216 research outputs found

    Türk Dili ve Anlatım 9. sınıf ders kitabı

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    #nofulltext# --- Yelten, Muhammet (Arel Author)

    Ibrahim el-Antaki's divan called Burhanul-Burhan-examination and verification

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    Doktora TeziBu araştırma, Arap ve İslam kültür mirasına katkı sağlamak amacıyla, şair İbrahim el-Antaki'nin (H. 926-M. 1520) "Burhanu'l-Burhan" adlı divanının yazma nüshasını incelemektedir. Başka bir eseri bulunmayan ve çok tanınmayan yazarın bu eseri, araştırmacılar ve muhakkikler tarafından yeterince ele alınmamıştır. Yazarın şiirleri dönemin toplumsal yapısını, halk kültürünü, geleneklerini ve karakteristik özelliklerini yansıtmasına rağmen, eser uzun süre yazarına atfedilmemiştir. Divan, dönemin toplumsal entelektüel seviyesini ortaya koyması ve günümüz kültürüyle karşılaştırma imkânı sunması bakımından önem arz etmektedir. Araştırmada bilimsel inceleme ilkeleri ve tahkik kuralları çerçevesinde yazarın biyografisi, eserin yazara aidiyeti, divanın anlaşılmayan kasidelerinin ve aruz vezinlerinin tespiti, divandaki aruz, dil ve gramer hatalarının tashihi ile şiirlerdeki Beyan ve Bediî sanatlarının özellikleri incelenmiştir.This research examines the manuscript of the divan named "Burhanu'l-Burhan" by poet Ibrahim al-Antaki (H. 926-A.D. 1520) in order to contribute to the Arab and Islamic cultural heritage. This work of the author, who has no other works and is not very well known, has not been sufficiently studied by researchers and scholars. Although the author's poems reflect the social structure, folk culture, traditions and characteristic features of the period, the work has not been attributed to its author for a long time. The divan is important in terms of revealing the social intellectual level of the period and providing an opportunity for comparison with today's culture. In the research, the following issues were addressed within the framework of scientific examination principles and investigation rules: the author's biography, the work's belonging to the author, the detection of the divan's incomprehensible odes and aruz meters, the correction of aruz, language and grammar errors in the divan, and the characteristics of the arts of Beyan and Bediî in the poems were examined

    Turkish efl preparatory class students' and teachers' attitudes towards distance education

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    The technological improvements have brought new facilities into language education and distance education is one of them. However, distance education has become a must for every step of education during the COVID-19 pandemic, and teachers and students were required to adapt to this process. This unexpected situation has had different effects on both teachers and students, and their attitudes have also been effected. Hence, revealing the attitudes of preparatory class students and teachers towards distance education and the relationship between the demographic variables of students and their attitudes were the main purposes of this study. The participants of the study are 300 students and 20 teachers from English preparatory class in Istanbul. In order to reveal the attitudes of students, the attitude questionnaire was administered to the participants. 20 students and 20 teachers were interviewed to specify their attitudes towards distance education. The quantitative data were analyzed with the help of SPSS, Independent Sample T-test, One-way ANOVA and Scheffe’s Test, while the qualitative data were subjected to content analysis. The findings of the study demonstrated that the attitudes of both students and teachers towards distance education were positive. There was a statistically significant difference between students’ attitudes and gender, age, English proficiency level and computer access. Nevertheless, there was no statistically significant difference between their attitudes and internet usage duration, previous distance education experience and high school types.Teknolojik gelişmeler dil eğitimine yeni kolaylıklar getirmiştir ve uzaktan eğitim de bu kolaylıklardan biridir. Ancak COVID-19 salgını sürecinde eğitimin her aşaması için uzaktan eğitim bir zorunluluk haline gelmiş ve bu süreçte öğretmen ve öğrencilerin buna uyum sağlaması gerekmiştir. Bu beklenmedik durum hem öğretmenler hem de öğrenciler üzerinde farklı etkiler yaratmış ve onların tutumları da etkilenmiştir. Dolayısıyla hazırlık sınıfı öğrencilerinin ve öğretmenlerinin uzaktan eğitime yönelik tutumlarını ve öğrencilerin demografik değişkenleri ile tutumları arasındaki ilişkiyi belirlemek bu çalışmanın temel amacını oluşturmuştur. Araştırmanın katılımcıları İstanbul'da İngilizce hazırlık sınıfından 300 öğrenci ve 20 öğretmendir. Öğrencilerin tutumlarını belirlemek için her birine tutum ölçeği uygulanmıştır. Ayrıca, 20 öğrenci ve 20 öğretmen ile uzaktan eğitime yönelik tutumlarını belirlemek için görüşme yapılmıştır. Nicel veriler SPSS, bağımsız grup t testi, tek yönlü ANOVA ve Scheffe testi yardımı ile analiz edilirken nitel veriler ise içerik analizi ile analiz edilmiştir. Araştırmanın bulguları hem öğrencilerin hem de öğretmenlerin uzaktan eğitime yönelik tutumlarının olumlu olduğunu göstermiştir. Öğrencilerin tutumları ile cinsiyet, yaş, İngilizce yeterlilik düzeyi ve bilgisayar erişimi arasında anlamlı bir ilişki bulunmuştur. Bununla birlikte öğrencilerin tutumları ile internet kullanım süreleri önceki uzaktan eğitim deneyimi ve lise türleri arasında anlamlı bir ilişki bulunamamıştır

