EXPERIMENTAL VERIFICATION OF THE EFFECTIVENESS OF TEACHING METHODS USING ADAPTIVE MATHEMATICS TEACHING
Journal Title: Scientific Journal of Astana IT University - Year 2022, Vol 10, Issue 10
Abstract
The article presents theoretical and empirical results of the study of the advantages of adaptive learning. The practice of creating and organizing adaptive learning for students using the «Moodle» platform is considered, and the results of the application of the adaptive learning model in the preparation of first and second-year students in secondary vocational education are presented. The article presents the results of the input, intermediate, and control measures that the control and experimental groups took. The results are presented both in tabular form, indicating the individual achievements of students in points, and in the form of bar charts. Based on the data obtained, it is possible to quantify the progress in the study of the discipline of mathematics and to compare the individual achievements of students. Thanks to a detailed assessment of various aspects of the results of experimental tasks, it is possible to identify with high accuracy the strengths and weaknesses in the preparation of each of the students, to give individual recommendations for further training. The verification of the validity of the coincidences and differences in the characteristics of the control and experimental groups was carried out by using the Kramer–Welch statistical criterion, which demonstrated, on the one hand, the equality of the training levels of the control and experimental groups at the beginning of the pedagogical experiment under consideration, and on the other hand, the significance of the difference in the level of training at the end of the training process through the application of the proposed methodology.
Authors and Affiliations
R. Zhilmagambetova, A. Mubarakov, A. Alimagambetova
Keywords
Related Articles
- EP ID EP712451
- DOI 10.37943/HOJH1901
- Views 111
- Downloads 0
APPLICATION INFORMATION MODELING AND MACHINE LEARNING ALGORITHM FOR CLASSIFICATION OF WASTE USING SUPPORT VECTOR MACHINE
The ecological state of the world is deteriorating for the worse every year. One of the main problems is inadequate waste disposal and inadequate sorting by waste type, which has led to inadequate treatment of bulk was...
Intelligent dam breach threat monitoring system
The article is devoted to the development of a river flow modeling technique. The paper considers possible approaches to modeling the flow of fluids, as well as an analysis of existing solution methods and the formulat...
DEVELOPMENT OF DAG BLOCKCHAIN MODEL
In this study the authors present an innovative approach to resolving scalability and efficiency challenges in blockchain technology through the integration of Directed Acyclic Graphs (DAGs). This approach helps to overc...
ISSUES OF ICT INTEGRATION IN RURAL SECONDARY SCHOOLS OF KAZAKHSTAN
The problem with attaining education equality for various categories of the population has been one of the priority topics of social and political studies. Kazakhstan has recently stated the aim to ensure equal access fo...
ANALYSIS OF METHODS FOR DETECTING FACES IN AN IMAGE
In this article, computer vision is considered as modern technology of automatic processing of graphic images, and the relationship between the terms “computer vision” and “machine vision” is investigated. A diagram of...