08. Scientific Journals

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Open Access
A BOUNDARY VALUE PROBLEM FOR THE GENERALIZED HEAT EQUATION IN THE DOMAIN WITH MOVING BOUNDARY
(СДУ хабаршысы - 2017, 2017) S.A. Kassabek; A.M. Orynbassar
Abstract. Method to solve the problem for heat equation for solid with variable cross-section with moving boundary is based on use degenerate hypergeometric function. Solution of problem is a linear combination degenerate hypergeometric function. The main idea of this method is to find coefficients and prove the convergence of series.Consider the surface generated by revolution of a curve r  y(z,t) about z - axes. Let us assume that the radial component of the temperature gradient in the solid bounded by above surface is negligible in comparison with the axial component, i.e. the solid can be considered as a bar with a variable cross – section that has only axial component of heat flux.
Open Access
A PROFESSION RECOMMENDER SYSTEM BASED ON DEEP LEARNING AND MACHINE LEARNING APPROACHES
(СДУ хабаршысы - 2023, 2023) Iskalinov F.
Abstract. The issue of uncertain career path choice among modern schoolchildren has become increasingly prominent, resulting in a substantial decrease in the number of university students. This uncertainty has become a major concern as students and their parents are often unfamiliar with the wide range of available professions, particularly those that have emerged in the last decade. A modern solution is proposed in the form of a web application that uses Deep Learning, Machine Learning, and NLP to recommend suitable specialties based on the competencies required for the profession. The system will analyze and extract implicit features through a supervised classification approach, providing a comprehensive solution for profession search in the Kazakhstan market.
Open Access
A Survey on Multimodal Approaches for Lung Disease Diagnosis using Deep Learning
(SDU University, 2025) Zhaniya Medeuova
Lung disorders are a major global health issue. A quick and accurate diagnosis is essential for proper treatment. In order to increase diagnostic accuracy, recent multimodal techniques are gaining popularity. This study carried out a comprehensive analysis of research articles on multimodal approaches that were published between 2020 and 2024 in Scopus and Google Scholar. The results show that there is limited study on the multimodal approach and on a variety of lung disorders such as asthma, TB, pneumonia, and chronic obstructive pulmonary disease. Several studies concentrated mainly on the detection and binary classification of COVID-19. The field has several challenges, including limited datasets, high computing costs, difficulties in integrating multiple modalities, and lack of accessibility of the models. Future studies should look at a wider range of lung diseases, increase the accessibility of datasets, improve fusion methods for merging data from many sources, and create models that are easier to understand and use fewer resources. Resolving these issues will improve patient outcomes by advancing the real-world use of deep learning in medical diagnosis.
Open Access
ACCOUNTING OUTSOURCING SERVICES FROM THE PERSPECTIVES OF TRANSACTION COST ECONOMIES: A STUDY IN KAZAKHSTAN
(SDU University, 2023) Araylim Rakhymberdi; Zhansaya Zhengis
The purpose of this study is to understand the effects of accounting outsourcing services on transaction costs and operating expenses of SMEs in Kazakhstan. Semi-structured interviews were used to collect data from people who either work for an accounting outsourcing firm or a firm that receives accounting outsourcing services. Thematic analysis’ results reveal that accounting outsourcing services would benefit firms basically in two aspects. They are operational cost savings and digitalization. Besides, risks associated with accounting outsourcing services have been revealed such as the dissemination of confidential information. Theoretical and practical implications are discussed. Finally, limitations and directions for future research are also presented.
Open Access
ANALYSIS OF THE DEVELOPMENT OF EXPORT TRADE IN THE REPUBLIC OF KAZAKHSTAN
(СДУ хабаршысы - 2017, 2017) Sabyr U.N.
