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  • 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.
  • ItemOpen Access
    Using Artificial Intelligence Tools in Teaching Students the Elements of Probability and Statistic
    (SDU University, 2025) Hadyabonu M.
    his study explores the affect of integrating Artificial Intelligence tools into teaching the probability and statistics course. The research had two directions to study. First if teachers integrating AI tools for teaching affects students academic performance and second if students usage and their attitudes towards ChatGPT affect their academic performance. The research have been done in one of the universities of Almaty Kazakhstan. There were 74 second year students of engineering faculty studying probability and statistics course. The experiment took 15 weeks and quasi experimental method was used. There were two period of experiment traditional and experimental period, where in experimental period teacher integrated AI tools in process of teaching. Jamovi app have been used to analyse data , with the tests like Shapiro Wilk test, Correlation Matrix and Friedman Anova test. Three hypothesis have been checked for and we could reject the first hypothesis and conclude that teachers integrating AI into their teaching does improve students academic performance. For the two other hypothesis about using and attitude of students toward ChatGPT we could reject both of them partly and conclude that if students use ChatGPT and their attitude towards it have negative correlation with their academic performance. It means the more they use ChatGPT, lower their academic performance and if they have positive attitude their academic performance is lower. The study found the significance of using ChatGPT and other AI tools in probability and statistics course and some challenges that might occur. So instructors should take into account that challenges regarding students use of ChatGPT and guide them properly.