    Experimental and theoretical investigation of the fluid behavior during polymeric fiber formation with and without pressure

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    The fabrication of polymeric micro/nanofibers is gaining attention due to their use in an array of applications including tissue engineering scaffolds, nanosensors, and fiber-reinforced composites. Despite their versatile nature, polymeric fibers are widely underutilized due to the lack of reliable, large-scale production techniques. Upon the discovery of centrifugal spinning and, recently, pressurized gyration techniques, new research directions have emerged. Here, we report a comprehensive study detailing the optimal conditions to significantly improve the morphology, homogeneity, and yield of fibers of varying diameters. A series of polymeric fibers was created using a 21 wt.% solution of polyethylene oxide in distilled water and the fluid behavior was monitored inside a transparent reservoir using a high-speed camera. Fabrication of the fibers took less than 1 s. Using centrifugal spinning, we studied the formation of the fibers at three different rotational speeds, and for pressurized gyration, one rotational speed was studied with three different nitrogen gas pressures. Using the pressurized gyration technique at a gas pressure of 0.3 MPa, there was significant improvement in the production yield of the fibers. We found a strong correlation between the variation of pressure and the rate of the solution leaving the reservoir with the improved morphology of the fibers. The use of reduced power techniques, like centrifugal spinning and pressured gyration, to yield high-quality nonwoven nanofibers and microfibers in large quantities is important due to their use in rapidly expanding markets. (C) 2019 Author(s)

    Examination of secondary school students attitudes to physical education and sports class according to the hours offered in the course schedule