Abstract. Kazakhstan has embarked on an ambitious diversification program, aimed at developing targeted sectors like transport, pharmaceuticals, telecommunications, petrochemicals and food processing. In 2010 Kazakhstan joined the Belarus-Kazakhstan-Russia Customs Union in an effort to boost foreign investment and improve trade relationships. The Customs Union evolved into the Eurasian Economic Union in January 2015. During 2014, Kazakhstan’s economy was hampered by Russia’s slowing economy, the weakening ruble, falling oil prices, and problems at its Kashagan oil field. Kazakhstan devalued its currency, the tenge, by 19 percent in February and in November the government announced a stimulus package to cope with the economic challenges. This article describes the general position of Kazakhstan in export trade. For this, a descriptive analysis of the data is used based on the areas of economic development of Kazakhstan already studied. The common goal is to identify the reasons and solutions to the problems at this stage of the economy development, as well as the forecast for the next five years.
Open Access
APPLICATION OF CLIL IN MATHEMATICS LESSONS FOR IMPROVING STUDENTS’MOTIVATION
(СДУ хабаршысы - 2017, 2017) Nurzhan R. ; Ashirimbetova M.
Abstract. CLIL model has proved its effectiveness in teaching language and content. And also it plays one of the major roles in increasing students’ motivation. The research into the benefits of teaching mathematics in English to Kazakh students refers to the following domains: the development of students’ cognitive skills for both mathematics and English, the relationship of the two disciplines and its impact on learning and teaching. Thus, the current article dwells upon the procedure and the results of an experiment conducted with application of CLIL method for Mathematics lessons aimed at improving students’ motivation.
Open Access
BENEFITS AND CHALLENGES OF PEER ASSESSMENT IN HIGHER EDUCATION: A COMPREHENSIVE LITERATURE REVIEW
(SDU University, 2025) Amina Aisarova; Aizhan Amangazina
Peer assessment has been described as a collaborative method of assessment that promotes active and reflective learning. It is particularly useful in the higher educational context since university students are required to be involved in more autonomous and student-centered activities. Therefore, university instructors should consider alternative forms of assessment. However, peer assessment is often neglected by instructors, and students are not prepared to employ peer practices. The aim of the current literature review is to analyze the previous studies on peer assessment in higher education. Particularly, it will describe the reasons for using peer assessment, its forms, and the benefits and challenges of employing peer assessment in higher education. Therefore, the findings will raise the awareness of teachers and students regarding the advantages and limitations of peer assessment techniques. To achieve this goal, the review of 30 articles, which were related to the implementation of peer assessment in higher education is presented. The articles were selected from various databases, namely Google Scholar, ERIC, and JSTOR, between the years 2015 and 2024.
Open Access
Bias and Fairness in Automated Loan Approvals: A Systematic Review of Machine Learning Approaches
(SDU University, 2025) Suraiyo Raziyeva; Meraryslan Meraliyev
Artificial intelligence (AI) is increasingly transforming credit approval processes, enabling financial institutions to assess risk more efficiently and at greater scale. As these systems become more embedded in lending decisions, concerns around fairness, bias, and accountability have grown significantly. Many of these concerns stem from the use of historical data, proxy variables, and model optimization choices that can unintentionally reinforce existing social and economic inequalities. This work presents a systematic overview of the types and sources of bias in AI - driven loan approval systems and critically examines how machine learning techniques attempt to address them. It also highlights emerging solutions, including explainable AI, federated learning, human-in-the-loop frameworks, and intersectional fairness approaches. Despite ongoing advancements, unresolved challenges remain - particularly the need for dynamic fairness monitoring and for addressing intersectional biases affecting individuals from multiple marginalized groups. To bridge these gaps, the paper emphasizes the importance of interdisciplinary collaboration among AI developers, regulatory bodies, and social scientists. It advocates embedding fairness as a core design principle in the development and deployment of future AI systems. Overall, this study contributes to the growing effort to develop more transparent, inclusive, and socially responsible financial technologies.
