Frontiers in Education

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2504-284X

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Frontiers Media

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Teacher Education and...

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Developing interdisciplinary and meta-subject competencies in school geography: a systematic review of digital and mobile learning approaches
(Frontiers Media, 2026-09-30)
A. M. Sarsebayeva
;
N. (Nurbol) Usenov
;
Bakhadurkhan Sh. Abdimanapov
;
Mukhamedrakhim Kursabayev
;
Kulash Mamirova
The integration of digital and mobile learning approaches into school geography has become an important direction of pedagogical innovation in recent years, however, how these approaches systematically develop interdisciplinary and meta-subject competencies remains insufficiently theorized and empirically developed. Although individual studies have demonstrated the pedagogical potential of geospatial technologies, mobile augmented reality, immersive virtual environments, and artificial intelligence-based platforms, no previous review has conducted a comprehensive, systematic analysis of this body of evidence, linking it to the cross-curricular and meta-subject competency frameworks that are central to the reform agenda for national and international curricula. The proposed study fills this gap through a systematic review conducted according to PRISMA 2020 requirements: Ninety-one peer-reviewed studies published between 2020 and 2025 were included, selected from the Scopus database, and the level of agreement among the experts was confirmed with a κ = 0.79. The results of the analysis showed that GIS-based research, mobile augmented reality, and AI-supported learning tools make a measurable contribution to competencies such as spatial thinking, metacognitive regulation, systemic reasoning, and critical argumentation. These competencies are central both in international geography curricula and in post-Soviet interdisciplinary concepts. However, a persistent “policy–competency gap” was identified: curricular ambitions for high-level interdisciplinary teaching are often undermined by structural constraints, an insufficient pedagogical scaffolding, and the lack of validated assessment tools. Theoretical frameworks for digital competence development, such as Falloon's Teacher Digital Competency model and Chiu and colleagues’ needs-supporting institutional model, are not sufficiently applied in the context of geography. Based on this synthesis, a conceptual model is proposed that systematizes the conditions for the targeted integration of digital and mobile learning approaches in school geography with the aim of developing interdisciplinary and transdisciplinary competencies, along with priority directions for future empirical research and curriculum design.
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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.
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Correction: Scientific and methodological foundations for integrating remote sensing data into school geography
(Frontiers Media, 2026-04-17)
Шахислам Лайсханов
;
Zhanbolat Nurmagambetuly
;
Kulyash Duisenbaevna KAIMULDINOVA
;
Duman Toktaruli ALIASKAROV
;
Erzhan Abikbaev
A correction refers to a change to their article that the author wishes to publish after publication. The publication of this article is subject to Frontiers' editorial approval.Instructions:• Please read through all the templates before choosing • Pick the most relevant text template(s) from the following page and delete all others.• Edit the text as necessary, ensuring that the original incorrect text is included for the record, please see the below. • Please do not use any extra formatting when editing the templates, and only modify the red text unless absolutely necessary • Submit to Frontiers following the instructions on this page.When the original text contained incorrect information, to preserve the scientific record, please include that text when editing the below templates. For example:There was a mistake in the Funding statement, an incorrect number was used.The correct number is "2015C03Bd051.". The publisher apologizes for this mistake.The original version of this article has been updated. Correction: Scientific and methodological foundations for integrating remote sensing (RS) data into school geographyCorrection on: Laiskhanov S, Nurmagambetuly Z, Kaimuldinova K, Aliaskarov D, Abikbaev E and Bopiyeva A ( 2026) Scientific and methodological foundations for integrating remote sensing (RS) data into school geography. Front. Educ. 11:1768464. doi: 10.3389/feduc.2026.1768464 In the published article, there was a mistake in the Funding statement. The funding information was incorrectly displayed.The correct Funding statement is:The authors declare that financial support was received for the research and/or publication of this article. This study was funded by the Ministry of Science and Higher Education of the Republic of Kazakhstan under grant project IRN AP23487595, entitled "Preparation of methodological developments aimed at developing skills in the use of remote sensing (RS) materials in school geography." The article processing charge (APC) was also funded by this grant.The original version of this article has been updated.End of template. If you would like to request a correction for a reason not seen here, please contact the journal's editorial office.

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