Demographic characteristics terms of university students opinions an investigation on social networking sites

Bu araştırmada, üniversite öğrencilerinin sosyal paylaşım sitelerinin olumlu-olumsuz etkilerine ve eğitsel bağlamda kullanılmasına yönelik görüşleri, öğrencilerin demografik özelliklerine göre incelenmiştir. Araştırma ilişkisel tarama yöntemi ile yürütülmüştür. Araştırmanın evrenini Çukurova Üniversitesi Eğitim Fakültesi’nde okuyan 6000 öğrenci oluşturmaktadır. Bu evrenden %11 örneklem büyüklüğü ile ulaşılan toplam 659 üniversite öğrencisinden toplanan verilerle analizler yapılmıştır. Veriler iki farklı ölçek kullanılarak toplanmıştır. Verilerin analiz edilmesinde t-testi ve ANOVA kullanılmıştır. Araştırma sonuçlarına göre sosyal paylaşım sitelerinin olumlu ve olumsuz etkileri demografik özelliklere bağlı olarak farklılık göstermemektedir. Sosyal paylaşım sitelerinin eğitsel bağlamda kullanılmasında ise düşük gelire sahip olan öğrenciler lehine bir durum bu öğrencilerin görüşlerinin daha olumlu olduğu görülmüştür. Ayrıca öğrencilerin okudukları lisans programı açısından da anlamlı farklılıklar olduğu görülmüştür.In this study, the thoughts of university students over the usage, positive and negative effects of social networking sites are studied comparing the students by considering their demographic features. The research was conducted by using survey method. 6000 students enrolled in Faculty of Education of Çukurova University constitute the research population. And, the analysis comes from 659 of them which represent a sample rate of 11 %. Two different kinds of scale were used to collect data. T test and ANOVA were used for analysis. The findings of the research show that the positive/negative effects of social networking sites over university students display no significant difference according to demographic characteristics. When it comes to the use of social networking sites in educational context significant difference has been seen in favour of the students with lower income. When the student opinions related to the use of social networking sites in educational context is referred to the program, there are also significant differences

Üniversite öğrencilerinin sosyal paylaşım sitelerini kullanma amaçları ve eğitimde kullanımıyla ilgili görüşleri

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Bu çalışmada, üniversite öğrencilerinin sosyal paylaşım sitelerini kullanma durumları ve kullanma amaçları; sosyal paylaşım sitelerinin, üniversite öğrencileri üzerindeki olumlu- olumsuz etkileri, üniversite eğitimine entegre edilmesi ve eğitsel bağlamda kullanılmasına yönelik öğrenci görüşleri incelenmiştir. Araştırma, tarama modelinde yürütülmüştür. Araştırma, Çukurova Üniversitesi (Adana) Eğitim Fakültesi öğrencileri ile yürütülmüştür. Çalışmanın örneklemi 315'i kız ve 343'ü erkek olmak üzere toplam 659 kişiden oluşmaktadır.Araştırma sonucunda, üniversite öğrencilerinin görüşlerine göre sosyal paylaşım sitelerinin üniversite eğitimine entegre edilmesinin bir gereklilik olduğu, eğitsel bağlamda kullanılmasının iletişim, işbirliği ve kaynak/materyal paylaşımı konusunda yararlı olacağı bulunmuştur. Üniversite öğrencilerinin sosyal paylaşım sitelerini kullanma amaçlarının daha çok eski arkadaşları ile iletişim kurmak, ortak ilgi ve gereksinimlere sahip gruplara katılmak ve kısa sürede daha çok bilgi paylaşmak olduğu görülmüştür. Araştırmaya katılan üniversite öğrencilerine göre sosyal paylaşım siteleri: iletişim, sosyalleşme, haberleşme, paylaşım, kendini ifade etme ve psikolojik rahatlama açısından olumlu etkilere sahipken; gereğinden fazla zaman alma, ders verimliliğini düşürme, sosyalleşmeyi engelleme şeklinde olumsuz etkileri de sahiptir. Bu nedenle sosyal paylaşım sitelerinin yüksek öğretimde akademik başarı ve öğrenme performansını artırmaya yönelik olumlu bir etkisinin olabileceği ancak bu kullanım sürecinin etkili ve verimli bir biçimde gerçekleşmesi sürecinde gerekli kültürün oluşması için desteğe ihtiyacı olabilecek öğrenciler olduğu dikkate alınmalıdır.Anahtar Kelimeler: Sosyal Paylaşım Siteleri, Entegrasyon, Etkileşim, Eğitim, Olumlu-Olumsuz Etki.In this study, the usage conditions of social sharing sites of university students, the aims of usage, the negative-positive effects of social sharing sites on university students and the integrity of these sites to the education and student views on it have been investigated. The study was held with survey method. The survey was held with the student of the Educational Faculty of Cukurova University. The participants are 315 girls and 343 boys from different teacher preparation undergraduate programmes.The results show that it is a necessity to integrate the social networking media to the higher education. it is useful on communication, colloboration and material-source sharing for higher education according to the findings. It is understood that the aim of usage social media of student is primarily to contact with old friends and communicate with common groups and share more information in a shorter time by their face to face friends. According to university students, the social media have not only good effects on them, but also bad effects such as wasting time, decreasing efficiently studying and curbing the socializing. These social media have good effects on the higher education but it is remembered that some students should be supported for using them safely and effectively.Keywords: Social Networking Media, Integration, Interaction, Higher Education, Positive-Negative Effects

