie [CAD Technology: Training Manual]. Kuibyschev: KuAI Publ., 135 p. (In Russ.).

4. Lyachenkov, N.V., Kokotov, V.Y., Solovov, A.V. (1997). Information Technology in the Quality System of Avtovaz. Standarty i kachestvo = Standards and Quality. No. 12, pp. 40-43. (In Russ.).

5. Solovov, A.V. (1995). Proektirovanie komputernykh sistem uchebnogo naznachenia: Uchebnoe posobie [Designing Computer Systems for Training Purposes: Training Manual]. Samara: SSAU Publ., 140 p. (In Russ.).

6. Sclater, N. (2010). E-Education in the Cloud. International Journal on Virtual Management Systems and Individual Learning. Vol. 1, no. 1, pp. 10-19, doi: https://doi.org/10.4018/jvple.2010091702

7. Solovov, A.V. (2009). Training Staff for Virtual Learning Environments. Vysshee obrazovanie v Rossii = Higher Education in Russia. No. 10, pp. 32-36. (In Russ., abstract in Eng.).

8. Polanyi, M. (1962). Personal Knowledge. Towards Post-Critical Philosophy. Chicago: The University of Chicago Press. (Russian Translation M.B. Gnedovskyi, Moscow: Progress Publ., 1985, 349 p.).

9. Shreider, Yu.A. (1987). Expert Systems: Their Learning Opportunities. Vestnik Vysshey Schooly = Higher School Herald. No. 2, pp. 14-19. (In Russ.).

10. Spencer, L.M., Spencer, S.M. (1993). Competence at Work. Models for Superior Performance. John Wiley & Sons, Inc. ISBN: 978-0-471-54809-6, 384 p. (Russian Translation A. Yakovenko, Moscow: HIPPO Publ., 2005, 384 p.).

11. Kuzin, L.P. (1979). Osnovy kibernetiki: V 2-kh t. T. 2. Osnovy kiberneticheskikh modelei: Uchebnoe posobie dlya vuzov [Basics of Cybernetics. The Basics of Cybernetic Models: A Textbook for Universities]. Vol. 2. Moscow: Energiya Publ., 584 p. (In Russ.).

12. Solovov, A.V. (2006). Elekronnoe obuchenie: problematika, didaktika, tekhnologiya [E-Learning: Problems, Didacticism, Technology]. Samara: Novaya Tekhnika Publ., 464 p. (In Russ.).

13. Komarov, V.A., Solovov, A.V. (1986). [Automated Training System and Engineering Intuition]. Vestnik Vysshey Schooly = Higher School Herald. No. 2, pp. 30-33. (In Russ.).

14. Shvarts, I.E. Pedagogika Shkoly [School Pedagogy]. Perm: PGPU Publ., 1968. (In Russ.).

15. Solovov, A.V., Menshikova, A.A. (2015). E-Learning: Development Vector. Vysshee obrazovanie v Rossii = Higher Education in Russia. No. 11, pp. 66-75. (In Russ., abstract in Eng.).

16. Solovov, A.V. (2012). «Gold Cells» of Virtual Learning Environments. Vysshee obrazovanie v Rossii = Higher Education in Russia. No. 11, pp. 133-137. (In Russ., abstract in Eng.).


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ISSN 0869-3617 (Print)
ISSN 2072-0459 (Online)