Proceedings of 2020 International Young Scholars Workshop

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Open Access
Analyzing the method game-based learning
(2020 International Young Scholars, 2020) Kairat N.
Abstract. This article discusses the benefits of using game-based learning. The purpose of the article: to provide a method that would make it easier for students to understand and accept the new topics at school and to remember the learned materials for a long time. Increasing the interest and activity of schoolchildren is an important part of the learning process. Motivating students is one of the biggest challenges for teachers. It is quite possible that the use of traditional teaching methods alone will cause indifference in students. Therefore, it is better to use active learning methods so that the lesson is not boring. In this regard, the use of game-based learning technology can increase the motivation of students to learn. Based on the research materials, it can be concluded that the game-based learning method facilitates students' learning and motivates students, allows them to work with classmates, i.e. increases the ability to work in groups, helps to overcome indifference to mathematics, creates a fun learning environment.
Open Access
Application of basic mathematical skills in the analysis of economic examples
(2020 International Young Scholars, 2020) Bolshabek M.M.
Abstract. This article examines the issue of the practical application of mathematical skills in teaching school curricula, namely on topics related to economics, and based on the topic "Statistics". It presents key facts about knowledge and applications of logic in a given situation, for the development of "economic" topics. During the study, a test was conducted based on the topics covered. The relevance of the study is due to the demand by the modern school to strengthen the applied economic orientation in teaching mathematics and considering the introduction of a separate subject "Fundamentals of Economics". The foregoing has served as the basis for choosing a research topic, the purpose of which is to study the application of practical skills of grades 8-10 in the applied economic orientation of teaching mathematics.
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.
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]
Open 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.
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.
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.
Open Access
Effects of formulating math problems on primary students` performance
(2020 International Young Scholars Workshop, 2020) Abdilazim A.; Auyesbay B.
Abstract. In maths classrooms at every level in all countries of the world, students can be observed solving problems. The quality and genuineness of these maths problems has been the theme of many arguments and debates in recent years.In this article we are going to show and compare the performance of primary school students using our experiment. We collected 20 second-grade students and conducted a lesson with traditional way of teaching. At next lesson we had took an examination to check if our students have comprehended the material and got the results. The next lesson they were given tasks to pose problems related to the same topic we had learned last time and took another exam with the same level of difficulty and a slight change of numbers and got the results as well. The change and progress of students impressed us.
Open Access
EFL Teacher’s Perception On Using Self-Regulated Learning Strategies by Senior Grade Students
(2020 International Young Scholars, 2020) Zhetkergenova Zh.E.
Abstract .Shift to autonomous learning changed roles of class actors in EFL classes. Students have learning responsibilities on their own, whereas teachers’ role is considered to be as a consulter. Thus, students need to identify their own learning goals and regulate learning process themselves. All these and other strategies are included to the self-regulation strategies. Zimmerman (1990) found out 14 SRL strategies which influence on academic achievement. However, teachers also need to promote these strategies during and out of classes and encourage EFL learners to use them in different contexts. The qualitative research investigates to what extent EFL teachers of senior grade students encourage their learners to use SRL strategies. In results, the study presents teachers’ more preferable SRL strategies for senior students to achieve academic achievement
Open Access
Factors affecting the college speciality selection of Kazakhstani students
(2020 International Young Scholars Workshop, 2020) Assanbayeva G.
Abstract. In this talk we discuss factors that influence and impact Kazakhstani students when it comes to decide major selection.To analyse and study factors,we surveyed 314 students over 16 universities of Kazakhstan (including private, semi-government and government universities). In the previous joint work with (Assanbayeva & Kadyrov, 2020) factor analysis resulted 9 scales,namely,teacher impact,occupation salary impact,external impact,personal interest impact,personal skills impact,national test impact,university cost impact,parents impact,state grant impact.The main aim of the present work is to investigate main factors that influenced the Kazakhstani students most.The next goal is to find any differences in terms of gender when it comes to major selection factors.As most participants were among Suleyman Demirel University,we also wanted to see if there any differences between factors that influence Suleyman Demirel University students major selection to students of other local universities. The statistical data analysis show that students found themselves to be the most influential by 6 factors out of 9 ,namely,influence of state grant, influence of university cost, occupation salary impact, national test impact, influence of personal interest and influence of personal skills.Findings also suggested that, there is no difference between these 6 factors depending on gender.Also,no differences were found among university and factors.
