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The purpose of this study was to analyze the newly developed elementary school (grades 1 through 8) mathematics curriculum by considering 5 th grade students' and classroom teachers' views. The analysis of the curriculum was realized in three dimensions; (1) Classroom management -classroom physical and emotional environments, teacher and student roles, and interactions, (2) Instruction -objectives, planning, implementation, method and techniques, instructional media, and measurement and evaluation, and (3) Strengths (and/or benefits) and weaknesses (and/or limitation). Qualitative case study method was utilized with the participation of three elementary school teachers and their forty-three fifth grade students were invited. The responses gathered from the participants were content analyzed and then the codes were categorized. The findings indicated that several changes have been done and reflected into the classroom implementation and student-centered approaches have been incorporated into the instruction. On the other hand, some difficulties emerge during the implementation due to lack of infrastructure.

The aim of this study is to examine the effects of GeoGebra on third grade primary students' academic achievement in fractions concept. This study was conducted with 40 students in two intact classes in Ankara. One of the classes was randomly selected as an experimental group and other for control group. There were 19 students in the experimental group, while 21 students in control group. The matching-only posttestonly control group quasi-experimental design was employed. As a pretest, student's first term mathematics scores were used. Data were collected with post-test about fractions. The post-test consisted of 22 short ended questions. Thanks to the scores weren't violated the normality, independent t test was employed. The findings of the study showed that there were significant differences in favor of the experimental group. According to findings of this study, it was recommended that GeoGebra supporting teaching methods can be used on teaching fractions in third grade.

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In this study, a Fuzzy Kohonen Clustering Networks (FKCN) algorithm is proposed for image segmentation. The large image sizes are in general required for various types of imaging applications. For large amounts of data, computation of Fuzzy Kohonen Clustering Networks (FKCN) algorithm for iterative operation will take a long time. Therefore, it has been attempted to make the FKCN algorithm realistically useful for image segmentation. In this work, a proposed FKCN algorithm will keep the advantage of using this plan. But instead of using image space, a gray level function of image was used for all imaging data. A new algorithm was developed for applications of various images. Good results were taken in a short time for image segmentation.

With the year 2020, the world faced a new threat that affects all areas of life, negatively affects production in all areas and paralyzes social life. The measures and restrictions taken by the country's governments to prevent the epidemic from spreading rapidly in the society with the effect of the coronavirus (Covid-19), which first appeared in China and spread all over the world, brought a new lifestyle. Covid-19 has been much the impact on electricity use and electricity production in the period in Turkey as like other countries. There was a sharp decline in commercial and industrial electricity use. The coronavirus effect has also been reflected in the electricity demand and the consumption amount has undergone a great negative change. Due to the enactment of measures against the new type of coronavirus epidemic and the partial or full-time curfews, electricity consumption was moved to homes, supermarkets and hospitals in April 2020 from places where mass consumption is intense, such as industry, workplaces and educational institutions. In this study, Covid-19 period, the first cases were examined electricity production and consumption in Turkey as of the date it is seen throughout, in comparison with electricity consumption data in the same month of the previous years corresponding to this period, the effects on electricity generation and consumption habits of this period were examined.

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