ADAPTIVE EDUCATIONAL ECOSYSTEMS USING ARTIFICIAL INTELLIGENCE FOR FORMING STUDENTS’ EDUCATIONAL TRAJECTORIES

The modern era of digitalization in education presents a particularly important task – developing effective methods for individualized learning. This approach should consider the personal needs of the student, their achievements, motivations, and adapt the learning process accordingly. Adaptive educational technologies allow for determining the state of the learning process, analyzing the student’s thought process, identifying challenging topics, and adapting the content for a deeper understanding of the subject matter.In our view, the use of artificial intelligence is one of the most effective methods for developing adaptive learning systems. This article examines the use of customized artificial intelligence (AI) modules to create personalized learning trajectories. It is emphasized that the application of artificial intelligence in adaptive learning systems promotes the individualization of the learning approach for each student, making the learning process as effective as possible. Additionally, it is highlighted that the implementation of artificial intelligence should aim to preserve and enhance all the strengths of the teacher.

Authors

Publication Details

Journal
Humanitas Zarządzanie.
Published
2024-09-30
DOI
https://doi.org/10.5604/01.3001.0054.7772
Citations
3
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
2.34
Controls
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article

ADAPTIVE EDUCATIONAL ECOSYSTEMS USING ARTIFICIAL INTELLIGENCE FOR FORMING STUDENTS’ EDUCATIONAL TRAJECTORIES

Kateryna Tanashchuk, Serhii Bazyka, Oleksandr Derkach, Bohdana Yamnyuk
3 citations
Humanitas Zarządzanie.
Engineering Education and Technology
2.34
article

ADAPTIVE EDUCATIONAL ECOSYSTEMS USING ARTIFICIAL INTELLIGENCE FOR FORMING STUDENTS’ EDUCATIONAL TRAJECTORIES

Kateryna Tanashchuk, Serhii Bazyka, Oleksandr Derkach, Bohdana Yamnyuk
article en
3 citations

Abstract

The modern era of digitalization in education presents a particularly important task – developing effective methods for individualized learning. This approach should consider the personal needs of the student, their achievements, motivations, and adapt the learning process accordingly. Adaptive educational technologies allow for determining the state of the learning process, analyzing the student’s thought process, identifying challenging topics, and adapting the content for a deeper understanding of the subject matter.In our view, the use of artificial intelligence is one of the most effective methods for developing adaptive learning systems. This article examines the use of customized artificial intelligence (AI) modules to create personalized learning trajectories. It is emphasized that the application of artificial intelligence in adaptive learning systems promotes the individualization of the learning approach for each student, making the learning process as effective as possible. Additionally, it is highlighted that the implementation of artificial intelligence should aim to preserve and enhance all the strengths of the teacher.

Humanitas Zarządzanie.Vol. 25(3)
Quality Education
Openalex Percentile: Top 9%
Engineering Education and Technology
2.34
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