METHODOLOGY OF DIGITAL CONTENT CREATION

The subject of the study is the individualization of the learning process in the process of assimilating information with different levels of subjective complexity. The purpose of the study is to develop a methodology for creating digital content to manage student behavior by changing the objective complexity of the learning material. The subject of the study is to develop and theoretically substantiate methods of individualized approach of students to learning professional competences by creating individual trajectories of knowledge acquisition and assimilation. Used methods: methods of analytical modelling and artificial intelligence. The following results were obtained. It is proposed to determine the complexity of the content by the number of concepts used in a piece of information and the variety of relationships between them, and to present its model in the form of an analytical graph, the vertices of which are concepts and edges that reflect the variety of relationships between them. A method of organizing the learning process using a computer-based learning system, the functioning of which implements a personality-oriented model of a student, has been formed. Conclusion. Preliminary structuring of didactic material in the form of a graph, with the vertices being the relevant content sections, and transition management implemented by the learning control system, allows for improved individualization of learning. Moreover, due to adaptation, each student begins to work with the same intellectual load.

Authors

Institutions

Publication Details

Journal
Advanced Information Systems
Published
2024-11-05
DOI
https://doi.org/10.20998/2522-9052.2024.4.05
Citations
1
Primary Topic
Scientific Research and Philosophical Inquiry
Type
article
Field-Weighted Citation Impact
0.78

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

METHODOLOGY OF DIGITAL CONTENT CREATION

Vitalii Voronets, Oleksandr Serkov, Oleg Kasilov, Karyna Trubchaninova et al.
1 citations
Advanced Information Systems
Scientific Research and Philosophical Inquiry
0.78
article

METHODOLOGY OF DIGITAL CONTENT CREATION

Vitalii Voronets, Oleksandr Serkov, Oleg Kasilov, Karyna Trubchaninova, Gennadiy Churyumov
article en
1 citations

Abstract

The subject of the study is the individualization of the learning process in the process of assimilating information with different levels of subjective complexity. The purpose of the study is to develop a methodology for creating digital content to manage student behavior by changing the objective complexity of the learning material. The subject of the study is to develop and theoretically substantiate methods of individualized approach of students to learning professional competences by creating individual trajectories of knowledge acquisition and assimilation. Used methods: methods of analytical modelling and artificial intelligence. The following results were obtained. It is proposed to determine the complexity of the content by the number of concepts used in a piece of information and the variety of relationships between them, and to present its model in the form of an analytical graph, the vertices of which are concepts and edges that reflect the variety of relationships between them. A method of organizing the learning process using a computer-based learning system, the functioning of which implements a personality-oriented model of a student, has been formed. Conclusion. Preliminary structuring of didactic material in the form of a graph, with the vertices being the relevant content sections, and transition management implemented by the learning control system, allows for improved individualization of learning. Moreover, due to adaptation, each student begins to work with the same intellectual load.

Advanced Information SystemsVol. 8(4)
Harbin Institute of Technology (CN), Ukrainian State University of Railway Transport (UA), National Technical University "Kharkiv Polytechnic Institute" (UA)
European Commission, Erasmus+
Quality Education
Openalex Percentile: Top 20%
Scientific Research and Philosophical Inquiry
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.