Open Access
BUILDING CULTURAL BRIDGES THROUGH SOCIAL MEDIA NETWORKS: A CASE STUDY
(Suleyman Demirel University, 2020) Reima Al-Jarf
An English teacher uses Skype to connect his high school students in an Indian village with international teachers to help them interact and converse with them in English. Each international teacher interacts with the students in English once for 40 minutes. The teacher does that daily, and each day an international guest teacher is from a different country. The aims of this study are to report the effects of this kind of intercultural exchange on students’ English language skill development and cultural and global awareness. Results showed many benefits for the students: Listening and speaking skill enhancement, getting used to different native and non-native accents, improved pronunciation, and learning new vocabulary and grammatical structures. The students also learn names of countries, their location, flags, currency, cities, people, and exchange information and pictures about the local and target cultures. They learn about the foreign country’s educational system, history, antiquities, food, art, traditions, and costumes. They are taken on virtual field trips to some historical places and museums. They learn about natural phenomena such as the northern lights. Sometimes they receive books, T-shirts and pens as gifts from foreign teachers. Shortcomings of such intercultural exchange and suggestions for improvement are given.
Open Access
CHALLENGES FACED BY HIGH SCHOOL STUDENTS IN PREPARING FOR THE ENGLISH EXAM AT UNT IN KAZAKHSTAN
(SDU University, 2025) Aigerim Anuarbekova; Mehmet Ali Yaylacı
This study examines some primary challenges faced by 11th-grade students at Dostyq School in Kazakhstan as they get ready for the English section of the Unified National Testing (UNT). From semi-structured interviews of 15 students, a few themes that recurred emerged. Participants reported many difficulties with vocabulary acquisition, reading comprehension, and grammar, which they identified as definite barriers to achieving high scores. Exam-related stress was also of important concern, with many students expressing feelings of anxiety and pressure leading up to the test. Some students considered preparing for the IELTS exam, with the possibility of converting IELTS scores into UNT points, while feeling unprepared in terms of time and language skills. Many students relied upon external support, such as several private tutors, multiple group courses, or diverse online platforms, including Juz40, EDUCON, KURSANT, and YouTube. However, many people noted that these resources frequently lacked some personalized guidance that they needed. They required this guidance to address their particular weaknesses. Students highlighted the emotional strain from parental expectations, in addition to academic challenges. These findings suggest a need for much more accessible as well as tailored preparatory materials, in addition to stronger emotional together with motivational support systems that better equip students for the demands of the English UNT.
Open Access
CODE-SWITCHING IN DIALOGUES AMONG YOUNG INDIVIDUALS FROM KAZAKHSTAN
(SDU University, 2023) Myrzabek A.; Amangazina A.; Moldagaliyeva I.
This research investigates the varieties and communicative purposes of codeswitching (CS) among the youth demographic in Kazakhstan. Centered around specific research questions, the researchers investigate the complex dynamics of CS within Kazakhstan's bilingual environment. Four young individuals studying abroad participated in a focus group interview, and the results showed a range of code-switching occurrences, from intra-sentential to tag-switching, and differing levels of ability to switch codes. There are various reasons why people switch codes, such as habit or choosing the best language for a conversation. Findings were discussed with a focus on the expressive and referential functions observed among young Kazakh adults. The comfort level of speakers in a given language and audience familiarity are factors that affect code- switching. The paper acknowledges its limits and proposes directions for future investigation, promoting the examination of other factors that may impact code - switching among young Kazakh adults.
Open Access
DETECTING SOCIAL CONFLICTS IN KINDERGARTENS USING DEEPLEARNING AND COMPUTER VISION
(SDU University, 2025) Dina Kengesbay
Early conflict detection in kindergartens plays a significant role in ensuring a harmonious learningatmosphere and in promoting the social growth of young children. While most previous works have onlyaddressed conflict detection through adults, in this paper, we specifically address conflict detection inkindergartens using deep learning, utilizing both spatial and temporal information to improve performance.The application of deep learning and computer vision in automatically detecting and analyzing earlyconflicts among young children is discussed in this paper. Using video footage, we leverage state-of-the-art RNNs and 3D CNNs for high-accuracy detection of conflict instances. Crucial visual cues—facialexpressions, gestures, poses, vocal tone, and movement—are examined for the extraction of tension oraggression signs. The model is evaluated on real kindergarten video data, with promising conflict detectionand classification results. The findings indicate the potential of AI-supported tools in assisting teachers inclass management, child behavior monitoring, early intervention mechanisms, and the fostering of a goodsocial environment.
