Filters

202023
Reset filters

Settings

Subject: 2020 International Young Scholars Workshop ×

Search Results

Now showing 1 - 10 of 23
  • Thumbnail Image
    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.
  • Thumbnail Image
    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.
  • Thumbnail Image
    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.
  • Thumbnail Image
    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.
  • Thumbnail Image
    ItemOpen 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.
  • Thumbnail Image
    ItemOpen Access
    К вопросу обучения бакалавров предпринимательству
    (2020 International Young Scholars Workshop, 2020) Мехмет Таш
    Аннотация .В статье рассматривается актуальность вопросов обучения бакалавров предпринимательской деятельности. Показана актуальность этого знания в условиях Казахстана. При рассмотрении данного вопроса автор опирается на основные государственные программы и документы, определяющие стратегию развития страны, в образовательной сфере в том числе. Отмечается, что проблемы обучения бакалавров педагогической направленности предпринимательству недостаточно исследованы. Между тем, по мнению автора, в настоящее время вопросы рыночного подхода к образованию как никогда актуальны.В статье рассматриваются региональные рынки образовательных услуг, обобщается опыт исследователей о предпринимательстве в области образования. Автор также акцентирует внимание на важности предпринимательских компетенций учителя, при этом замечает, что рассматриваемая проблема требует дальнейшего изучения.
  • Thumbnail Image
    ItemOpen 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.
  • Thumbnail Image
    ItemOpen 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.
  • Thumbnail Image
    ItemOpen 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.
  • Thumbnail Image
    ItemOpen Access
    The effect of active learning method on students’ attitude towards mathematics
    (2020 International Young Scholars Workshop, 2020) Kazmagambet B.; Ibraimova Zh.; Kaimak S.
    Abstract. The world is changing so fast, and therefore education needs to adapt to the challenges of times. In order to update the content of school education in the Republic of Kazakhstan modern trends are going to be used. These trends contain pedagogical methods that can be used to preserve and even increase internal motivation, as active learning. Active learning method is an treatment where students participate or interact with the learning process, as opposed to passively taking in the information. The goal of this study is to identify the impact of active learning method on 10th grade students’ attitude towards mathematics of the students the second semester of the school year 2019-2020. More specifically, it attempted to determine and compare the attitude toward mathematics of students’ exposure to active learning and traditional teaching strategy. The Likert scale used to evaluate the attitude of students toward mathematics. Mean, Cronbach value, T-test were the statistical tools used in anatomizing and interpreting the research data. The discovering showed that the students in the active learning group had auspicious attitude than students in the conventional teaching group. According to the findings after research, we saw the direct relation between attitude and active learning. It is concluded that the students’ attitude toward mathematics was better by using active learning strategy. It is recommended that mathematics teacher should use active learning strategy in order to improve the attitude toward mathematics of the students.