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Now showing 1 - 10 of 41
  • ItemOpen Access
    Word problems in the school mathematics course
    (2020 International Young Scholars, 2020) Kudaibergen A.A.
    Abstract Mathematical education is part of the system of continuing education and is of great importance in ensuring the development of human intellectual abilities in modern society. In the secondary education system, teaching mathematics takes a special place in the development of cognitive abilities and logical thinking of students.The main goal of our study is to develop methodological foundations for teaching word problems in the process of teaching mathematics in secondary school and to test its effectiveness experimentally. There are various methods for solving word problems: arithmetic method, algebraic method, geometric method, logical method, practical method, and tabular method. Different mathematical models are created based on each method. In the course of secondary school mathematics, two methods of solving word problems are considered: arithmetic and algebraic. The main purpose of the conducted pedagogical experiment was to test the effectiveness of the method that allows to increase the level of mathematical training of secondary school students, based on the use of the algebraic method in solving word problems of secondary school students. Prospects for research on the development of teaching methods for solving word problems are associated with a deep consideration of professional, creative and personal aspects of students.
  • ItemOpen Access
    PROJECT-BASED LEARNING AS AN APPROACH TO DEVELOP CRITICAL THINKING SKILLS: A LITERATURE REVIEW
    (2020 International Young Scholars, 2020) Junisbayeva S.
    Abstract Project-Based Learning is a learner-centered approach, which is known as one of the ways that facilitates the development of professional competencies and promotes learners’ critical thinking skills. This paper provides a selective review of the literature and the analysis of the studies on Project-Based Learning (PBL) in the field of foreign language education and critical thinking skills including the main concepts, key components and a learning process within PBL. PBL has a strong theoretical support from the foreign literature, and most of the researchers understood and implemented it as an approach to foster critical thinking skills in the reviewed studies; however, not all of them complied with its essential elements proposed as “Gold Standard of PBL”. Particularly, the analysis of the selected studies in PBL sphere revealed that most of the researchers did not take into consideration the requirements of the last and main stage of the PBL as “Public product”, that demands the projects to be presented in front of the alternative audience. Even though, the final products were designed within these projects, they were not performed out of the classroom, which in its turn is opposite to the policy of rigorous “ProjectBased Learning”.
  • ItemOpen Access
    New methods of teaching law problems & perspectives
    (2020 International Young Scholars Workshop, 2020) Niteesh K.U.
    Abtract. There has been shift from, only ‘Class Room Learning’ to the ‘Clinical Method of Learning’ and it will be the major revolutionizing work in the history of Law Teaching. The researcher will discuss in detail the learning by doing method which can be used for teaching law students and also evaluating them. The present ‘Learning by doing Model" can also be used to evaluate various projects of students. Apart from that the researcher will present quite a few models to integrate the different subjects with clinical approach of teaching law and make recommendations as to how this can be mentored and evaluated. The researcher has discussed in detail the model adopted in Galgotias University and its pros and cons and how this model has helped the students in better learning.
  • ItemOpen Access
    The stability of money demand in Kazakhstan
    (2020 International Young Scholars Workshop, 2020) Azizova D.; Nurova A.; Saydaliev B.H.
    Abstract. The objective of this research paper is to identify and analyze and investigate the domestic money demand in Kazakhstan. While in other counties money demand relies on the several factors such as: income among the population, inflation rates, real foreign interest rates, stock prices and exchange rates, we will try to find out the key dependent elements for Kazakhstan, since each country is unique and has its own benefits in terms of economy. To do so, different articles, starting all the way from the years of 2000 will be used, due to the limited amount of information available in this related topic.
  • ItemOpen Access
    Ақпаратты өндіру, қабылдау және қайта өндіру: Н. Назарбаевтың "Болашаққа бағдар: Рухани жаңғыру" бағдарлама-мақаласы мысалында
    (2020 International Young Scholars, 2020) Қыдырбаев О.
    Аңдатпа. 2017 жылдың 12 сәуірінде "Егемен Қазақстан" газетіне Н. Назарбаевтың "Болашаққа бағдар: Рухани жаңғыру" бағдарлама-мақаласы жарияланды. Мақала жариялана салысымен саясаткерлер, қоғам қайраткерлері және мемлекеттік басылымдар оны жаппай насихаттай бастады. Соңғы бірнеше жылда “Рухани жаңғыру” бағдарламасының негізгі идеясын көпшілікке түсіндіру үшін мемлекет бюджетінен миллиондаған қаржы бөлінген. Бұл зерттеу жұмысы Стюарт Холлдың қабылдау анализі (reception analysis) теориясына сүйене отырып, автор (яғни президент Назарбаев) аудиторияға қандай мессейдж жолдағанын, аудитория ол ақпаратты қалай қабылдап және ақпаратты қалай қайта өндіргенін анықтауды мақсат етеді. Зерттеу барысында бағдарлама-мақаланың қазақ және орыс тіліндегі тақырыптары өзара салыстырылып, “Егемен Қазақстан” газетінің 1 күндік шығарылымындағы “Рухани жаңғыру” тақырыбына қатысты материалдарға контентанализ жасалды. Сондай-ақ онлайн-анкета көмегімен аудиторияның “Рухани жаңғыру” идеясын қалай түсінгенін анықтап көрдік. Зерттеу нәтижесі бір бағдарлама қазақша және орысша сөйлейтін қазақстандықтарға екі түрлі месседж жолдайтынын, мемлекеттік медиа ұсынған ақпаратты оқырман дәл сол қалпында қабылдамайтынын, тіпті кейде мүлде теріс қабылдайтынын ортаға шығарды. Осылайша мемлекет жүргізіп жатқан екі қырлы пропагандалық саясаттың тиімсіздігі, ал аудиторияның 1920-1940 жылдардағы ықпал зерттеулері (Лазарсфельд, Ласуел, т.б.) айтқандай пассив емес, керісінше, актив екендігі анықталды.