Does time matter? Temporal dynamics and configurational hierarchy in pedestrian movement

The Space Syntax theoretical framework sustains that the urban spaces’ configuration possesses intrinsic information which allows to model and foresee patterns of human movement and social interaction. Critics argue, however, that there are several factors beyond configuration that influence pedestrian behaviour. In particular, critics focus on the absence of the temporal component by saying that, while Space Syntax can reveal systemic logics, it cannot depict the actual time-dependent movement variation in micro-urban scales and their causes. Nevertheless, if accounted pedestrian flows maintain their hierarchies over time and those coincide with the street hierarchies denoted by Space Syntax, this would reinforce the role of the configurational component in movement. Given this premise, the paper discusses pedestrian flow data and Visibility Graph Analysis in Piazza delle Vettovaglie, Pisa (Italy), to assess: a) if pedestrian flows hierarchy actually changes, by comparing people counts registered in different timestamps, along three days, at different access gates; b) if different Space Syntax metrics express the same gate hierarchy; c) if-and-how the modelled and real hierarchies differ from each other. This discussion aims to unveil the role of time in micro-urban spaces usage, and provide a first answer to the question: do changes in pedestrian movement across time follow the configurational hierarchy established with Space Syntax? Results inform that despite changing in flows, the hierarchy proved rather regular across time, thus confirming the Space Syntax premises and the role of configurational component in movement

Exploring spatial crime impedance to highlight risky places: A Space Syntax-based environmental approach to urban security

The environmental approach to urban security acknowledges the importance that spatial and social dimensions of urban environments have for both real and perceived security, emphasizing the need to understand how urban spaces influence human behaviour. Space Syntax offers insights into human behavioural patterns in space by examining the spatial configuration of places and identifying individuals' movement patterns, representing an asset to uncovering underlying spatial dynamics in criminal behaviour, both at the urban and micro-urban scale. The association between Space Syntax and crime patterns is not new, however additional steps should be taken to associate it to environmental criminological theories, which deconstruct the components that contribute to crime occurrence. Considering this, the research delves into the existing correlations between crime distributions and intrinsic spatial properties derived from Space Syntax, using the historic centre of Pisa, Italy, as a case study. Two objectives are set: (1) identifying a comprehensive set of significant measures to explore crime phenomena through a discussion of previous research and an examination of the logic of criminology theories; and (2) to develop and discuss a methodology for linking Space Syntax metrics with crime distribution patterns, and assess correlations between space and crimes, thus identifying risky areas within the urban context. The direction and the strength of correlations between certain type of crime and specific attributes of the environment suggests the existence of a “Spatial Crime Impedance” property: a measure of natural resistance that the urban environment, considering only its spatial configuration and physical layout, opposes to criminal activities

From streets to screens: A deep dive into urban configuration and Google reviews

The experiences of urban visitors are frequently captured and shared on various websites and social platforms through reviews and ratings. These "digital footprints" help us understand what visitors think about a certain place. High visitor traffic may stem from the urban layout and configuration, such as the importance of a street, the building characteristic, or the location of the place within an urban settlement. Hence, these digital footprints are shaped by a complex interplay of spatial, emotional, self-organizational, and socio-behavioural factors. This presents us with compelling research questions: To what extent does urban configuration influence these digital footprints? And how exactly does this dynamic play out? This research examines the intricate relationship between urban spatial characteristics and digital footprints in the realm of urban tourism. Our approach taps into Space Syntax metrics and associates them with places, extracted as points of interest from Google Maps API. This framework helps ascertain what is the linkage between urban configuration and visitors’ digital activities, to reveal another layer of social behaviour within the cities. Our research centred on the historic city of Sassi di Matera, Italy, distinguished by its cave dwellings and intricate pathways. Initial findings from our research present significant correlations between Space Syntax metrics and visitors’ reviewing activities at specific places. By correlating the configurational patterns with reviews and ratings, we observed that these places are influenced by surrounding space, and that this situation varies depending on the type of place

Clinical validation of SERS metasurface SARS-CoV-2 biosensor

The real-Time polymerase chain reaction (RT-PCR) analysis using nasal swab samples is the gold standard approach for COVID-19 diagnosis. However, due to the high false-negative rate at lower viral loads and complex test procedure, PCR is not suitable for fast mass screening. Therefore, the need for a highly sensitive and rapid detection system based on easily collected fluids such as saliva during the pandemic has emerged. In this study, we present a surface-enhanced Raman spectroscopy (SERS) metasurface optimized with genetic algorithm (GA) to detect SARS-CoV-2 directly using unprocessed saliva samples. During the GA optimization, the electromagnetic field profiles were used to calculate the field enhancement of each structure and the fitness values to determine the performance of the generated substrates. The obtained design was fabricated using electron beam lithography, and the simulation results were compared with the test results using methylene blue fluorescence dye. After the performance of the system was validated, the SERS substrate was tested with inactivated SARS-CoV-2 virus for virus detection, viral load analysis, cross-reactivity, and variant detection using machine learning models. After the inactivated virus tests are completed, with 36 PCR positive and 33 negative clinical samples, we were able to detect the SARS-CoV-2 positive samples from Raman spectra with 95.2% sensitivity and specificity