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    ARTIFICIAL AI IN TEST AUTOMATION: SOFTWARE TESTING OPPORTUNITIES WITH OPENAI TECHNOLOGY - CHATGPT
    (СДУ хабаршысы - 2023, 2023) Talasbek A.
    Abstract. One of the most important and significant stages of the software development life cycle is software testing. Automated testing reduces testing costs and increases productivity, resulting in a high-quality and stable end product. To ensure that software is bug-free and delivers the desired user experience, test automation is critical. As technology advances, test automation becomes more complex. However, advanced Al technologies will soon become commonplace thanks to powerful tools like ChatGPT that, among countless other things, can chat with you and teach you how to read and write code like a human. In this article, we will try to consider the possibilities of automation with chatgpt. Starting with writing test plans, and test scripts by using Python and Selenium WebDriver. How ChatGPT can improve our tasks and make them more feasible. By leveraging the capabilities of ChatGPT, software testing engineers can enhance their skills, improve testing capabilities, and achieve better quality and accuracy of test results. The opportunities presented by ChatGPT can lead to improved efficiency, productivity, and overall performance in the field of software testing engineering.
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    KAZAKH HANDWRITING RECOGNITION
    (СДУ хабаршысы - 2023, 2023) Bazarkulova A.; Mutalivev Y.; Chazhabayev A.; Telman D. ; Bazarkulova D.
    Abstract. Recognition of handwritten text is one aspect of object recognition and known as handwriting detection cause of a computer’s potential to recognize and comprehend readable handwriting from resources including paper files, touch smart devices, images, etc. Data is categorized into a number of classes or groups using pattern recognition. The paper presents a successful experiment in recognizing handwritten Kazakh text using Convolutional Recurrent Neural Network based architectures and the Kazakh Autonomous Handwritten Text Dataset. The proposed algorithm achieved an overall accuracy of 86.36% and showed promising results. However, the paper suggests that further research could be conducted to improve the model, such as correlating and enlarging the database or incorporating other models and libraries. Additionally, the paper emphasizes the importance of considering language specifics when building a text recognition model, as modern algorithms that work well in one language may not guarantee the same performance in another.
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    PREDICTING COURSE GRADES OF STUDENTS’ ACADEMIC PERFORMANCE USING THE LIGHTGBM REGRESSOR.
    (СДУ хабаршысы - 2023, 2023) Bairamova D.
    Abstract. In the modern world, using all available opportunities and technologies, special attention should be paid to the development of the education system of students, since education serves as the basis for the development of the future generation. Nowadays, thanks to the use of available Artificial Intelligence methods, it is possible to predict various events, anomalies or other important things. With the help of machine learning, it is possible to predict at an early stage of a student's education whether he will finish the course successfully or not. In this study, it is proposed to predict the final score which student will receive at the end of the course using a number of predictors as an assessment for the first quiz and 3 types of tasks using the LightGBM regressor, which is a high-performance algorithm with gradient boosting. The results of using the LGBM regressor using GridSearchCV allowed to determine the best settings of hyperparameters from three selected tree-like boosting methods: 'dart', 'gbdt', 'goss'. The GOSS method was determined to be the best of the three methods listed with an estimate of R2 score in 0.81, which is 0.24 more than the R2 score of the Linear Regression forecast of — (0.57).
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    STOCHASTIC DYNAMIC VEHICLE ROUTING PROBLEM SURVEY
    (СДУ хабаршысы - 2023, 2023) Akhmetbek Y.; Mustakhov T.
    Abstract. The present article aims to offer an exhaustive and in-depth investigation of the Stochastic Dynamic Vehicle Routing Problem, which remains a significant challenge in the field of transportation logistics. To achieve this objective, we will undertake a meticulous analysis of the latest cutting-edge techniques and methodologies deployed to tackle this complex optimization problem. Furthermore, we will delve into the intricate and multifaceted stochastic and dynamic constraints that pose formidable obstacles to effective route planning and optimization. Through this survey paper, we seek to provide a comprehensive understanding of the current state-of-the-art approaches and highlight the potential avenues for future research in this critical area of transportation logistics. In addition, we will also analyze the application of advanced reinforcement learning methods and Markov decision processes to solve the problem of stochastic dynamic vehicle routing.
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    ANALYSIS OF PROGRAMMING EDUCATION AT THE PRIMARY EDUCATION LEVEL
    (СДУ хабаршысы - 2023, 2023) Saimassay G. ; Zhaparov M. ; Mukhiyayeva A. ; Zhalgassova Zh.
    Abstract. Programming education has traditionally been provided at the undergraduate level worldwide. However, in recent years, there has been a growing trend in developed countries to introduce programming education at earlier ages with the aim of promoting software literacy, improving programming skills, and making programming education accessible to a wider audience. While some countries are updating their informatics lessons to include programming, others are incorporating programming lessons into their primary education curriculum for the first time. The level at which programming training is offered also differs between countries. The objective of this research is to explore how countries have integrated programming education into their curricula and to identify the differences between countries in terms of programming education. The study aims to answer the question of how programming education is provided at the primary education level both domestically and abroad. The research has found that programming education is increasingly recognized as important and many countries are now allowing programming lessons in their education curriculum, with some countries even introducing programming education in kindergarten. However, there are variations in the programming languages used and the skills taught to students across different countries.
