International Journal of Innovative Research and Scientific Studies

ISSN

2617-6548

2790-7600

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Implementing CEFR into Kazakh language education: Teachers’ perspectives and classroom practices
(2025-08-15)
Zhanat Dauletbekova
;
Aitzhamal Rauandina
;
Gulzat Berkinbayeva
;
A.S. Nabidullin
;
Raigul Rakhmetova
The study aims to evaluate the implementation of CEFR-aligned teaching materials in Kazakh language education, focusing on Kazakhstan's unique educational context. The research seeks to understand teachers' perspectives and assess the effectiveness of these materials, contributing to the ongoing language education reforms in the country. This study addresses the need for insights into how CEFR-aligned materials are integrated and their impact on teaching and learning outcomes. A mixed-methods research design was employed, incorporating both quantitative and qualitative approaches. The study surveyed 65 Kazakh language teachers from various public and private schools. Quantitative data were gathered to measure the effectiveness of CEFR implementation, while qualitative data offered more profound insights into teachers' experiences, highlighting challenges and successes encountered in the process. The findings show that while CEFR-aligned teaching materials have significantly improved Kazakh language education, areas that require further enhancement. Teachers reported positive outcomes and notable challenges in adapting the materials to Kazakhstan's multilingual and cultural context. The study concludes that while integrating CEFR-aligned materials has succeeded in many aspects, targeted improvements are necessary to fully realize their potential. The insights from this research provide valuable recommendations for future developments and offer a guide for other non-European countries looking to implement CEFR-aligned educational resources.
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Improving university students’ engagement in physical education through differentiated instruction and motivational strategies
(2025-06-02)
Nurzhan Temirbay
;
Aychurok Kaldybaeva
;
Baikulova Aigerim Meirkhanovna
;
Nurlan Beknurmanov
;
Zhambyl Beknazarov
This study aims to enhance university students’ engagement in physical education (PE) by applying a set of differentiated instructional strategies and motivational interventions. Declining levels of student participation in PE present a significant challenge in higher education institutions, necessitating pedagogically sound solutions. A quasi-experimental study was conducted at M.Kh. Dulaty Taraz University with 473 undergraduate students from four faculties. The intervention comprised individualized grouping based on fitness levels, theoretical modules on health literacy, flexible class formats (including outdoor activities), and motivational events such as sports competitions. Engagement was measured using pre- and post-intervention questionnaires and statistically analyzed via t-tests and ANOVA. The intervention yielded statistically significant increases (p < 0.001) in student engagement across all measured dimensions, including participation frequency, intrinsic motivation, and satisfaction with PE. Differentiated, student-centered instructional models combined with motivational support significantly improve engagement in university PE settings. The study provides a scalable framework for educators and administrators to improve PE program effectiveness, support student well-being, and foster lifelong healthy behaviors through targeted pedagogical innovations.
Цитирования (OpenAlex) 3Цитирования (OpenCitations) 1
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Researching and determination of the strain sensitivity of the fabricated Bragg gratings
(2025-02-18)
Aliya Kalizhanova
;
Айнур Козбакова
;
Murat Kunelbayev
;
Zhalau Aitkulov
;
Ulghan Imanbekova
This article presents a systematic study of the stretching characteristics of polymer fiber Bragg gratings. Experimental data demonstrate that applying mechanical stretching to polymer fiber Bragg gratings enables a wide tuning range of the Bragg wavelength (over 50 nm) with high reproducibility, reversibility, and repeatability. It was also established that the strain sensitivity of polymer fiber Bragg gratings is 1.46 pm/με, which significantly exceeds the strain sensitivity of silica fiber Bragg gratings. Additionally, it is shown that the relationship between strain and the Bragg wavelength shift exhibits high linearity (correlation coefficient R² = 0.9995), ensuring the reliability of the gratings under mechanical loads. The study confirms the potential of polymer fiber Bragg gratings for use in WDM optical communication systems, fiber optic strain sensors, and medical sensors.
