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Evaluating the Effectiveness of Sustainable Development Goals Integration into the Future Geography Teachers' Education
(2025-11-29)
Nurzhanat Shakirova
;
Bakhadurkhan Sh. Abdimanapov
;
Aizhan Bazilova
;
Karlygash Muzdybayeva
;
Sagyngali Kalkashev
This study evaluated the effectiveness of implementing training materials and SDG activities for future geography teachers. The experimental discipline "Climate Change and its Consequences" was developed and implemented. The sample of participants in this study consisted of 121 3rd and 4th-year students with experience in teaching practice. The renting method checks the methodology's effectiveness according to the "Knowledge in the Field of Sustainable Development Goals" questionnaire before and after introducing the discipline. During one semester, the participants completed the course, and they were also provided with SDG-oriented webinars on the topic "Geographical Analysis of the Sustainable Development Goals" and events (Brain-ring and Olympiad). When studying the literacy rate according to the SDGs, 121 respondents showed an average increase in results by an average of 13.6% with a p-value of 0.049 (p<0.05). The results obtained indicate the effectiveness of this practice. This represents essential information for education and sustainable development.
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A systematic review of the effectiveness of teaching geoecological issues to geography students using digital technologies
(Frontiers Media, 2026-09-09)
Ainur Murzinova
;
Sagyngali Kalkashev
;
Damezhan Sadykova
;
Nurbol Ussenov
;
Assan ZHELDIBAYEV
The introduction of innovative pedagogical approaches to teaching geoenvironmental issues is considered one of the key directions of contemporary educational practice. Although digital technologies and active learning strategies are widely used, their effectiveness in the context of teaching geography students has not been systematically studied. This systematic review was conducted in accordance with the PRISMA 2020 guidelines: 64 relevant articles were selected, and from these, the most fully documented studies were taken for in-depth analysis. The novelty of the study lies in its comprehensive consideration of pedagogical approaches to digital technologies in geoenvironmental education, linking them to the requirements for the training of geography students. The results show that geospatial tools and immersive technologies are widely used, but that the outcomes are often limited to short-term affective indicators, indicates a lack of rigorous designs that isolate the technology's independent contribution, and that teacher preparation and institutional support remain a persistent barrier. The study proposes a conceptual model that integrates digital technologies, experiential learning, and interdisciplinary integration, and includes concrete recommendations for teachers and policymakers.
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8-сыныпта зар заман поэзиясын оқытуда генеративті ЖИ қолдану: пилоттық эксперимент
(Suleyman Demirel University, 2026-09-30)
Zhanat Ametkhan
;
L.А. Amankulova
The article examines the possibilities and risks of using generative artificial intelligence (ChatGPT GPT-4o) in teaching one of the most complex sections of the Kazakh literature school curriculum – "Zar Zaman" poetry (Shortanbai Kanaiuly, Dulat Babataiuly, Murat Monkeuly) to 8th-grade students. The aim of the study is to empirically evaluate the didactic effectiveness and potential threats of using AI in national literature lessons. A pilot study with a quasi-experimental design was conducted in a secondary school in Almaty over 6 weeks (12 lessons). In the experimental group (n=27), traditional teaching was supplemented with ChatGPT elements, while the control group (n=25) was taught using only the traditional methodology. The students' learning quality was assessed using an author-designed 10-point rubric covering 6 criteria. Statistical analysis was performed using the Mann-Whitney U test. Results revealed a statistically significant improvement in the experimental group for the skills of "understanding the historical context" (+39%) and "comparative analysis" (+48%) (p 0.05), which is consistent with the issue of "academic dependency" discussed in international science. Furthermore, the study identified cases of AI hallucinations (confabulation) due to a lack of understanding of national-historical and cultural codes. In conclusion, generative AI can be an effective supplementary tool, but it requires strict teacher moderation and mandatory fact-checking by students. To reduce AI dependency, the article proposes specific prompt templates and the "own opinion first – then AI" strategy.

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