Browsing by Author "Gok, Bilge"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    The Effects of Mental Games on Third Graders' Reading Comprehension Skills in Turkish Classes
    (2022) Erdem, Yasemin; Gok, Bilge; 0000-0002-1548-164X; 0000-0002-1492-8403
    With the study reported on here we set about to reveal the effects of mental games on third graders' reading comprehension skills in Turkish classes. The study group comprised 71 students, 35 of whom were included in the experimental group, and 36 in the control group. The experimental group played simple to difficult mental games selected by the researcher for 2 hours per week for 10 weeks. In the control group, the students continued with the traditional teaching process which excluded the playing of mental games until the end of the semester. Mental games like Whatzizz, detective, Q-bitz, Target 5, six, 3 stone, 9 stone, Skippity, Reversi, Kulami, that correspond to skills such as attention-concentration, reasoning, logical inference, and strategic thinking, were used. The study was conducted as a quasi-experimental pre-test/post-test control group design. The quantitative data were collected through the reading comprehension skill test. The pre-test data and the post-test-data collected through the test constituted the research data. The research data were analysed by using the 2-factor ANOVA test for mixed designs. The post-test scores of the students in the experimental group were higher than those of the students in the control group. The findings obtained from the quantitative analysis indicate that mental games had a positive effect on the Turkish reading comprehension of students in the experimental group as well as positive effects on students' skills such as strategic thinking, logical inference and reasoning.
  • No Thumbnail Available
    Item
    Investigation of the Factors Affecting Teachers' Attitudes towards E-Portfolio Using Data Mining Methods
    (INTERNATIONAL JOURNAL OF TECHNOLOGY IN EDUCATION, 2024) Gok, Bilge; Ayaz, Mahmut; Erdem, Yasemin; Kasap, Yusuf
    This current study aims to determine the factors affecting teachers' attitudes towards e-portfolios by using data mining methods such as the Classification and Regression Tree (CART) algorithm and Random Forest (RF) algorithm. The study group consists of 449 participants willing to participate on a volunteer basis. In the study, the data were collected using the "Scale of Attitude towards E-Portfolio", the "Reflective Thinking Tendency Scale", and the "Scale of Attitude towards Technology". The survey research design, one of the quantitative research approaches, was used in the study. The collected data were analyzed by using the CART and RF analysis methods, two of the data mining methods. It was concluded with the CART method that the variable with the highest predictor importance in predicting the level of (low-high) attitude towards electronic portfolio is the variable of attitude towards technology, while the variable of how teachers see themselves in using technology is with the lowest predictor importance. It was concluded that with the RF model the variable with the highest predictor importance in predicting the level of attitude (low-high) towards electronic portfolio is the variable of attitude towards technology, followed by the variable of reflective thinking tendency, while the variable with the lowest predictor importance is the variable of the type of the graduated university (state- foundation). The results show that the RF method better determines the predictor variables.