Veri Yönlendirmeli Öğrenme Yaklaşımının Öğrencilerin Sözcük Edinimleri Üzerindeki Etkisi

This semi-experimental research was conducted to investigate the effects of data-driven learning (DDL) on learners’ achievement and retention of lexical acquisition. Instruction was delivered through a learning management system. The data collection instrument, of which reliability and validity were tested, is a vocabulary knowledge scale. The statistical method used to analyze the data besides the descriptives was Ancova. The results of the study revealed that the learners utilized the data-driven learning tools performed a significant achievement and retention on acquisition of academic words comparing to the control group.Veri Yönlendirmeli Öğrenme Yaklaşımının Öğrencilerin Sözcük Edinimleri Üzerindeki EtkisiBu araştırma, veri yönlendirmeli öğrenme (VYÖ) yaklaşımı ile çevrimiçi sözlük kullanımı yöntemlerinin yabancı dilde sözcük edinimi boyutunda öğrenci başarısına ve başarısının kalıcılığına etkilerini araştırmak amacıyla yapılmıştır. Araştırma yarı deneysel araştırma modeline göre yürütülmüştür. Araştırmanın çalışma grubunu, 2008–2009 öğretim yılında Ankara Üniversitesi Tıp Fakültesi’nde öğrenim gören 68 öğrenci oluşturmuştur. Çalışmanın deney gruplarına çevrimiçi öğrenme ortamı üzerinden eğitim verilmiştir. Veriler, geçerlik ve güvenirlik çalışmaları yapılmış olan, sözcük bilgisi ölçeği ile elde edilmiştir. Elde edilen verilerin çözümlenmesinde, kovaryans ve tanımlayıcı istatistik yöntemleri kullanılmıştır. Araştırma sonucunda, veri yönlendirmeli öğrenme yaklaşımıyla öğrenim gören öğrencilerin akademik sözcükleri edinimleri bağlamında çevrimiçi sözlük kullanan öğrenci grubuna kıyasla daha başarılı oldukları saptanmıştır

Perspective of turkish medicine students on cancer, cancer treatments, palliative care, and oncologists (ares study): A study of the palliative care working committee of the turkish oncology group (TOG)

Cancer is one of the most common causes of death all over the World (Rahib et al. in Cancer Res 74(11):2913–2921, 2014; Silbermann et al. in Ann Oncol 23(Suppl 3):iii15–iii28, 2012). It is crucial to diagnose this disease early by effective screening methods and also it is very important to acknowledge the community on various aspects of this disease such as the treatment methods and palliative care. Not only the oncologists but every medical doctor should be educated well in dealing with cancer patients. Previous studies suggested various opinions on the level of oncology education in medical schools (Pavlidis et al. in Ann Oncol 16(5):840–841, 2005). In this study, the perspectives of medical students on cancer, its treatment, palliative care, and the oncologists were analyzed in relation to their educational status. A multicenter survey analysis was performed on a total of 4224 medical school students that accepted to enter this study in Turkey. After the questions about the demographical characteristics of the students, their perspectives on the definition, diagnosis, screening, and treatment methods of cancer and their way of understanding metastatic disease as well as palliative care were analyzed. The questionnaire includes questions with answers and a scoring system of Likert type 5 (absolutely disagree = 1, completely agree = 5). In the last part of the questionnaire, there were some words to detect what the words “cancer” and “oncologist” meant for the students. The participant students were analyzed in two study groups; “group 1” (n = 1.255) were phases I and II students that had never attended an oncology lesson, and “group 2” (n = 2.969) were phases III to VI students that had attended oncology lessons in the medical school. SPSS v17 was used for the database and statistical analyses. A value of p < 0.05 was noted as statistically significant. Group 1 defined cancer as a contagious disease (p = 0.00025), they believed that early diagnosis was never possible (p = 0.042), all people with a diagnosis of cancer would certainly die (p = 0.044), and chemotherapy was not successful in a metastatic disease (p = 0.003) as compared to group 2. The rate of the students that believed gastric cancer screening was a part of the national screening policy was significantly more in group 1 than in group 2 (p = 0.00014). Group 2 had a higher anxiety level for themselves or their family members to become a cancer patient. Most of the students in both groups defined medical oncologists as warriors (57% in group 1 and 40% in group 2; p = 0.097), and cancer was reminding them of “death” (54% in group 1 and 48% in group 2; p = 0.102). This study suggested that oncology education was useful for the students’ understanding of cancer and related issues; however, the level of oncology education should be improved in medical schools in Turkey. This would be helpful for medical doctors to cope with many aspects of cancer as a major health care problem in this country. © 2018, American Association for Cancer Education

Öğrencilerin Çevrimiçi Derlemlerde Gezinim Süreleri ve Sözcük Edinimleri Arasındaki İlişki