Open Access
Development of method to analyzefactors of kidney disease by the use of fuzzy logic
(SDU University, 2025) Assel Yembergenova; Azamat Serek; Bauyrzhan Berlikozha
The study introduces a new strategy for the analysis of kidney disease parameters based on fuzzy logic.Fuzzy logic is a more accurate way to categorize clinical parameters than statistical analysis because thereis uncertainty and variability in medical data. The data is comprised of an extensive amount of clinicalparameters including age, blood pressure, specific gravity, albumin, sugar, random blood glucose, bloodurea, serum creatinine, sodium, potassium, hemoglobin, packed cell volume, white blood cell count, andred blood cell count.The methodology utilizes fuzzy logic centroid computation to categorize these parameters into low,medium, and high levels to provide a more dynamic and interpretable assessment of renal health. Fuzzymemberships give the current work the capability to discover intricate interrelationships between clinicalvariables, which may have been otherwise unattainable by conventional mean, median, and standarddeviation-based analyses.The findings confirm that fuzzy logic and conventional statistical methods enhance the comprehensionof kidney disease by incorporating intricate interactions between clinical variables. The method is employedto achieve more accurate prediction and diagnostic models, offering insight to be used in kidney diseaseassessment and medical decisions.
Open Access
DIFFERENTIATION OF HOMEWORK IN PHYSICS TO IMPROVE THE ACHIVEMENTS OF 9TH GRADE STUDENTS IN SECONDARY SCHOOLS IN KAZAKHSTAN
(SDU University, 2025) Dadayev Aslan
This study examines the impact of differentiated homework assignments on the academic achievements of 9th-grade students in physics within secondary schools in Kazakhstan. The research employs a mixed-methods approach, incorporating both qualitative and quantitative data collection techniques, including pre- and post-assessment tests. The study aims to determine whether tailored homework assignments, based on students' proficiency levels and learning styles, enhance their understanding and performance in physics. Findings indicate that differentiation in homework positively affects student engagement, comprehension, and overall academic success. The research highlights the necessity of personalized learning approaches in physics education. This study contributes to the broader discourse on effective teaching methodologies and underscores the role of homework customization in fostering student achievement.
Open Access
EFL TEACHERS’ ATTITUDES TOWARDS THE USE OF AI GENERATED LESSON PLANS IN KAZAKHSTAN
(SDU University, 2025) Alina Fazilova; Aizhan Kayip
Prolific advancements in the sphere of Artificial Intelligence in Education and Artificial Intelligence, in general, beg the questions of how these technologies could be implemented in the English as a Foreign Language sphere and what English as a Foreign Language teachers’ attitudes towards Artificial Intelligence-generated lesson plans are. In this research paper, the attitudes of Kazakhstani secondary school English as a Foreign Language teachers towards the use of Artificial Intelligence-generated lesson plans have been explored. Through analyzing responses from an online survey, the study identifies several prominent themes that reflect the overall attitudes of teachers towards Artificial Intelligence-generated lesson planning. The study employed qualitative research design and involved 27 participants. Their attitudes were collected via an open-ended questionnaire and analyzed with thematic analysis. The results indicate that AI-generated lesson plans can have a positive impact on student learning outcomes, with the guidance and adjustments made by teachers. However, concerns about automation bias and the lack of personalization in the plans are also identified. The benefits of lesson planning generated by Artificial Intelligence include efficiency, customization, and innovative ideas, while drawbacks include inflexibility in unanticipated situations and a lack of specificity in students' needs. The study concludes that teachers express overall positive attitudes towards the use of Artificial Intelligence-generated lesson plans. According to the results, English as a Foreign Language teachers believe that they offer a range of benefits for teachers and can potentially enhance student learning outcomes when used in conjunction with teacher modifications and adjustments.
Open Access
EFL TEACHERS’ PERCEPTIONS OF LESSON STUDY IMPLEMENTATION IN SECONDARY RURAL SCHOOLS THROUGH THE INTERDISCIPLINARY APPROACH
(SDU University, 2023) Ichshanova Zh.; Kassymova G.
