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A Systematic Review of Computer Vision-Based Approaches in Educational Contexts
(Springer Science+Business Media, 2026-07-17)
Rustam Shadiev
;
Meruert Aidaraly
;
Akerke Yermukhanbet
;
Zharkyn Naraly
;
Aigul Lukhmanova
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A Novel Deep Neural Network to Analyze and Monitoring the Physical Training Relation to Sports Activities
(Science and Information Organization, 2023-01-01)
Bakһytzһan Omarov
;
N.K. Nurmash
;
Bauyrzhan Doskarayev
;
Nagashbek Zhilisbaev
;
Maxat Dairabayev
In the research paper, authors meticulously detail the development, testing, and application of an innovative deep learning model aimed at monitoring physical activities of students in real-time. Drawing upon the advanced capabilities of convolutional neural networks (CNNs), the proposed system exhibits an exceptional ability to track, analyze, and evaluate the physical exercises performed by students, thereby providing an unprecedented scope for customization in physical education strategies. This piece of scholarly work bridges the gap between physical education and cutting-edge technology, highlighting the burgeoning role of artificial intelligence in health and fitness sector. With an expansive study spanning various cohorts of physical culture students, the paper provides compelling empirical evidence that underlines the superiority of the deep learning system over conventional methods in aspects of accuracy, speed, and efficiency of monitoring. The authors demonstrate the transformative potential of their system, capable of facilitating personalized and optimized physical training strategies based on real-time feedback. Moreover, the potential implications of the study extend beyond the realm of education and into wider public health applications, with the possibility of fostering improved health outcomes on a larger scale. This research paper makes a significant contribution to the burgeoning field of AI in physical education, embodying a paradigm shift in the approach towards physical fitness and health monitoring. It underscores the potential of AI-driven technology to revolutionize traditional methods in physical education, paving the way for more personalized and effective teaching and training regimes, and ultimately contributing to enhanced health and fitness outcomes among students.
Цитирования (OpenAlex) 24Цитирования (OpenCitations) 16
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Improvement of physical education of students at the university: bibliometric analysis of the literature
(2025-01-01)
Nurzhan Temirbay
;
Kaldybaeva Aychurok
;
Nurlan Beknurmanov
;
Minarbekov Darkhan
;
Baikulova Aigerim Meirkhanovna
The study aims to conduct a bibliometric analysis of the literature on enhancing physical education for students in higher education. Metadata were extracted from 5,349 scientific articles indexed in the Web of Science database for the period 1975-2025. The study employs bibliometric procedures to describe and visually represent the existing literature of this field over the past 50 years. Results indicate that research in this area: (a) demonstrates sustained growth in recent decades, particula
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Physical education and student mental well-being in higher education: a socio-cultural review
(Frontiers Media, 2026-09-21)
Nurzhan Temirbay
;
Aychurok Kaldybaeva
;
Baikulova Aigerim Meirkhanovna
;
Zhambyl Beknazarov
;
Zhomart Pushkulov
This review examines the role of physical education as a pedagogically grounded means of supporting student mental well-being in higher education. In the context of increasing academic pressure, sedentary lifestyles, and the growing prevalence of mental health challenges among university students, physical education is reconsidered not merely as a fitness-oriented subject but as an integrative educational practice. The study synthesizes international research on pedagogical conditions, instructional approaches, and institutional strategies that connect physical activity with psychological resilience, motivation, emotional regulation, and social engagement. Particular attention is given to student-centered and inclusive models, the integration of digital technologies, interdisciplinary courses linking physical education with health and neuroscience, and mindfulness-based and stress-reduction practices. A comparative analysis of international best practices demonstrates that positive mental well-being outcomes are most evident when physical education is embedded within supportive university policies and holistic learning environments. The findings indicate that pedagogically informed physical education enhances not only students’ physical health but also their academic functioning, sense of belonging, and long-term engagement in healthy lifestyles. The review highlights the need for integrated higher education policies that position physical education as a strategic component of student mental well-being and sustainable university development.

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