Bu araştırma, öğrencilerin veri yönlendirmeli öğrenme (VYÖ) yaklaşımı ile çevrimiçi sözlük kullanımı yöntemlerinin yabancı dilde sözcük edinimi boyutunda öğrenci başarısına etkilerini çevrimiçi öğrenme ortamlarında gezinme kayıtları bağlamında araştırmak amacıyla yapılmıştır. Araştırma yarı deneysel araştırma modeline göre yürütülmüştür. Araştırmanın çalışma grubunu, 2008– 2009 öğretim yılında Ankara Üniversitesi Tıp Fakültesinde öğrenim gören 68 öğrenci oluşturmuştur. Çalışmanın deney gruplarına çevrimiçi öğrenme ortamı üzerinden eğitim verilmiştir. Veriler, geçerlik ve güvenirlik çalışmaları yapılmış olan, sözcük bilgisi ölçeği ve ilişkili sözcük bilgisi ölçme aracı ile elde edilmiştir. Elde edilen verilerin çözümlenmesinde, kısmi korelasyon analizi yöntemi kullanılmıştır. Araştırma sonucunda, öğrencilerin öğrenme yönetim sisteminde bulunma süreleri ile sözcük ve ilişkili sözcükleri edinimleri arasındaki ilişki bakımından, bulgulara dayalı olarak öğrencilerin sistemde bulunma süreleri arttıkça, sözcük bilgisi düzeyi ile ilgili ölçümlerden elde ettikleri puanlarda artış olduğu gözlenmiştir

The correlation between learners’ logs of navigations through online corpora and lexical competence

Bu araştırma, öğrencilerin veri yönlendirmeli öğrenme (VYÖ) yaklaşımı ile çevrimiçi sözlük kullanımı yöntemlerinin yabancı dilde sözcük edinimi boyutunda öğrenci başarısına etkilerini çevrimiçi öğrenme ortamlarında gezinme kayıtları bağlamında araştırmak amacıyla yapılmıştır. Araştırma yarı deneysel araştırma modeline göre yürütülmüştür. Araştırmanın çalışma grubunu, 2008– 2009 öğretim yılında Ankara Üniversitesi Tıp Fakültesinde öğrenim gören 68 öğrenci oluşturmuştur. Çalışmanın deney gruplarına çevrimiçi öğrenme ortamı üzerinden eğitim verilmiştir. Veriler, geçerlik ve güvenirlik çalışmaları yapılmış olan, sözcük bilgisi ölçeği ve ilişkili sözcük bilgisi ölçme aracı ile elde edilmiştir. Elde edilen verilerin çözümlenmesinde, kısmi korelasyon analizi yöntemi kullanılmıştır. Araştırma sonucunda, öğrencilerin öğrenme yönetim sisteminde bulunma süreleri ile sözcük ve ilişkili sözcükleri edinimleri arasındaki ilişki bakımından, bulgulara dayalı olarak öğrencilerin sistemde bulunma süreleri arttıkça, sözcük bilgisi düzeyi ile ilgili ölçümlerden elde ettikleri puanlarda artış olduğu gözlenmiştir.The current study investigated the relationship between students‘ lexical competence and their logs of online corpora embedded to a learning management system. The participants of the study were 68 undergraduate students enrolled in a medical school at a Turkish state university. The instruction was delivered through Moodle. The data collection instruments were a vocabulary knowledge scale and a collocation test both revealing ideal reliability and validity indices. Partial correlation was conducted to analyze the data. Findings revealed that there was a positive correlation between the durations of language learners‘ navigations of online corpora and their acquisitions of academic words and prepositional phrases

The Effect of Data-Driven Learning Approach on EFL Learners' Lexical Acquisition

WOS: 000283638800014This semi-experimental research was conducted to investigate the effects of data-driven learning (DDL) on learners' achievement and retention of lexical acquisition. Instruction was delivered through a learning management system. The data collection instrument, of which reliability and validity were tested, is a vocabulary knowledge scale. The statistical method used to analyze the data besides the descriptives was Ancova. The results of the study revealed that the learners utilized the data-driven learning tools performed a significant achievement and retention on acquisition of academic words comparing to the control group

Phonem-Based Isolated Turkish Word Recognition With Subspace Classifier

IEEE 17th Signal Processing and Communications Applications Conference -- APR 09-11, 2009 -- Antalya, TURKEYWOS: 000273935600091In this studs,, phoneme-based isolated Turkish word recognition with Common Vector Approach (CVA) has been performed. CVA has been used to classify phonemes. The phoneme sequence obtained from the classification is decoded into the word using redundant hash addressing (RHA). The phoneme-based speech recognition is more suitable than the word-based speech recognition for implementing applications that use different words in their dictionaries. For that reason in this study the CVA is evaluated to see whether it could be used in phoneme-based word recognition or not. In the experimental study we obtained the word recognition rates 70-80% from random v selected words in METU database. It might be possible to obtain higher recognition rates by improving the CVA and by using different word decoding techniques.IEE

3D sound source localization with fiber optic sensor array based on genetic algorithm

