Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleAçık Erişim2020
    Attitudes of Students Taking Digital Literacy Course Through Distance Education Towards E-Learning

    Kaban, Abdullatif; Bilen, Omer

    Today, it is seen that higher education institutions have entered the digital transformation process and want to provide their students with digital literacy experience. In order to contribute to the successful completion of this transformation, there is a need to determine the attitudes of students towards e-learning. Pilot implementations by the Councilof Higher Education are seen as an opportunity to benefit from the experiences gained from digital literacy courses. In this study, it was aimed to determine the attitudes of students taking digital literacy course with distance education towards e-learning and to examine them in terms of independent variables. For this purpose, in this study, the survey model, one of the quantitative research methods, was used. The data of the research were collected by using the e-learning attitude scale applied to students who took the digital literacy course in Bayburt University in the Spring semester of 2018 -2019 academic year. The data obtained were analyzed using the SPSS program and the necessary statistical results were edited. As a result of the analysis, it was concluded that the attitudes of students who took the digital literacy course towards e-learning were at a medium level. It was determined that the gender of the participants, the department they are affiliated with, andthe digital literacy course midterm exam gradeaffect the attitude towards e-learning. In addition to this result, it was observed that the grade level and the overall weighted average did not affect the attitude. In line with the results obtained, it has been suggested that other coursescan be given by distance education for students who will take the digital literacy course.It is thought that the results obtained will contribute to universities and digital literacy course content planners who are experiencing digital transformation.

    • SDG 4 · Nitelikli Eğitim
    AtıfOpenAlex1TR Dizin2
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  • MakaleAçık Erişim2020
    E-Tailer Success Factors: an Investigation of the Relationship Between Resources, Competitiveness and Performance

    Kara, Adnan

    In the 21 century, retailing is an important part of the economy. E-tailers are an emerging innovativeaspect of retailing. With e-tailers, geographic boundaries are eliminated and a wider range of services can beprovided to consumers. Parallel to these developments, the number of competitors in the e-tailers sector isincreasing and the sector is in a more rigorous competitive environment. The secret to being successful in thismarket, where stronger can survive, is difference from traditional business at some point. The success factorsof e-tailers need to be handled separately for reasons such as cost structures being different and being totallytechnology-oriented. In this study, success factors that affect the performance of e-retailers are examined. Etailperformance in research; organizational learning is explained by inimatibility and core competencies. Inaddition, internet marketing involvement and competition intensity are considered as control variables. In theresearch model, it is assumed that there is a relationship between resources and market power, market powerand performance. The data of the research was collected through online questionnaire from the universitystudents and staff selected by easy sampling. The research model was tested with structural equation modeling.As a result of the research, it has been determined that organizational learning and basic competencies affectthe market power. The original contribution obtained with this study is to show that the determinants ofperformance for e-tailers are the resources they have. The limitations of the research are that it cannot begeneralized to large masses due to the sample. In addition, the premium pricing of e-tailers selected forperformance measurement made it difficult to obtain an objective finding, because it was perceived as asubjective expression that varies according to personal preferences. In future studies, it is recommended thatthe use of price satisfaction related to the performance of e-tailers.

  • MakaleAçık Erişim2020
    Sanal Gerçeklik Teknolojilerinin Ortaokulda Kullanım ve Tercih Durumlarının Belirlenmesi

    Yıldırım, Gürkan; Yıldırım, Serkan

    Sanal gerçeklik (SG) teknolojileri bilgisayar tarafından üretilen üç boyutlu gerçekçi bir simülasyon deneyimi olarak tanımlanabilir. Günlük hayatın içindeki yerini almaya başlamış bu teknolojilerin öğretimsüreçlerindeki etkilerininincelenmesi ve muhtemel kullanım tercihlerinin belirlenmesi önemli görülmektedir. Bu bağlamda mevcut araştırma kapsamında gelecekte bu teknolojiyi kullanacak olan ortaokul öğrencilerinin SGteknolojilerinin kullanımsüreçlerineve kullanım tercihlerine yönelik görüşlerinin belirlenmesi amaçlanmıştır. Bu amaç doğrultusunda nitel araştırma yöntemlerinden biri olan durum çalışması tercih edilmiştir. Çalışma grubunu amaca uygun olarak seçilen 10 erkek 19 kız olmak üzere toplam 29 ortaokul öğrencisi oluşturmaktadır. Verilerin toplanmasında araştırmacılartarafından geliştirilen yarı yapılandırılmış görüşme formu kullanılmıştır. Veriler içerik analizi yöntemiyle incelenmiş vegörüşler belirlenen kod ve kategoriler altında toplanmıştır. Araştırma kapsamında SGteknolojilerinin ortaokul düzeyinde yüksek düzeyde tanındığı ancak kullanım açısından yeterince tecrübe edilmediği görülmüştür. Bunun yanı sıra SGteknolojilerinin özellikle eğlence ve eğitim amaçlı kullanılmak istendiği belirlenmiştir. Ayrıca eğitsel amaçlı SGkullanımında özellikle bilişim teknolojileri, fen bilimleri ve sosyal bilgiler alanlarında etkili olabileceğinin düşünüldüğü görülmüştür. Bu derslerin seçilmesinde özellikle somut öğrenme yaşantıları geliştirilmesi ihtiyacının önemli bir etkisinin olduğu söylenebilir. Buna ek olarak SGteknolojilerinin etkili ve eğlenceliöğrenme yaşantıları geliştirmede önemli olabileceği söylenebilir.