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    Lisansüstü Eğitim Enstitüsü, Beden Eğitimi ve Spor Ana Bilim DalıBu çalışmanın amacı; Ortaokul öğrencilerinin Beden eğitimi ve spor dersine yönelik tutumlarının ders programındaki yapılma saatine göre etkisi olup olmadığını incelemektedir. Çalışmaya,2021-2022 eğitim-öğretim yılında İstanbul/Pendik İlçesi Muhsin Yazıcıoğlu Ortaokulundan 5.6.7. ve 8. sınıf öğrencileri gönüllü olarak katıldı. Çalışma da iki ayrı veri toplama aracı kullanıldı. Veri toplama araçlarının birincisi araştırmacı tarafından oluşturulan katılımcıların demografik bilgilerinin yer aldığı 10 soruluk kişisel veri formu, diğeri ise katılımcıların Beden eğitimi dersine karşı tutumlarını belirlemek amacı ile Güllü ve Güçlü (2009) tarafından geliştirilen ve 35 sorudan oluşan "Beden Eğitimi Dersi Tutum Ölçeği'' kullanıldı. Elde edilen veriler, istatistiksel olarak işlenebilmesi için Microsoft Excell'de düzenlendi. SPSS paket programı ile incelenen veriler normal dağılım gösterdiğinden dolayı ikili grup karşılaştırmalarında "Bağımsız Örneklem T Testi", çoklu grup karşılaştırmalarında ise "Tek Yönlü Varyans Analizi" testi uygulandı. Sonuçlar p<.005 anlamlılık düzeyine göre yorumlandı. Analiz sonuçları incelendiğinde ilk dönem derse ilişkin tutumların kararsızlık düzeyinde, ikinci dönem ortalamasının ise katılıyorum düzeyine yükseldiği belirlenmiştir. İkinci dönem ders programında değişiklik yapılarak birinci yarıyıl döneminde ilk saatlerde yapılan dersler ikinci yarıyıl döneminde ders programının son saatlerine alınmıştır. Bu değişim ikinci yarıyıl döneminde Beden eğitimine ilişkin olumlu tutumun gelişmesine katkı sağlamıştır. Günün saatine bağlı olarak öğrencilerin Beden Eğitimi dersine karşı tutumları arasında anlamlı bir farklılık olduğu tespit edilmiştir.The aim of this study; It examines whether secondary school students' attitudes towards physical education and sports lessons have an effect according to the time in the curriculum. 5th, 6th, 7th and 8th grade students from Muhsin Yazıcıoğlu Secondary School in Istanbul/Pendik District in the 2021-2022 academic year participated voluntarily. Two separate data collection tools were used in the study. The first of the data collection tools is the 10 question personal data form, which includes the demographic information of the participants, created by the researcher. On the other hand, the "Physical Education Attitude Scale" consisting of 35 questions developed by Güllü and Güçlü (2009) was used to determine the attitudes of the participants towards the Physical Education lesson. The obtained data were arranged in Microsoft Excel for statistical processing. Since the data analyzed with the SPSS package program showed normal distribution, the "Independent Sample T-Test" was applied in paired group comparisons and the 'One-Way Analysis of Variance" test was applied in multi-group comparisons. The results were interpreted according to the significance level of p<.005. When the results of the analysis were examined, it was determined that the attitudes towards the course in the first semester increased to the level of indecision, and the average of the second semester increased to the level of agree. By making changes in the second semester curriculum, the lessons given in the first hours of the first semester were taken to the last hours of the curriculum in the second semester. This change contributed to the development of a positive attitude towards physical education in the second semester. It has been determined that there is a significant difference between the attitudes of the students towards the Physical Education lesson depending on the time of the day

    Turkish-addressed social sciences citation index articles: What does the big picture tell us?

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    This study investigates articles in the SSCI written in the English language and published in the ‘Education & Educational Research’ area between 1980 and 2019. In the study, bibliometric methods were used to detect the number of SSCI articles published worldwide, and also the articles with a Turkish author address entered, meaning at least one author provided Turkey as their location. In addition, analysis was conducted according to various variables (e.g., research areas, publication year, number of authors, and source titles). The bibliometric data were obtained from the Web of Science Core Collection database. With regards to the ‘Education & Educational Research’ area, the analysis indicated the dominance of English-speaking countries in terms of the number of SSCI-indexed articles and those that had been cited the most. This finding appears to be affected by the majority of journals indexed in SSCI only accepting articles written in the English language. In terms of the number of SSCI articles published in the area of ‘Education & Educational Research’, Turkey was shown to be ranked seventh worldwide. Within Turkey, the number of SSCI articles for the ‘Education & Educational Research’ area ranked second, after ‘Business & Economics’. In comparison to the overall worldwide trend, the study's findings suggest that Turkish researchers have a tendency towards publishing their articles in mainly Turkey-originated journals with low impact factors. Factors that may affect this tendency and the potential implications of these findings are discussed, together with the limitations of the study and suggestions for further research. © 202

    Examining relations between physics-related personal epistemology and motivation in terms of gender

