Organization of Feedback in the Intelligent Learning Systems

This article examines the organisation of feedback in intelligent learning systems with a view to offering practical approaches to improving the educational process. Feedback is a crucial element in education, and in recent years its importance has increased significantly in light of the development of information technology and learning platforms. The paper presents an overview of the various methods and technologies employed to organise feedback in intelligent learning systems. Particular emphasis is placed on machine learning algorithms, adaptive learning systems and interactive communication tools that facilitate the creation of personalised educational environments for students. Based on the analysis of various educational practices and research, recommendations were formulated to optimize the feedback process in order to improve the quality of education and motivation of students.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/is61756.2024.10705178
Citations
9
Primary Topic
Educational Innovations and Challenges
Type
article
Field-Weighted Citation Impact
7.01

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article

Organization of Feedback in the Intelligent Learning Systems

Rustam Shadiev, Karlygash Adamova, Vladimir Jotsov, Nurassyl Kerimbayev et al.
9 citations
Educational Innovations and Challenges
7.01
article

Organization of Feedback in the Intelligent Learning Systems

Rustam Shadiev, Karlygash Adamova, Vladimir Jotsov, Nurassyl Kerimbayev, Zhanat Umirzakova, Ainar Nurymova
article en
9 citations

Abstract

This article examines the organisation of feedback in intelligent learning systems with a view to offering practical approaches to improving the educational process. Feedback is a crucial element in education, and in recent years its importance has increased significantly in light of the development of information technology and learning platforms. The paper presents an overview of the various methods and technologies employed to organise feedback in intelligent learning systems. Particular emphasis is placed on machine learning algorithms, adaptive learning systems and interactive communication tools that facilitate the creation of personalised educational environments for students. Based on the analysis of various educational practices and research, recommendations were formulated to optimize the feedback process in order to improve the quality of education and motivation of students.

Al-Farabi Kazakh National University (KZ), Astana Medical University (KZ), Zhejiang University (CN)
Ministry of Education and Science of the Republic of Kazakhstan
Openalex Percentile: Top 3%
Educational Innovations and Challenges
7.01
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