    • SDG 4 · Nitelikli Eğitim
    AtıfOpenAlex3TR Dizin3
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  • MakaleAçık Erişim2020
    Design, Simulation and Comparison of Controllers for Temperature Profile Tracking Control of a Heat Flow System

    Can, Kaan; Sekban, Hayriye Tuğba; Orman, Kamil; Başçi, Abdullah

    In this paper, the design, simulation and performance comparison of the three different controllers applied to the heat flow system (HFS) are presented. First, the dynamic model of the HFS was obtained and so as to test the temperature control, sliding mode controller (SMC), adaptive sliding mode controller (ASMC) and adaptive fractional order sliding mode controller (AFOSMC) are designed and applied. To analyse the performance of the designed controllers a simulation environment is developed via the Matlab/Simulink software. The results, obtained through a simulation environment are represented by tracking error, adaptation gain, response to sudden changes, maximum overshoot, rise time and settling time and they showed that the heat flow system follows the reference temperature profile trajectory with less errors, overshoot, rise time and settling time by using the AFOSMC than the other controllers. Also, the maximum errors, rise time and settling time occurred when the sliding mode controller is used.

  • MakaleYalnız künye2019
    Borsa endeksi hareketlerinin makine öğrenme algoritmaları ile tahmini

    Pabuçcu, Hakan

    Finansal zaman serilerinin barındırdığı belirsizlik, kaotik hareketler yanında doğrusal olmayandinamik yapı, tahminleri oldukça güçleştirmektedir. Borsa endekslerinin politik değişimler,ekonominin genel görünümü, yatırımcıların beklenti ve yatırım tercihleri ve diğer endekslerinhareketleri gibi birçok makroekonomik faktörden etkilenmeleri, endeks tahminlerini oldukça zorancak bir o kadar da çekici kılmaktadır. Borsa endeksi hareketleri ve geleceğe dönük tahminlerüretmede makine öğrenme algoritmalarının başarılı oldukları bilinmektedir. Bu çalışmada BIST 100endeksi hareketlerinin yönünün tahmin edilmesi problemi ele alınmıştır. Üç farklı makine öğrenmealgoritması olan yapay sinir ağları, destek vektör makineleri ve naive Bayes sınıflandırıcı algoritmasıkullanılmış ve performansları karşılaştırılmıştır. Borsa endeksi tahminleri için kullanılan on teknikgösterge modeller için girdi olarak kullanılmıştır. Veri seti 2009-2018 periyodunu kapsayan günlükkapanış değerlerini içermektedir. Analiz sonuçları, her üç modelin de borsa endeks hareketleriniyakalamada kullanılabilir olduğunu, yapay sinir ağı algoritmasının ise daha iyi bir sınıflandırıcıolduğunu göstermiştir.

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  • MakaleAçık Erişim2019
    A Mixed Integer Linear Programming Model for Finding Optimum Operating Conditions of Experimental Design Variables Using Computer-Aided Optimal Experimental Designs

    Özdemir, Akın

    Computer-aided optimal experimental designs are an effective quality improvement tool that provides insights of information under various quality engineering problems. In the literature, considerable attention has been focused on maximizing the determinant of the information matrix in order to generate optimal design points. However, minimizing the average prediction based on the I-optimality criterion is more useful than commonly used D-optimality criterion for a number of situations. In this paper, special experimental design situations are explored where both qualitative and quantitative input variables are considered for an irregular design space with the pre-specified number of design points and the first-order polynomial model. In addition, this paper lays out the algorithmic foundations for the proposed D- and I-optimality criteria embedded mixed integer linear programming models in order to obtain optimal operating conditions using the first-order response functions. Comparative studies are also conducted. The results show that the proposed model for the D-optimality is able to identify approximately 30% smaller standard deviation value than the traditional counterpart. The proposed model for the I-optimality also provides a feasible solution whereas there is no optimum solution for the traditional counterpart.

