2045 research outputs found
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No full textKH00159MEF Üniversitesi Kütüphane direktörü Ertuğrul Çimen, "Dijital kütüphaneler el kitabı : tasarım, geliştirme ve etki" başlıklı kitapta yer alan "Greenstone sayısal kütüphane yazılımı" başlıklı bölümün çevirisine katkıda bulunmuştur.Nisa
Optimizing collective building management through a machine learning-based decision support system
No full textThis study presents the design, implementation, and evaluation of a Decision Support System (DSS) developed for Collective Building Management. Given the potential advantages of machine learning techniques in this domain, the research explores how these techniques can be used to improve collective building management. The dataset consists of 824,932 records and 15 attributes, after preprocessing the data to fill in missing values with the median. The random forest algorithm was chosen for model training and achieved a performance rate of 71.2%. This model can be used to optimize decision processes in collective building management. The proposed prototype is notable for its ability to automatically generate operational plans. In conclusion, machine learning-based DSSs are effective tools for collective building management.2-s2.0-85184656384Eylü
International librarian networking program 2023
No full textAmerican Library Association's çatısı altında düzenlenen International Librarians Networking Program 2023’ün bir çıktısı olan bu poster çalışmasında, program dahilinde birbiriyle eşleşen iki üniversite kütüphanesinin (MEF Üniversitesi-International Medical University, Malaysia) benzerlikleri ve farklılıkları ele alınmıştır. İki kütüphanenin benzerlikler ve farklılıklarından hareketle, çalışmada partnerlerin program boyunca birbirlerinden edindikleri deneyimlere yer verilmiş deneyimlerin sonucu olarak kütüphanelerde gelecek için neler yapılabilir? Konusu tartışılarak, yeni öneriler sunulmuştur.This poster study, which is an output of the International Librarians Networking Program 2023 organized under the framework of the American Library Associations, discusses the similarities and differences of two university libraries (MEF University-International Medical University, Malaysia) that were paired with each other as part of the program. Based on the similarities and differences of the two libraries, the study lays out the experiences that the partners learned from each other during the program, and as a result of the experiences, asks what can be done for the future with regards to libraries? The topic is discussed and new suggestions are presented.Mayı
İnsan Hakları Bilincini Geliştirme Yöntemi Olarak Sinema
No full textSinema filmlerinin eğitim amaçlı kullanımı yeni değildir. 1895 yılında film makinesinin Lumiére kardeşler tarafından bulunmasından kısa bir süre sonra filmlerin 1907 yılından itibaren eğitim amaçlı kullanıldığı göze çarpmaktadır. 1922 yılında sinemanın eğitimdeki etkisini ölçmeye yarayan ve 500’den fazla öğrenci üzerinde yapılan bir araştırma, filmin öğrenmenin etkililiğini arttırdığı, konuların sevilmesine katkıda bulunduğunu ortaya koymuştur. Türkiye’de de 1933’te yapılan bir araştırmada 8-14 yaşındaki 60 ilkokul öğrencisinin filmi izledikten 2 ay sonra filmin %70’ini hatırladıklarını göstermiştir. Basit bir çıkarsamayla sinema görsellik hatırlama, anlama, konulara aşinalık bakımlarından kolaylaştırıcılık bir işlev görmektedir. Bu etkinin fark edilmesi sinemanın daha işlevsel ve yoğun kullanılması sonucunu doğurur. Amerika’da 1936 yılına gelindiğinde ilk ve ortaokullarda 10.97 sinema filmi projektörünün bulunduğu, okullarda ve üniversitelerde öğretmen ve öğrenciler için film kütüphanelerinin oluşturulduğu gözlenir. Benzer gelişmeler 1907’lerden sonra Avrupa’da da rastlanmaktadır. Bu süreç II. Dünya savaşı sonrasında artarak devam etmiştir.Nisa
Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models
No full textThis study aims to evaluate individuals with limited access to banking services and enhance credit scoring models with alternative data sources. A psychometric-based credit scoring model was developed and tested. Despite limited data, significant potential findings were obtained. However, clarification of the distinction between credit payment intention and ability and validation of the results with more data are necessary.IEEE,TUBITAK BILGEM,TurkcellWOS:0010625710001652-s2.0-85173491184Conference Proceedings Citation Index – Science -
Conference Proceedings Citation Index – Social Science & HumanitiesProceedings PaperUluslararası işbirliği ile yapılmayan - HAYIREkimYÖK - 2022-2
Analyzing consumer behavior: the impact of retro music in advertisements on a chocolate brand and consumer engagement
No full textThis study presents research utilizing binary classification models to analyze consumer behaviors such as chocolate consumption and retro music ad viewing. Retro music, with its potential to evoke nostalgic feelings in consumers, is used in advertisements, which can have a significant impact on brand perception and consumer engagement. Firstly, a model focusing on chocolate consumption was developed and tested. The model yields significant outcomes. Secondly, a model based on retro music ad viewing status was developed and tested. Significant potential findings were obtained. This study emphasizes the applicability of effective classification models that can be used to understand and predict consumer behaviors, yielding significant outcomes.2-s2.0-85178286973Eki
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No full textKH00165MEF Üniversitesi Kütüphane direktörü Eruğrul Çimen, IFLA Avrupa Bölge Komitesi'nin başkanı olarak seçildi.Hazira
Validation of the short version (TLS-15) of the triangular love scale (TLS-45) across 37 languages
