Жарияланымдар / Публикации

Постоянный URI для этого сообществаhttps://cris.qyzpu.kz/handle/123456789/2

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2023 - 20262

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Тема: search.filters.subject.curriculum modernization

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    Тип записи:Публикация,
    FEATURES OF TEACHING SCHOOL GEOGRAPHY IN KAZAKHSTAN (from 2000 to 2022)
    (Toraighyrov University, 2023-03-29)
    A. Sh. Kiyassova
    ;
    К. Мaмировa
    ;
    Л. Ш. Киясова
    The article compares the characteristics of changes in the teaching of school geography courses in the Republic of Kazakhstan, the similarities and differences between traditional programs and modernized programs, focusing on changes in the state of modernization in all spheres of society's life today. The direction of the chronological development process of the textbooks of the school geography courses that have switched to the updated system and changed in the new format, is provided. A comparative analysis was made between the components of the content of school geography textbooks of the new model and the features of the geography courses of the world countries. The content and structure of modern geographical education has expanded from the perspective of individual-oriented training and features of geography classes, and looking at the world from an emotional-value attitude, we can clearly see that school geography and academic geography are completely and uninterruptedly connected in the teaching of geography. In this regard, the article shows the essential importance of school geography courses in the formation of new directions and new views among students.
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    Scientific and methodological foundations for integrating remote sensing (RS) data into school geography
    (Frontiers Media, 2026-03-13)
    Shakhislam Uzakbaevich Laiskhanov
    ;
    Zhanbolat Nurmagambetuly
    ;
    Kulyash Duisenbaevna KAIMULDINOVA
    ;
    Duman Toktaruli ALIASKAROV
    ;
    Erzhan Abikbaev
    In the era of digital transformation, the application of remote sensing (RS) data in geography education and its effective integration into the teaching and learning process has become one of the pressing educational challenges, particularly in fostering students’ spatial thinking competencies. The purpose of the study is to identify the possibilities of incorporating RS data into school geography, to develop an effective teaching methodology based on its application, and to test it in practice. The research employed a review of international publications, surveys, correlation and comparative statistical analysis, modeling, analysis of regulatory documents, and pedagogical experimentation. The survey involved 124 geography teachers from different regions of Kazakhstan, while the experimental study included 52 eleventh-grade students from one secondary school selected through random sampling (26 students in the experimental group and 26 students in the control group). The survey results revealed that 62% of teachers use satellite imagery during lessons; however, 69% of them utilize RS data primarily for visualization purposes. The results of the pedagogical experiment demonstrated that the average academic achievement of students in the experimental group increased by 18.2%, whereas the improvement in the control group was 3.6%. Furthermore, the use of RS data positively influenced students’ geospatial thinking, research skills, and analytical abilities. The study further established that the structural-content model of RS-based teaching materials developed as a result of the research can contribute to improving existing methodologies. The proposed model is designed to modernize school geography curricula, enhance teachers’ methodological capacity, improve students’ learning outcomes, and promote geospatial literacy. The findings of the study demonstrate that the systematic integration of RS data into school geography education can serve as a scientific and methodological foundation for modernizing educational content, fostering students’ contemporary scientific and technological competencies, and improving the overall quality of geographic education.
    Цитирования (OpenAlex) 1