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Machine learning-based predictive maintenance system for urban heating networks for real-time failure detection and analysis
(2025-09-19)
Dauren Darkenbayev
;
Uzak K. Zhapbasbayev
;
Gulnar Tultayevna Balakayeva
This study presents a comprehensive framework for predictive maintenance of urban heat supply networks utilizing advanced machine learning algorithms. The primary objective is to enable early detection of potential system failures, thereby improving operational reliability and minimizing unplanned downtimes. A synthetically generated dataset of 10,000 records was employed, simulating real – world operational parameters such as temperature, pressure, flow rate, and vibration, sampled at 5–minute intervals to replicate actual monitoring conditions. Data preprocessing involved outlier removal using the interquartile range (IQR) method, normalization through Min-Max scaling, and imputation of missing values, ensuring data quality and consistency. Feature importance was further analyzed using SHAP values to enhance interpretability and identify critical predictors influencing system behavior. Five machine learning models – Logistic Regression, Support Vector Machine (SVM), Random Forest, Artificial Neural Networks (ANN), and Gradient Boosting (LightGBM) – were implemented and evaluated using 10 – fold cross – validation. The Gradient Boosting model demonstrated superior performance, achieving an accuracy of 99.9%, F1-score of 0.999, ROC-AUC of 1.0, and LogLoss of 0.004. Logistic Regression and Random Forest also performed well (AUC = 1.0, F1 = 0.999), whereas SVM and ANN exhibited limited predictive capabilities (AUC ≈ 0.50, F1 = 0.038 and 0.632, respectively). These results underscore the robustness of Gradient Boosting in modeling complex nonlinear relationships and its applicability for real-time anomaly detection in heating systems. The proposed framework holds significant practical potential for integration into existing monitoring infrastructures, facilitating proactive maintenance planning, optimizing resource allocation, and reducing operational costs. Future research will focus on validating the approach with real – world datasets and exploring hybrid machine learning architectures to enhance model generalizability and resilience.
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Formation of students' research interest through action learning
(2025-04-25)
Kamila Adilzhan
;
Nuripa Kyrgyzbaikyzy Bekalay
;
Makpal Khamitova
;
Gulmira Tashkeyeva
;
Kobenkulova Zhanar
This study explores the idea of Action Learning as a teaching method based on doing. Where there is action, there is interest. This approach to the development of individuals does not focus on what people need to learn, but on solutions to real problems. Thus, "Action Learning" means learning from action or concrete experience, as well as taking action as a result of this learning. The study began by exploring university students' and teachers' perceptions of student interest in science in order to design an instructional strategy for stimulating student interest in learning and pursuing science. The study is experimental in nature and shows cross-sectional results in control and experimental groups of action learning, which allows us to prove the effectiveness of the theoretical assumptions made in the literature review. Data for this study included responses from 114 students to an online science survey and interviews with eight science teachers. Therefore, in the given work, effective methods were used and compared with a traditional method, that is, students were divided into several groups. Studies were conducted using traditional methods for control groups and effective action learning methods for experimental groups; consequently, the comparative results of control and experimental groups showed significant indicators.
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Experimental studies of sensors based on fiber Bragg gratings embedded in the internal structure of composite plates
(2024-10-04)
Aliya Kalizhanova
;
Айнур Козбакова
;
Murat Kunelbayev
;
Beibut Amirgaliyev
;
Zhalau Aitkulov
The main purpose of this article is to study the structural characteristics of carbon fiber samples printed on a 3D printer, including embedded sensors, during 3D printing, through numerical and experimental studies. There is a widespread tendency to replace metals with modern composite materials. Various methods can be used to measure the destruction of the composite structure. Fiber Bragg array sensors are known as intelligent localized and global structural condition prediction devices for all kinds of structural applications, especially those using composite materials. In this work, we created control plates by impregnating a selected number of layers of carbon fabric with epoxy resin. Fiber-optic Bragg sensors were additionally located between the layers of carbon fabric. In the course of experimental studies, a fiber Bragg grating sensor was embedded in the middle of the sample, and a second sensor was attached to the finished surface of the sample. We conducted environmental tests to examine the durability of the additively manufactured standard’s components and the impact of integrated sensors on the composite sample. We applied the concept of equations, known as conjugate modes, and used the transition matrix method to solve them numerically. The scientific novelty of the work is the development of a new method and technology for measuring spatial deformation in composite materials using fiber-optic Bragg gratings.