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    EXPLORING THE IMPACT OF MACHINE LEARNING ON KYC COMPLIANCE COSTS AND CUSTOMER EXPERIENCE
    (СДУ хабаршысы - 2023, 2023) Sattarbek A. ; Zhumashev B.; Parmanov S.
    Abstract. The Know Your Customer (KYC) compliance process is a critical requirement for financial institutions to prevent money laundering, fraud, and terrorist financing. Machine learning algorithms have the potential to improve the efficiency and accuracy of KYC compliance checks. In this study, we explored the effectiveness of several classification algorithms for KYC compliance checks using a dataset with 3000 rows collected from a famous banking system in Kazakhstan. We compared the performance of four commonly used algorithms: Decision Tree, Random Forest, Logistic Regression, and Support Vector Machines. Our results showed that all four algorithms achieved high accuracy rates, with Random Forest performing the best, achieving an accuracy rate of 92.1%. These findings suggest that machine learning algorithms can effectively classify KYC checks, with Random Forest being the most effective algorithm in our study. This study provides further evidence of the potential of machine learning for KYC compliance checks in the banking industry, but also highlights the need for ongoing monitoring and validation of machine learning models and concerns about explainability and transparency.
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    THEORETICAL AND METHODOLOGICAL REGULATORS OF THE PROBLEM OF DUAL EDUCATION FACILITATION IN THE SYSTEM OF HIGHER PROFESSIONAL EDUCATION
    (SDU University, 2023) Baimukhambetova B.; Radchenko N.
    The article is devoted to the study of the possibilities of using facilitation technology to improve the quality of dual education, the implementation of which in the system of higher professional education is experiencing serious difficulties. On the basis of the research it is concluded that the organisation and implementation of dual education requires strategies that help to meet the interests and needs of all subjects of the educational process. At the same time, the potential of facilitation technology in improving the quality of dual education in pedagogical science is not disclosed. In this regard, the aim of the study is: to determine the theoretical and methodological regulators of the problem of dual education facilitation in the system of higher professional education. To achieve this goal, the methods of theoretical analysis of scientific literature on the problem of dual education and expert assessment of international practical experience of using facilitation technology in the educational segment were used. As a result, the concept of "dual education facilitation" is clarified, theoretical and methodological approaches to dual education facilitation are defined, the main stages and methods of dual education facilitation are identified. The scientific significance of the research is related to the expediency of revising the existingapproaches to the implementation of dual education in universities and filling it with new content on the basis of facilitation technology, taking into account the new requirements of the labour market. Determination of theoretical and methodological regulators of the problem of dual education facilitation in the system of higher professional education will allow avoiding errors in the organisation and practical implementation of this process.
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    АЙМАҚТЫҚ МЕРЗІМДІ БАСЫЛЫМДАРДАҒЫ МЕМЛЕКЕТТІК АҚПАРАТТЫҚ ТАПСЫРЫСТЫҢ РӨЛІ МЕН ОНЫҢ КҮН ТӘРТІБІН ҚАЛЫПТАСТЫРУҒА ӘСЕРІ
    (СДУ хабаршысы - 2023, 2023) Ж.Кенжебек; М.Саудбаев
    Аңдатпа. Мақалада мемлекеттік ақпараттық тапсырыстың бұқаралық ақпарат құралдарының, соның ішінде аймақтық мерзімді басылымдардың мазмұнына, ондағы күн тәртібінің құрылуына әсеріне зерттеу жүргізілген. Жұмыста «күн тәртібі» ұғымы, аймақтық газеттердің мазмұнына әсер ететін факторлар, мерзімді басылымдарда жиі қайталанатын тақырыптардың сол аумақтың шынайы тыныс-тіршілігімен, жергілікті аудиторияның қажеттіліктерімен сәйкес келмеуі сынды бірқатар өзекті мәселелер қозғалады. Зертттеудің мақсаты – жергілікті газеттердің мысалында қалыптасқан жағдайды зерделей отырып, аймақтық мерзімді басылымдардың жұмысын жандандырудың тиімді әдістерін ұсыну болып табылады. Осыған орай Панфилов аудандық «Жаркент өңірі» газетінің мазмұндық ерекшеліктеріне, белгілі бір кезеңде жарияланған материалдарына контент-анализ жасалып, талдау жасалды. Мемлекеттік ақпараттық тапсырыс қазақстандық медианың ажырамас бір бөлшегі болғандықтан, оның аймақтағы мерзімді басылымдардың мазмұнына, өзекті тақырыптарды қамтуына қаншалықты әсерін тигізетіні түсіндіріледі.
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    QUESTION ANSWERING SYSTEM UPON UNIFIED LANGUAGE MODEL AND EVALUATING PERFORMANCE OF DATASETS
    (СДУ хабаршысы - 2023, 2023) Ismagulov N.
    Abstract. Present days require automation and optimization in simple but urgent tasks. It is granted to use opportunities of technologies and science in order to work efficiently and to stay productive. In this paper, I seek to understand opportunities and drawbacks of the publicly available datasets, such as SQuAD, TriviaQA, Natural Questions (NQ). QUAC, NewsQA. It is vital to choose a suitable dataset in order to create a system with better performance. Specifically, the paper proposes an automatic question creating system that uses state-of-the-art Natural Language Processing (NLP) - Unified Language Model (UniLM). The question generating algorithm was verified using best datasets, and it has shown noteworthy results - questions generated were logical and correct. This study is important for teachers, teacher assistants, to save time writing test questions and spend it for more important duties.
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    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.