  • ItemOpen Access
    Monetary Policy and the Real Economy: A Structural VAR Approach for Kazakhstan
    (2020 International Young Scholars, 2020) Zinauova N.; Tautanova Z.; Saydaliev H.B.
    Abstract This paper shows monetary policy indicator which better explains Kazakhstani transmission mechanism. The study also discusses how foreign monetary policy or oil prices affect domestic macroeconomic variables. We use a seven variable by utilizing quarterly time series data from Kazakhstan covering the period from January 2005 to December 2017. They are: interest rate, exchange rate, output, reserve money, consumer price index, then, World oil price index and Federal Funds rate.
  • ItemOpen Access
    Prediction of Thinking-Feeling personalities of movie characters
    (2020 International Young Scholars Workshop, 2020) Atanbekov A.; Shirzad H.
    Abstract. This paper is going to explore the difference between the vocabularies used by Thinking and Feeling personalities. To find out this we used the Machine Learning algorithm Naïve Bayes which showed the best accuracy in comparison with others. The concept was motivated by essays of scholars when they submitted the first time at university and to get the full psychological portrait of the student only by given text. To train the model we used a labeled dataset that was collected through a forum with real persons. This dataset contains the type of the person and their posts in social media. To test the model using another dataset which contains information about movie characters and their speech used in the movie. Psycho-type was described by Myers-Briggs Type Indicators (MBTI) which is one of the most popular typologies. To achieve better accuracy of prediction we trained the model separately for Thinking and Feeling predictors. Overall, we achieved better accuracy than previous studies and showed the difference between the vocabularies used by Thinkers and Feelers.
  • ItemOpen Access
    Applying machine learning models for predicting forest fires in Australia and the influence of weather on the spread of fires based on satellite and weather forecast data
    (2020 International Young Scholars Workshop, 2020) Meraliyev B.; Kongratbayev K.
    Abstract What shall we expect from the year 2020? The coronavirus pandemic is not the worst thing that humanity can face in the near future. According to the observations of the scientists, in March, 2020, the planet temperature warmed up to the record-high level. Also, the temperature of the world’s oceans exceeded its average temperatures by 80%, and prognosis of the meteorological observations is not good. The warming seas had already led to catastrophic disaster. The average temperature increase can also lead to hurricanes, drought, invasion of locusts and, the worst, to forest fires. Natural disasters lead to loss of life, destruction of properties and infrastructure, loss of animal natural habitats, displacement of humans. And the results of these all lead to humanitarian catastrophes, including social and economic. The situations related to the nature are always very serious, as the whole world is involved. This is like butterfly effect, i.e., the natural disaster in Australia affect the economic and ecologic situation in USA and England. Taking the Australia, they faced problem that cannot be avoided. Nevertheless, the world can be prepared and prevent from the huge disasters. The forecasting of forest fires can really be helpful, as well as the inquiry of the weather impact on fires. The current paper is focused on the study of fire forecasting and weather influence on fire. The relevance of the study is important, as the global warming and human caused fires are increasing and there is a trend that Australia’s fires became more dangerous and longer lasting. The artificial intelligence, particularly machine learning algorithms, can help to make appropriate calculations and predictions to safe the ecosystem and human lives. According to the preliminary research results we acquire; in-depth multidimensional analysis confirms almost 100 percent dependence of bushfires on the weather conditions. Using the machine learning algorithms, it would be possible to predict the time and positioning of inflammation source.
  • ItemOpen Access
    Негізгі мектеп математикасын оқыту барысында оқушылардың білім алуға деген мотивациясы
    (2020 International Young Scholars, 2020) Сайлаубаева А.Б.
    Андатпа: Қазақстанның білім беру жүйесі бойынша оқушы 11 немесе 12 жыл мектепте оқиды. Соның ішіндегі ең маңызды және ұзақтығы бойынша негізгі мектеп дей айталамыз, өйткені негізгі мектеп- білім жүйесінің басты буыны болып табылады. Математика негізінен оқушылар үшін күрделі сабақтардың бірі болып табылады, сонымен қатар негізгі мектептің 7 сыныбында математика: алгебра және геометрия болып бөліне бастайды, яғни бұл оқушылардың математика сабағын оқудағы мотивациясын не түсіру, не жоғарталу факторы болу мүмкін. Сондықтан осы уақытта оқушыға мотивация бере алу өте маңызды. Бұл мақалада мотивация сөзі жайлы, мотивацияның туа бітетін немесе жандандыруға болатын қасиет пе, мотивацияның түрлері, мотивацияның оқу барысындағы рөлі, оқу барысында оқушыларды қалай ынталандыруға және ынтасын көтеруге болатыны жайлы айтылады.
  • ItemOpen Access
    Competitive Landscape Shift: When does a competitor matter?
    (2020 International Young Scholars, 2020) Kamzabek T.
    Abstract This research broadens the Strategic Entrepreneurship construct. This research aims to clarify the relationship between strategic and entrepreneurial activities with competitive landscape changes by questioning is the firm limited to the current boundary of competition? By integrating the competitive dynamics and multimarket competition theory, the study finds the correlative relationship between Strategic Entrepreneurship activities with competitive landscape shifts. The study found that explorative activities do not have any commonalities with traditional competitors. Also, the high involvement competitive tension with rival causes the firm to go beyond its current landscape, which enables the incumbent firm to increase the market commonality with new competitors and traditional competitors. The research also looking for the anomalies that emerged within the process of it and give several explanations for that. By analyzing the M&A history (between 1995 - 2019) of big players in the consumer goods industry which has a similar core (Procter & Gamble and Unilever) I found the support to the hypothesis.