Open Access
Impact of Artificial Intelligence on Intellectual Property Rights
(2020 International Young Scholars Workshop, 2020) Niteesh K.U.; Mahak R.
Abstract. Artificial Intelligence which seemed to be a distant dream at some point has now come out of the science fiction movies to our reality and has gathered momentum over past few years and has led to many developments in almost all the sectors. No sector will remain untouched by artificial intelligence and Intellectual Property Rights too will not be an exception to the same. The impact of Artificial Intelligence in the field of Intellectual Property Rights will be two ways, on one hand Artificial Intelligence will prove to be an asset in the areas of patent and patent search tools, accurate and timely research, providing a mechanism to sort out inventions and ideas and provide with a mechanism to the innovator on the patents already existing similar to his idea and many other things but on the other hand the Artificial Intelligence might also prove to be a threat to innovation and creativity which is the heart and soul of Intellectual Property Rights. The research paper will discuss in detail about the impact of Artificial Intelligence on Intellectual Property Rights, the pros and cons of Artificial Intelligence on creativity and innovation1 in IPR and will also deal with the future scope of Artificial Intelligence in Intellectual Property Rights.
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?
Open Access
Impact of use of technology in mathematics lessons on student achievement and attitudes
(2020 International Young Scholars Workshop, 2020) Sabyr Zh.
Abstract. These days, it is accepted that when innovation is utilized suitably in study hall guidance, it has a positive effect on understudy accomplishment or achievement. In addition, utilizing innovation in training or showing assists instructors with giving quick input to understudies and inspires dynamic understudy learning, joint effort, and participation. It additionally assists educators with giving individualized learning openings and adaptability for their understudies. About portion of the understudies were undecided in their perspective towards use of development, around 33% of the assemble delighted in using informative advancement in exercise; yet reasonable over a fourth of the understudies imparted negative perspectives towards using enlightening advancement. As far as tendency, about portion of the understudies supported the use of informative advancement in exercise, in a manner of speaking 16.5% of them didn't support the use of development, and reasonable more than 33% of them were uncertain. My study exploring student success with the use of educational technology was conducted using mathematics as the subject, and it could be repeated with other school subjects. The findings in this study can shed light on the use of educational technology for teaching mathematics in similar education systems around the globe, in order to encourage education administrators to implement use of educational technology in mathematics lessons.
Open Access
Microgreens: The Revolutionary Greens
(2020 International Young Scholars, 2020) Vineetha A.
Abstract Microgreens are vegetable greens and herbs that are harvested right after the first set of a plant’s true leaves appear. Many Plants such as broccoli, mustard,etc can be grown as microgreens – consumed right after the first two leaves sprout. However, one needs to be very careful when selecting the plants they choose to cultivate as microgreens.The recent study is conducted with the aim to pinpoint the growth of microgreens .Many of the existing studies proved that the greens are richer in micronutrients.As it is known that the micronutrient malnutrition is a common cause to many of the diseases the knowledge on these types of microgreens are needed as well.
Open 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.
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.
Open Access
Organization of extracurricular work in mathematics
(2020 International Young Scholars Workshop, 2020) Yessirkeppova A.; Yessenbolkyzy A.
Abstract.The article explains the technology for organizing extracurricular activities with students in mathematics and the methodology for their implementation, the general characteristics and benefits of different types of extracurricular activities in developing skills in students.
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.
Open 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”.
Open Access
Public transport payment systems: market survey
(2020 International Young Scholars Workshop, 2020) Zhubatkhan A.; Mussina A.; Aubakirov S.
Abstract. In our research work, we study transport card security issues. One of the questions of our study is its relevance in the world and particular in Kazakhstan. Therefore, in this work, we conducted research on the market of transport cards in the world and Kazakhstan. As part of the study, we searched for answers to the following questions: what technologies are used to accept payment by transport cards, in which countries the electronic ticketing system has been introduced, in which cities of Kazakhstan have electronic ticketing systems been implemented, what technologies are used in Kazakhstan. As a result, we showed that the popularity of using NFC payment in the world and in Kazakhstan is growing. We also analyzed the existing electronic ticketing systems in Kazakhstan, made a comparative analysis and got a comparative table.