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Shaping digital communication culture in prospective teachers: The role of digital etiquette training in Kazakhstan
(2025-02-24)
Ulzharkyn M. Abdigapbarova
;
Aigul Syzdykbayeva
;
Elmira A. Aitenova
;
Sabira Nishanbayeva
;
Saniya Nurgaliyeva
This study examines the impact of digital etiquette training on the development of a digital communication culture among future teachers by providing new perspectives and access to scientific knowledge in the field of digital etiquette. A mixed-methods approach was used both before and after the test. The study included 115 respondents. The preliminary testing between the groups showed that both groups were at the same level in terms of communicative culture indicators. Additionally, participants had no prior knowledge of digital etiquette. An authors' program was created specifically for the course and implemented to help students become more skilled with technology. A set of measures was carried out to develop a digital communicative culture through the means of netiquette and the introduction of technology for individualization and personalization of learning. This study found the impact of digital etiquette on the development of a digital communication culture in future teachers by providing new perspectives and access to scientific knowledge in the field of digital etiquette, as well as the practical application of this knowledge to support cultural digital interaction.
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Development of an adaptive two-phalanx grip model for robotic manipulators
(2024-03-07)
Karassaeyv Bairon
;
Makhanbetova Sandugash
;
Murat Kunelbayev
;
Yerbol Temirbekov
;
Maxat Akhmetzhanov
The purpose of this work is to study the problem of uniform grip at the points of contact of a round or spherical object (fruits and vegetables) with the grip. The research methodology uses pressure sensors mounted on the “fingers” of the handle. At a certain force value in the contact zone, the “fingers” of the handle stop. The grip must create equal forces at the points of contact of all “fingers” for an even grip. To explore these issues, phalangeal graspers adapting to the fetal surface are analyzed here. The flat model shows the general patterns of the relationship between the forces of the “fingers” of the grip and the round object to be grasped. The flat model shows the general patterns of the relationship between the forces of the “fingers” of the grip and the round object to be grasped. We examined the 3D model of this gripper and calculated the parameters of the 3D model. Conclusions and practical consequences are the values of stresses and elastic displacements at the points of the contact lines of the teeth of the 3D models of the gripper and the object being grabbed. The distribution of forces on a flat diagram and the values of von Mises stresses in the 3D model demonstrate a certain similarity in the uniformity of distribution of these parameters. Color scales with the values of the corresponding parameters are also presented; the calculation was carried out using the finite element modeling method in inventor.
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An educational mobile application for children with hearing impairment
(2025-09-19)
G.I. Salgarayeva
;
Aigul Makhanova
;
Fariza Lakhanova
The purpose of this study is to assess the effectiveness of an educational mobile application in improving algorithmic thinking and academic performance among children with hearing impairments. The research was conducted in two stages: (1) the development of the application using an inclusive design approach with game-based learning elements, and (2) an experimental implementation in the educational process. The participants were 15 sixth-grade students from a specialized school for children with hearing impairments, divided into an experimental group (n = 7) and a control group (n = 8). The experimental group used the mobile application as a supplementary tool for programming lessons, while the control group was taught using traditional methods. Pre-test and post-test assessments were conducted to evaluate changes in algorithmic thinking and academic outcomes. The results demonstrated that students in the experimental group showed significant improvement in algorithmic thinking and academic performance compared with those in the control group. The use of the mobile application increased student engagement and facilitated more effective learning. The study concludes that the developed mobile application is an effective educational tool for enhancing algorithmic thinking and improving academic outcomes among students with hearing impairments. This research highlights the potential of accessible digital technologies in supporting inclusive education. The findings can guide educators, developers, and policymakers in integrating inclusive digital resources into curricula to promote equal learning opportunities for students with special educational needs.
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Pedagogical methods of formation of ecological and critical skills of future teachers of natural sciences using digital technologies
(2025-06-23)
Ozerke Amangeldi
;
Kuralay Kenesbayeva
;
Gulnar Maishinova
;
Assel Bayatanova
;
Б.К. Асылбекова
The article discusses pedagogical methods for developing ecological and critical skills in future teachers of natural science disciplines, exploring ways to foster the development of these skills in future educators. Particular attention is given to approaches that promote the integration of ecological knowledge and critical thinking in the educational process using digital technologies and GIS. The study involved 76 studensts from two universities and 155 secondary school students. The pedagogical experiment was conducted in four stages: theoretical, practical, analytical, and final. Particular focus was given to using GIS technologies to develop students' spatial analysis skills and encourage research activity. The results showed that 85% of biology students and 79% of geography students achieved the learning objectives at the levels “excellent” and “good,” respectively. The effectiveness of the proposed methodology is confirmed by these results, and it can be recommended for use in training future teachers.
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