DOI: https://doi.org/10.15587/2312-8372.2019.164308

Development of innovative learning technology in systems with dual processes

Olga Morozova

Abstract


The paper proposes the development of innovative learning technologies in systems with dual processes. The object of research is information technology processes and phenomena that occur in systems with dual processes. Creation of a virtual student experimental studio for modeling professional knowledge is proposed. One of the most problematic places is the creation and testing of a digital platform of disciplines in the specialty. The study further suggests a transition from traditional learning methods to methods of consulting the formation of students' professional knowledge in their specialty based on simulation modeling. The tasks of the students are development of a model of disciplines and the formation of their individual models of professional knowledge in their field. In the course of the study, the basics of the theory of systems were used to build a methodological base for the development of innovative learning technologies and statistical methods to assess the possibility of creating models of professional knowledge. An innovative educational technology is obtained, which has a number of features. In particular, it involves the development of a model of professional knowledge, which consists of a multitude of studied disciplines, practical exercises, technical learning aids, assessments and self-assessments, relationships between elements of the model, and temporal relationships. The scheme of the organization of the educational process using a specially built digital knowledge platform is proposed. A comparison of the traditional learning pattern and the learning pattern based on the digital knowledge platform is shown. In addition, the possibility of creating models of professional knowledge is assessed, while calculating the consistency of expert assessments is carried out using the Kendall’s coefficient of concordance. This ensures the possibility of obtaining indicators of the relevance of the proposed innovative learning technologies in systems with dual processes. Expert evaluations have shown that the creation of professional knowledge models by students will allow to systematize their knowledge in systems with dual processes.


Keywords


innovative educational technology; systems with dual processes; digital knowledge platform; model of professional knowledge

References


Meteshkin, K. A. (2004). Kiberneticheskaya pedagogika: teoreticheskie osnovy upravleniya obrazovaniem na baze integrirovannogo intellekta. Kharkiv: Mezhdunarodnyy slavyanskiy universitet, 400.

Meteshkin, K. A., Morozova, O. I., Fedorchenko, L. A., Khayrova, N. F. (2012). Kiberneticheskaya pedagogika: ontologicheskiy inzhiniring v obuchenii i obrazovanii. Kharkiv: KHNAGKH, 207.

Konysheva, A. V., Ibragimova, E. N. (2017). Training of Engineers in Mathematics at University on the Basis of the Information Cybernetic Approach. Eurasia Journal of Mathematics, Science and Technology Education, 13 (8), 4379–4391. doi: http://doi.org/10.12973/eurasia.2017.00933a

Manako, A. F., Sinitsa, E. M. (2017). Informatsionnye tekhnologii v obrazovanii. Upravlyayushhie sistemy i mashiny, 2, 46–57.

Martin, B., Mitroic, A. (2002). Automatic problem generation in constraint-based tutors. Intelligent Tutoring Systems. Springer Berlin Heidelberg, 388–389. doi: http://doi.org/10.1007/3-540-47987-2_42

Savin-Baden, M. (2007). A practical guide to problem-based learning online. New York: Routledge, 151. doi: http://doi.org/10.4324/9780203938140

Christensen, C. M., Eyring, H. J. (2011). The innovative university: Changing the DNA of higher education from the inside out. San Francisco: Jossey-Bass, 512.

Greasley, A. (2017). Simulation modelling for business. Routledge, 230. doi: http://doi.org/10.4324/9781315243085

Macal, C. M. (2016). Everything you need to know about agent-based modelling and simulation. Journal of Simulation, 10 (2), 144–156. doi: http://doi.org/10.1057/jos.2016.7

Prigarina, T. A., Chebotarev, P. Yu.; Krymskiy, S. B. (Ed.) (1990). Ekspertnye otsenki v sotsiologicheskikh issledovaniyakh. Kyiv: Naukova Dumka, 190–225.


GOST Style Citations


Meteshkin K. A. Kiberneticheskaya pedagogika: teoreticheskie osnovy upravleniya obrazovaniem na baze integrirovannogo intellekta: monograph. Kharkiv: Mezhdunarodnyy slavyanskiy universitet, 2004. 400 p.

Kiberneticheskaya pedagogika: ontologicheskiy inzhiniring v obuchenii i obrazovanii: monograph / Meteshkin K. A., Morozova O. I., Fedorchenko L. A., Khayrova N. F. Kharkiv: KHNAGKH, 2012. 207 p.

Konysheva A. V., Ibragimova E. N. Training of Engineers in Mathematics at University on the Basis of the Information Cybernetic Approach // Eurasia Journal of Mathematics, Science and Technology Education. 2017. Vol. 13, Issue 8. P. 4379–4391. doi: http://doi.org/10.12973/eurasia.2017.00933a 

Manako A. F., Sinitsa E. M. Informatsionnye tekhnologii v obrazovanii // Upravlyayushhie sistemy i mashiny. 2017. Issue 2. P. 46–57.

Martin B., Mitroic A. Automatic problem generation in constraint-based tutors // Intelligent Tutoring Systems. Springer Berlin Heidelberg, 2002. P. 388–389. doi: http://doi.org/10.1007/3-540-47987-2_42 

Savin-Baden M. A practical guide to problem-based learning online. New York: Routledge, 2007. 151 p. doi: http://doi.org/10.4324/9780203938140 

Christensen C. M., Eyring H. J. The innovative university: Changing the DNA of higher education from the inside out. San Francisco: Jossey-Bass, 2011. 512 p.

Greasley A. Simulation modelling for business. Routledge, 2017. 230 p. doi: http://doi.org/10.4324/9781315243085 

Macal C. M. Everything you need to know about agent-based modelling and simulation // Journal of Simulation. 2016. Vol. 10, Issue 2. P. 144–156. doi: http://doi.org/10.1057/jos.2016.7 

Prigarina T. A., Chebotarev P. Yu. Ekspertnye otsenki v sotsiologicheskikh issledovaniyakh / ed. by Krymskiy S. B. Kyiv: Naukova Dumka, 1990. P. 190–225.







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ISSN (print) 2664-9969, ISSN (on-line) 2706-5448