Sound source localization (SLL), which is an area of multi-point acoustic detection, has always been an important research topic since it has been employed in many applications. It has been notable to use fiber optic sensors in the SSL due to the advantages compared to traditional sensors. In this paper, a fiber optic sensor array is obtained with sensor tips formed with polymer-based diaphragm material, which is low cost and easy to manufacture. The SSL process has been experimentally verified in the measurement medium with a volume of 1 m3. Both constant frequency sound signals and speech signals were used in experimental measurements. The signals received from the sensors were processed by using the genetic algorithm, and the average distance to the source was calculated in 3D with an error of 0.0248 m. In the measurements, results were obtained at very close distances to the sound source, such as 0.0032 m, 0.0046 m, 0.0071 m. © 2020 Elsevier Inc

Fiber optic tactile sensor for surface roughness recognition by machine learning algorithms

In this study, a sensor tip with a metallic hemispherical nozzle tip (MHNT) design based on the Fabry-Perot interferometer was developed for surface roughness recognition (SRR). Sandpaper samples with ten different arithmetical mean deviations of the surface (Sa) values were used as surfaces to be recognized. The feature vectors were found by applying the discrete wavelet transform (DWT) to the analog signals obtained from the sandpaper samples. Machine learning (ML) algorithms K-nearest neighbor (KNN) and support vector machine (SVM) were used for classification. An in-depth recognition process was carried out using the classifiers’ different length criteria and kernel types. In the test process, each category consists of two sub-categories as testing within the training dataset (TWITD) and testing without the training dataset (TWOTD). The experiments were carried out in a controlled manner with the conveyor belt system (CBS) and manual. As a result of the experimental studies, the average recognition rates (Rave) for CBS were found as 84.2% and 81.6% for TWITD and TWOTD, while the Rave for the manual are found as 80% and 77.5% for TWITD and TWOTD, respectivel

An F-Score-Weighted Indoor Positioning Algorithm Integrating WiFi and Magnetic Field Fingerprints

Indoor positioning systems have attracted much attention with the recent development of location-based services. Although global positioning system (GPS) is a widely accepted and accurate outdoor localization system, there is no such a solution for indoor areas. Therefore, various systems are proposed for the indoor positioning problem. Fingerprint-based positioning is one of the widely used methods in this area. WiFi-received signal strength (RSS) is a frequently used signal type for the fingerprint-based positioning system. Since WiFi signal distribution is nonstationary, accuracy is insufficient. Therefore, the performance of indoor positioning systems can be enhanced using multiple signal types. However, the positioning performance of each signal type varies depending on the characteristics of the environment. Considering the variability of the performances of different signal types, an F-score-weighted indoor positioning algorithm, which integrates WiFi-RSS and MF fingerprints, is proposed in this study. In the proposed approach, the positioning is first performed by maximum likelihood estimation for both WiFi-RSS and magnetic field signal values to calculate the F-score of each signal type. Then, each signal type is combined using F-score values as a weight to estimate a position. The experiments are performed using a publicly available dataset that contains real-world data. Experimental results reveal that the proposed algorithm is efficient in achieving accurate indoor positioning and consolidates the system performance compared to using a single type of signal

X ve Ku Bandı İçin Dikdörtgen Ve Simetrik L-Şekilli Yarıklara Sahip Çoklu Bant Yama Antenlerde Malzeme Etkileri

Bu çalışmada içeriden beslemeli X bandında çalışan yeni bir dikdörtgen yama anten yapısı önerilmiştir. Üzerinde yapılan tasarım işlemleri ile antenin, tek bantta çalışan geleneksel mikroşerit yama antenden X bandı ve Ku bandında çalışan bir çoklu frekans antene dönüştürülmesi anlatılmıştır. Önerilen yapı dielektrik sabiti 2,2 olan RT5880 ve dielektrik sabiti 4,3 olan FR4 alt tabakalar üzerinde tasarlanmış ve farklı malzemelerde tasarımın geçerliliği gösterilmiştir. Ayrıca önerilen yapının farklı malzemeler için nasıl cevap verdiği araştırılmış, FR4 malzemesi için 8 GHz bandında 183 MHz’lik bir band genişliği artışına ilaveten daha yüksek frekans bölgelerinde ek rezonanslar ile uyarıldığı görülürken, RT5880 malzemesi için ise sadece 8 GHz bandına ek rezonansların uyarıldığı bulunmuş fakat bütün frekans bölgesi için anten kazancı bakımından daha kararlı bir çalışma sergilediği sonucuna varılmıştır. Yeni anten modeli FR4 tabanı ile tasarlandığında 8,52 GHz, 11,42 GHz ve 13,44 GHz frekanslarında rezonansa sahipken RT5880 tabanı ile tasarım yapıldığında rezonansların 8,51 GHz, 10,53 GHz ve 11,57 GHz frekanslarında sadece X bandında kaldığı görülmüştür. Ayrıca bu çalışma frekansları için anten kazançları FR4 tabanı için 8,52 GHz’de 7,16 dBi, 11,42 GHz’de 3,70 dBi ve 13,44 GHz’de 7,09 dBi; RT5880 tabanı için 8,51 GHz’de 8,07 dBi, 10,53 GHz’de 7,55 dBi ve 11,57 GHz’de 7,38 dBi olarak bulunmuştur