Lesson study approach is widely used in various countries to develop teachers’ pedagogical and instructional knowledge. The purpose of this study is to explore how Kazakhstani EFL teachers perceive the effectiveness of Lesson Study implemented through an interdisciplinary approach. Five EFL teachers from a secondary rural school who were the members of the interdisciplinary group of the Lesson Study participated in semi-structured interviews. The respondents indicated that the Lesson Study through the interdisciplinary approach had significantly improved their pedagogical and instructional knowledge. However, they also indicated that they experienced some challenges in the process, such as time consumption, observation of case students, and support from the administration of school.
Open Access
EFL TEACHERS’ PERCEPTIONS OF STRATEGIES TO FOSTER CRITICAL THINKING SKILLS IN ONLINE EDUCATION
(Suleyman Demirel University, 2020) Junisbayeva S.; Smakova K.
The significance of critical thinking skills is highly recognized in foreign language teaching worldwide and in the Kazakhstani state curriculum of secondary education as well. However, the COVID-19 crisis obliged most educational institutions to adopt an online form of instruction, which is new for most teachers. Thus, this study analyses the Kazakhstani EFL teachers’ perceptions of fostering critical thinking strategies in online teaching during the pandemics with the aim of investigating how EFL teachers view the core concepts of critical thinking skills and the strategies implemented during online lessons. Employing semi-structured interviews, qualitative data were collected from ten non randomly selected EFL teachers. The findings reveal that teachers are aware of the core concepts of critical thinking skills and the strategies that can be adapted and implemented online. However, while using certain strategies to develop critical thinking skills, teachers encounter challenges that require greater support to overcome.
Open Access
EXPLORING ACADEMIC AND NON-ACADEMIC IMPACTS OF SINGLE-GENDER VERSUS COEDUCATIONAL SCHOOLING
(СДУ хабаршысы - 2023, 2023) M. Kozha
Abstract. School education is the foundation for a person's lifelong education. Consequently, providing students with a comfortable learning environment has significant importance. A vast amount of education research is focusing on the type of schooling. However, the question of which type of schooling leads to higher academic achievement remains unclear. This article is an exploratory literature focusing on the academic and non-academic advantages and disadvantages of single-gender versus coeducational schooling. The review showed that research on single-gender versus coeducational schools covered both academic and non-academic issues. It appears that in some contexts, both types of schooling show better academic outcomes. Further research is needed to understand how contextual or organizational factors may influence these differences.
Open Access
FEATURES OF THE SMART BOARD IN INTERNET
(СДУ хабаршысы - 2017, 2017) Sabituly G. ; Aubakirov A.
Abstract. Smart technologies and interactive white boards become very popular tool in education last years. There are many advantages of using such device in the teaching, since it is more interesting for the students, helps to save the time and make the educational process more effective. One of the most important facilities of the interactive whiteboards is an immediate access to internet. In other words, the teacher get access to the huge base of knowledge, educational materials, movies and resources. In this article main facilities of using internet in interactive whiteboards are discussed. Special attention is paid to so-called virtual whiteboards that have been created for the distance education. In addition, on a virtual board, as well as on its real counterpart, there is a possibility to write formulas, build various geometric shapes. With the help of special services, you can transfer graphic images and text files. Interactive whiteboard is indispensable for conducting webinars, conferences, trainings, as well as meetings of the teacher with several students.
Open Access
FISCAL DECENTRALIZATION IN KAZAKHSTAN AND THE IMPACT ON ECONOMIC GROWTH
(SDU University, 2023) Galymzhan Zupiruly; Mansiya Zhanabay
This article proposes a method for assessing the effects of fiscal decentralization on economic development. The relationship between the proper level of fiscal decentralization and economic growth for 17 regions and cities of republican significance in Kazakhstan from 2010 to 2020 was evaluated using panel data. Panel cointegration and dynamic ordinary least squares (DOLS) results suggest that fiscal decentralization has a negative and significant impact on gross regional product. The study found that both income and expenditure decentralization have a negative impact on economic growth, and that further fiscal decentralization currently has a negative impact on gross regional product (GRP) growth. Given the premise that fiscal decentralization usually promotes local economic progress, this consistently significant and powerful result of our empirical analysis is surprising.