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Personalization of learning in programming on the example of the application of internet services

https://doi.org/10.32517/0234-0453-2022-37-6-62-68

Abstract

The article deals with the concept of personalization of learning, actualizes the need to develop a model of the personalized learning in the field of vocational education in the context of the implementation of the National Program “Digital Economy”. Existing learning models created on the basis of a personalized approach are analyzed. A comparative analysis of the personalized, differentiated, individualized and adaptive learning is given. A model of personalization of learning in the study of programming through Internet services has been developed. The practical significance of the study lies in the possibility of introducing a model of personalization of learning when organizing programming classes in professional educational institutions.

The results of the study show that a personalized learning model provides the student with the right to choose, the route of movement within the subject, the opportunity to go ahead and properly manage the time won, or, conversely, return, and catch up with classmates. This approach allows the learner to “drive” the learning car rather than sit in the passenger seat. This is the main motivating factor. The conclusions formulated in the article are of practical value for heads of educational organizations, developers of educational materials, methodologists of educational institutions to build an educational process using a personalized approach to a relatively new trend in developing vocational education systems.

About the Author

F. E. Sadykova
Moscow University for Industry and Finance “Synergy”
Russian Federation

 Firaya E. Sadykova, Senior Lecturer at the Department
of Mathematics

Moscow



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For citations:


Sadykova F.E. Personalization of learning in programming on the example of the application of internet services. Informatics and education. 2022;37(6):62-68. (In Russ.) https://doi.org/10.32517/0234-0453-2022-37-6-62-68

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)