    AtıfOpenAlex5TR Dizin1
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  • MakaleAçık Erişim2019
    Efficient Deployment of Energy Antenna for Sensor Nodes with RF Charging

    Tabakcıoğlu, Mehmet Barış; Zorlu, Ahmet; Kosunalp, Selahattin

    A sensor node has processor, antenna, sensor and energy units. A large number of sensor nodes generateswireless sensor network (WSN). The main problem of WSN is limited-energy. A great number of MACprotocols are introduced to compensate the energy problem. In order to supply energy to sensor nodes, anexternal solar panel, wind turbine and energy harvester are added to the architecture of the nodes. Moreover,wireless energy transfer is used to meet the energy problem of sensor node. Position, height and operatingfrequency of energy antenna is so important to charge the sensor nodes efficiently. In this study, ray theoreticalmodels are used to calculate the electric field and generate the coverage map. As the energy antenna is deployedto optimum place, charging will complete in a short time.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
  • MakaleAçık Erişim2019
    A Problem-Solving Environment to Teach Students Assembly Line Balancing Techniques

    Yılmaz, Hamid; Demir, Yunus

    Assembly line balancing is a production planning strategy that has been widely used in industrial applications.Most line balancing problems are known as nondeterministic polynomial time (NP-hard) problem, and theyhave different structures and solution methodology approaches. In this study, newly developed productionplanning software which is called Visual Assembly Line Balancing Software (VALBS) is introduced foreducational purposes. The aim of the software is to support teaching activity for assembly line balancingtechniques; facilitate understanding characteristics of different assembly lines and solution approaches, andenable to compare the results of them. The proposed VALBS is easy to use in various manufacturingenvironments, and suitable to support teaching line balancing procedures in undergraduate students. Thesoftware was used in classes of industrial and mechanical engineering students and feedbacks of studentsmeasured by Likert Scale survey. The results show that proposed visual software is an effective method to teachline balancing procedures.

    • SDG 4 · Nitelikli Eğitim
  • MakaleYalnız künye2018
    The using of video files as a lesson finalizer in the e-books developed for tablets: a design-based research

    Yıldırım, Gürkan; Karaman, Selçuk

    Today, significant improvements are experienced in e-book and tablet computer technologies as in direct proportion to each other. These technologies are often found place for theirselves in educational environments. Positive developments in this direction are also experienced in our country. From this point of view, the use of existing technologies that are becoming increasingly widespread in learning environments and analysing of user opinions in depth is considered significant. Within the scope of this study, it was aimed to be determined the user opinions about the application of video texts developed for e-books prepared for tablet computers as lesson finalizer. In this context, design based research method was preferred within the scope of the study. The study group consists of 22 participants selected from approximately 800 first grade students enrolled in the Social Services Department of Atatürk University Faculty of Open University. However, after the first cycle, it was continued to study with a total of 20 participants, 11 boys and 9 girls because of that 2 of participants had left. Semi-structured interview forms from qualitative data collection tools were used as a data collection tool in the study. Content analysis method, which is an inductive method, was used in the analysis of the interviews with the participants. In the study, learners deem necessary that video texts in the summary part of the lesson should be used. However, the sort of video, the number of video used in the content and the scope of video are seen to be effective in the summary section of the using of video. The learners noted that the using of video texts in the summary section is effective in terms of repetition, persistency, summarization, completion of missing and supporting of learning. It is thought that the excessive using of video in the lecturing negatively affects the views on video use. In the e-books developed for tablets, while, the video type and number of videos are effective in the using of video texts as a lesson finalizer, it can be said that preparing short videos which briefly describe the summary of the lesson, highlight important points and make subsequent studies easier are important.

  • MakaleYalnız künye2018
    A New Insight – 3D Printers and Their Instructional Use: A Content Analysis

    Çelık, Embıya; Yıldırım, Gürkan; Yildirim, Serkan

    In the current research, it is aimed to determine the current situation of the studies about the 3D printers in the literature and the status of the 3D printers in terms of educational utilization. The content analysis method was used in the study. According to the findings, it can be said that there is a progress in the positive direction from 2003 to 2017, in the studies carried out on the 3D printers. When studies on 3D printers are examined, it is noteworthy that many studies have been carried out especially in the field of health, medicine and engineering. When examining the work carried out on the 3D printers' utilization in the field of education in the WoS and ERIC databases, it has been seen that many studies are particularly oriented towards the development of material, environment or a product. In addition, very little of the studies have examined the instructional effects of 3D printers.

    AtıfTR Dizin8
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  • MakaleYalnız künye2017
    Neural network data preprocessing: is it necessary for time series forecasting?

    Pabuçcu, Hakan

    Neural networks (NNs) are a commonly used method to solve the time series-forecasting problem. NNs have some advantages compared with traditional forecasting models, such as auto regressive moving average or auto regressive integrated moving average. NNs do not need to have any statistical assumption like normal distribution. However, data preprocessing, normalization, trend adjusting, seasonal adjusting, or both differencing can introduce better results in some studies. In this study, we have tried to investigate whether data preprocessing methods are useful for time series data, which contains trend, seasonality or unit root. For this purpose, we collected the real time series data belonging to monthly or quarterly observations and used nonlinear autoregressive (NAR) and multilayer perceptron (MLP) models. Although we obtained significant differences between data preprocessing methods, the structure of MLP with differenced variable produced the worst results

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