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    0000-0003-4222-7468WOS: 000467779300010The gender gap continues to exist in physics education. The author examines the gender-related differences in the relations and strengths among personal epistemologies, motivation, and achievement in physics among Turkish high school students. Established questionnaires were used to identify students' personal epistemologies, motivations and achievement in physics. A total of 567 ninth-grade students from three high schools in Mugla Province in Turkey participated in the study. Multigroup structural equation modeling was used to determine the gender differences in the relations and strengths among personal epistemology, motivation, and achievement in physics. Results from the structural equation modeling showed that students' personal epistemologies directly predicted their motivation and indirectly their achievement in physics. Multigroup structural equation modeling analysis showed that the strength of the relations between personal epistemology and motivation varied for female and male students. Implications for future directions are discussed

    The Impact of Text Representation and Preprocessing on Author Identification

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    Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text representation approaches and use of preprocessing steps are considered for author identification problem. This paper aims to comprehensively examine the impact of text representation and preprocessing steps on author identification specifically for Turkish language. For this purpose, the contributions of all possible combinations of different text representation approaches, namely unigram and bigram, together with the preprocessing tasks, including stemming and stop-word removal, to the performance of author identification are investigated. For the experimental evaluation, a brand new dataset is constituted. Also, two different classification algorithms, namely Multinomial Naive Bayes and Sequential Minimal Optimization, are employed. The results of the experimental analysis reveal that using bigram features alone should be avoided. Besides, it is shown that stop-words should be kept inside the text while stemming can be preferred depending on the classification algorithm so that higher performance can be achieved for author identification.Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text representation approaches and use of preprocessing steps are considered for author identification problem. This paper aims to comprehensively examine the impact of text representation and preprocessing steps on author identification specifically for Turkish language. For this purpose, the contributions of all possible combinations of different text representation approaches, namely unigram and bigram, together with the preprocessing tasks, including stemming and stop-word removal, to the performance of author identification are investigated. For the experimental evaluation, a brand new dataset is constituted. Also, two different classification algorithms, namely Multinomial Naive Bayes and Sequential Minimal Optimization, are employed. The results of the experimental analysis reveal that using bigram features alone should be avoided. Besides, it is shown that stop-words should be kept inside the text while stemming can be preferred depending on the classification algorithm so that higher performance can be achieved for author identification

    Data mining through data visualization: a case study on predicting churners on telecomunications data set

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    Başarslan, Muhammet Sinan (Dogus Author)Data mining is the process of extracting meaningful information from a large, raw data. These processes are carried out by various, detailed methods. And, the obtained results are used to make various interpretations and to draw conclusions. Deductions can either be made by interpreting the data after various operations or by plotting the data in various forms of graphs. This type of interpretation over graphics is called data mining through data visualization. Generating graphs that can be used to draw various conclusions on a telecommunications data set with the help of some packages included in the R program is presented in the paper. It does not require upper-level math skills to interpret these graphics; and everyone having knowledge about the industry and data set of the graphs has the ability to plot similar graphs and make analysis and interpretations regarding the results obtained on the data set at hand. In this study, R language was preferred as the software infrastructure for data mining applications, and graphs were plotted for interpretation through data visualization with data mining

    Açık kaynak kodlu veri madenciliği programları: R’da örnek uygulama

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    Başarslan, Muhammet Sinan (Dogus Author)The processes on the way from raw data to meaningful information is called data mining. The data is processed by applying various methods of data mining in order to extract hidden information among raw data. The processed raw data becomes usable in the next steps of data mining. There are many open source and commercial applications to be used in data mining and data processing. In this study, information about data mining programs are given, and a case study on the R program. The R program has been chosen because it has a large preference rate among the users as shown by various graphs.Ham verilerden anlamlı bilgilere geçiş sürecine veri madenciliği denir. Veri, ham veriler arasında gizli bilgileri çıkarmak için çeşitli veri madenciliği yöntemleri uygulanarak işlenir. İşlenmiş ham veriler, veri madenciliğinin bir sonraki aşamasında kullanılabilir hale gelir. Veri madenciliği ve veri işlemede kullanılmak üzere birçok açık kaynak ve ticari uygulama vardır. Bu çalışmada veri madenciliği programları hakkında bilgi verilmiş ve R programı üzerinde bir vaka çalışması sunulmuştur. R programı, çeşitli grafiklerle de gösterildiği üzere kullanıcılar arasında büyük bir tercih oranına sahip olması dolayısıyla seçilmiştir
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