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Item Open Access Development of metacognitive skill in teaching mathematics(2020 International Young Scholars Workshop, 2020) Yernazar A.Abstract. The study of metacognitive processes in the context of training and education is currently undoubtedly a priority in metacognitive psychology as a whole. The importance of this group of studies is due in many respects to the large representation of the class of processes in question in educational activities. At the same time, work in this area is not limited to a sample of primary school children, as this has been a significant amount of time. In recent years, the inclusion of the category of metacognition in education affects the educational activities of senior students, graduate students, and generally people involved in continuing education. The study described in this article aims at investigating the relation between the development of metacognition skills and success in learning algebraic identity formulas among middle school students. It uses a quantitative approach. Participants are about 50 students of 7th grade from Oral Bilim Innovation Liceum in Kazakhstan and are divided into two groups, namely experimental and control group. The data is collected by taking a pre-test and post-test from both classes. The diagnostic test is constructed by the researcher and confirmed by university professors. During the research students in the experimental group are familiarized with the concept of metacognition and its strategies such as thinking aloud, self-questioning, reflection and active learning strategies by applying them to solve problems with identity formulas. Finally, the data will be analyzed with ttest and much deeper conclusion will be drawn about the development of metacognitive strategies among students in teaching mathematics.Item Open Access THE EFFECT OF PROJECT-BASED LEARNING ON STUDENTS’ ACHIEVEMENT IN MATHEMATICS(2020 International Young Scholars Workshop, 2020) Nurbavliyev O.; Kaymak S.; Аlmas А.; Mbala O.A.Abstract. The aim of this research was to investigate the effect of project-based learning (PBL) on second-course education mathematics students’ achievement. The study was carried out 5 weeks with 37 students in a principle of geometry course at Suleyman Demirel University in Kazakhstan. The final results were obtained to measure students’ academic achievement as pretest and post-test were obtained. Data were analyzed using a t-test. The results of the achievement test indicated PBL has a significant positive effect on students’ achievement in the principle of geometry course.Item Open Access Cardinality of survival set for the chaotic Tent map with holes(2020 International Young Scholars Workshop, 2020) Aitu N.; Bayadilova G.Abstract. The aim of this paper is to give an overview of the dynamics of one dimensionaldiscrete dynamical systems: Tent map family T_3, Doubling map E_2 and shift map σ are investigated. Let I-intervals(Holes) lie in the interval [0,1) and let E_2 be a Doubling map. The survivor set Ω(I) :={x∈[0,1) : E_nx /∈ I, n≥0}. Depending on location and size of the intervals we will characterize the survivor set Ω(I) infinite or finite. Also we will show conjugacy of some maps that used in this paper. By using conjugacy of functions we will show that the Survivor set is infinite or finite in another composition of maps. The Cantor sets Λ that occur as non-survivor sets for c >2 from Tent map family T_c.[1]Item Open Access The Automation of Course Scheduling in Higher Education Institutions: Mathematical methods and software products(2020 International Young Scholars Workshop, 2020) Aitchanov B.; Baimuratov O.; Rustauletov B.Abstract. The formation and management of schedules is repetitive and troublesome for any class, university and organization. Limited resources in terms of people, time and locations. Institutions needs solutions that will meet all of these constraints of scheduling. That system for scheduling should take in control the scheduling process which takes time by automatically allocating time slots for teaching and creating course schedule. And easily can be integrated with their systems without need to do some extra work like adding data for scheduling or exporting them, reducing the time spend on creating schedules and minimizing errors that made by people. Today, there are various types of systems and services designed to create schedules, reserve classrooms, assign classrooms for course teachers at specific times. The use of modern technologies, methods and models makes it easy to use open applications and services, as well as services at the local level. This paper presents the results of the analysis of systems. Their structures, algorithms, models, and also functional capabilities. The aim of this work is to determine the types of applications and systems, analysis of various options for the implementation of algorithms for the formation of schedules in educational institutions.Item Open 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.Item Open Access Impact of terrible pandemic COVID-19 on Kazakhstani education and it’s outcome(2020 International Young Scholars Workshop, 2020) Bektursynova A.; Sarsengaliyeva B.Abstract. The general situation with coronavirus in the world and in Kazakhstan and its effects on our lives, especially on education. The article discusses the shortcomings of the COVID-19 epidemic in the education of the Republic of Kazakhstan. The authors assess the impact of the pandemic and its impact on teaching and teaching and try to hold a discussion and take a critical look at the Kazakh and global context. Important aspects such as teachers, lessons, parents, assessment, influenced by COVID-19, give us clear information about how life goes on in a difficult phase of life and what advantages can be achieved and derived from it. Every aspect affected responded differently, some performed excellently, and some had unlikely results. In addition, how and what has changed the global pandemic in the Kazakh education system. Changes can be both positive and negative. How has education changed and which instruments have teachers used so far?Item Open Access Does discussion have effect on students’ responses?(2020 International Young Scholars Workshop, 2020) Kaymak S.Abstract. Peer instruction teaching method has become an efficient learning strategy at all education grades. Peer teaching method developed by Eric Mazur can be defined as a technique in which participants actively participate in the education process by discussing in a peer group and helping each other in the group during the lesson. The aim of the present research was to investigate the effect of discussion in peer instruction techniques during the lecture. The application was carried out five weeks with 30 students in the first-course education mathematics students in an introduction to mathematical analysis lesson at Suleyman Demirel University in Kazakhstan. Concept test questions were asked to students during the lecture. We analyzed the answers of 32 multiple-choice conceptual different questions. We measured the data by using a ttest (p=.000). The results showed the discussion has a significant influence on the change of students’ responses from inaccurate to accurate answers as previous studies.Item Open 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.Item Open 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.Item Open 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.