No full textLove is a phenomenon that occurs across the world and affects many aspects of human life, including the choice of, and process of bonding with, a romantic partner. Thus, developing a reliable and valid measure of love experiences is crucial. One of the most popular tools to quantify love is Sternberg’s 45-item Triangular Love Scale (TLS-45), which measures three love components: intimacy, passion, and commitment. However, our literature review reveals that most studies (64%) use a broad variety of shortened versions of the TLS-45. Here, aiming to achieve scientific consensus and improve the reliability, comparability, and generalizability of results across studies, we developed a short version of the scale—the TLS-15—comprised of 15 items with 5-point, rather than 9-point, response scales. In Study 1 (N = 7,332), we re-analyzed secondary data from a large-scale multinational study that validated the original TLS-45 to establish whether the scale could be truncated. In Study 2 (N = 307), we provided evidence for the three-factor structure of the TLS-15 and its reliability. Study 3 (N = 413) confirmed convergent validity and test–retest stability of the TLS-15. Study 4 (N = 60,311) presented a large-scale validation across 37 linguistic versions of the TLS-15 on a cross-cultural sample spanning every continent of the globe. The overall results provide support for the reliability, validity, and cross-cultural invariance of the TLS-15, which can be used as a measure of love components—either separately or jointly as a three-factor measure.2-s2.0-8517840985238038856Aralı
A new benchmark dataset for P300 ERP-based BCI applications
No full textScientific and Technological Research Council (TUBITAK) of Turkey [118E268]Acknowledgment This work was supported by The Scientific and Technological Research Council (TUBITAK) of Turkey under Contract 118E268.Because of its non-invasive nature, one of the most commonly used event-related potentials in brain -computer interface (BCI) system designs is the P300 electroencephalogram (EEG) signal. The fact that the P300 response can easily be stimulated and measured is particularly important for participants with severe motor disabilities. In order to train and test P300-based BCI speller systems in more realistic high-speed settings, there is a pressing need for a large and challenging benchmark dataset. Various datasets already exist in the literature but most of them are not publicly available, and they either have a limited number of participants or utilize relatively long stimulus duration (SD) and inter-stimulus intervals (ISI). They are also typically based on a 36 target (6 x 6) character matrix. The use of long ISI, in particular, not only reduces the speed and the information transfer rates (ITRs) but also oversimplifies the P300 detection. This leaves a limited challenge to state-of-the-art machine learning and signal processing algorithms. In fact, near-perfect P300 classification accuracies are reported with the existing datasets. Therefore, one certainly needs a large-scale dataset with challenging settings to fully exploit the recent advancements in algorithm design (machine learning and signal processing) and achieve high-performance speller results. To this end, in this article we introduce a new freely-and publicly-accessible P300 dataset obtained using 32-channel EEG, in the hope that it will lead to new research findings and eventually more efficient BCI designs. The introduced dataset comprises 18 participants performing a 40 -target (5 x 8) cued-spelling task, with reduced SD (66.6 ms) and ISI (33.3 ms) for fast spelling. We have also processed, analyzed, and character-classified the introduced dataset and we presented the accuracy and ITR results as a benchmark. The introduced dataset and the codes of our experiments are publicly accessible at https://data .mendeley.com /datasets /vyczny2r4w.(c) 2023 Elsevier Inc. All rights reserved.WOS:0009467358000012-s2.0-85149907353Science Citation Index ExpandedarticleUluslararası işbirliği ile yapılan - EVETMartYÖK - 2022-2
The mediating role of instructional design and video length between grade level and pupil-content interaction in instructional mathematics videos on YouTube
No full textThe use of instructional videos is rampant in education; however, their interaction is limited by weak instructional design. Gagne has never insisted on using his renowned 9 Events of Instruction slavishly in situations as a viable paradigm for utilization in video design. Connecting grade level, video length, and interaction, this study seeks to determine the relevance of Gagne's prescribed 9 event sequence in instructional mathematics videos. We scrutinized 50 instructional mathematics videos on YouTube geared towards middle school pupils ranging between 5th and 8th grades. We used quantitative media content analysis for video analysis. In data analysis, partial least squares were used. Bayesian estimation was also resorted to for cross checking. The data revealed that one-third of Gagne's instructional design steps were not always present: activating prior knowledge, eliciting performance, and finally providing feedback. A mediation analysis between grade level and video length revealed that 6 events fully mediated the association between the two. We also elicited the impact of these variables on affective and behavioral interactions in videos. This study assists in creating an idiosyncratic instructional design model, called Birgili's 8 steps for instructional video design, and in infusing this with a melange of four theories. In contrast with the status quo attesting that the literature abounds with scholarly works touting the shorter is the better mantra, the results substantiated that longer may be better in leveraging video interactions provided that the length is judiciously used to conform to instructional design principles.WOS:0010313607000032-s2.0-85165051799Social Sciences Citation IndexarticleUluslararası işbirliği ile yapılmayan - HAYIRAğustosYÖK - 2022-2