WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://acikerisim2.beykoz.edu.tr/handle/20.500.12879/2

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Applicability of a Digitalization Model Based on Augmented Reality for Building Construction Education in Architecture
(Emerald Group Publishing Ltd, 2023) Guray, Tayibe Seyman; Kismet, Burcu
Purpose The purpose of this paper is to introduce a digitalization model (DM) for building construction courses in architectural education as a response to the recent emerging technologies in the era of digital transformations. This DM is developed and applied through augmented reality (AR) technologies to boost perception, understandings and ability to solve building construction details. Design/methodology/approach Based on a thorough review of recent technologies like AR, virtual reality (VR), building information modelling (BIM) and their applications in architectural education, the methodology involves the generation of a model, its application and evaluation. The model is based on the integration of BIM and AR which is applied into a third year "Building Construction Project" course. Each student has designed a residential building and accordingly prepared the construction drawings by adapting the DM. An online survey -based on Technology Acceptance Model - is conducted to evaluate the DM by quantitative data analysis from SPSS and Excel. Findings The key findings of the study include the following items: determination of the proper digital tools, the definition of the steps and workflow based on the building project phases to develop construction drawings and define precise details effectively. By the help of this, the DM is generated and applied. According to the survey and results, the DM which involves BIM-based AR is considered as beneficial, highly motivating and providing better perception on construction details. Originality/value Implication of AR/VR technologies is frequently seen in design studios, whereas building construction courses state its traditional approach. However, there is a huge potential in the digitalization of building construction education by increasing the perception of students together with the increased level of communication. The study aims to close the gap of digitalization by proposing a DM, which brings a systematic approach considering each phase of building construction project as conceptual, schematic, design development and construction documents by using BIM integrated AR. Moreover, the novel model specifically brings a new approach by generation of QR codes for construction details to embed videos or simulations into the two-dimensional drawing sheets. Furthermore, the DM proposes a new approach to satisfy emerging needs and requirements of the Architecture Engineering Construction industry.
Case Report: Physiological and Psychological Underpinnings of Muscle Dysmorphia Using EEG, GSR, and Eye-Tracking
(Frontiers Media SA, 2025) Cinaroglu, Metin; Ulker, Selami Varol; Yilmazer, Eda; Sayar, Goekben Hizli
Background Muscle dysmorphia (MD), a subtype of Body Dysmorphic Disorder (BDD), involves an obsessive preoccupation with perceived insufficient muscularity despite an objectively muscular physique. While its psychological features are well-documented, physiological and attentional underpinnings remain underexplored.Objective This exploratory, proof-of-concept case series examines the psychological, physiological, and attentional characteristics of individuals with varying experiences of MD using a multimodal approach combining electroencephalography (EEG), galvanic skin response (GSR), and eye-tracking technologies.Methods Three male participants were purposefully selected to represent distinct clinical profiles: one with active MD and steroid use, one in sustained remission from MD, and one with no MD history. Participants completed validated psychological scales (MDDI, BIDQ, STAI, RSES) and were exposed to personalized visual stimuli (past, current, and idealized body images). A triangulated recording protocol was used to capture EEG, GSR, and eye-tracking data during stimulus exposure.Results Participants with current and past MD showed elevated beta wave activity, increased skin conductance, and attentional biases toward muscular regions, corresponding with higher self-reported distress and anxiety. In contrast, the control participant exhibited stable physiological responses and emotionally neutral reactions. Triangulated data revealed coherent patterns across subjective and physiological domains, supporting the internal validity of the findings despite the small sample.Conclusion These findings illustrate the potential of multimodal assessment in identifying candidate psychophysiological markers of MD. While not generalizable, this case-series provides a valuable framework for future hypothesis-driven research and supports the need for gender-specific diagnostic and intervention strategies in muscle dysmorphia.
Children with Learning Disorders Discourse with Their Mothers: The Role of Maternal Affectivity and Psychopathology Symptoms
(Springer, 2023) Alsancak-Akbulut, Cansu; Celik, Cihat; Erden, Gulsen
This study aimed to examine the role of maternal affectivity and psychopathology symptom severity on conversational styles of mothers and their children with learning disorders during recounting stressful events. 30 Turkish mothers and their children with learning disorders (n(boy) = 20, n(girl) = 10) aged between 7 and 14 included in this study. Mother-child dyads conversed about stressful events that children experienced at school and their conversation style was coded for high elaboration and low elaboration. Maternal affectivity and psychopathology symptom severity were also measured via self-report. Lower levels of negative affectivity predicted maternal high elaboration. Maternal positive affectivity and psychopathology symptom severity did not predict mother-child dyads' conversational style. These preliminary findings suggested that lower levels of negative affectivity, reflecting on mothers being sincere and calm, provide mothers with a warm environment for elaborating on the stressful event - even though the children were not able to respond with high elaboration.
Current State and Future of Shipping and Logistics
(Elsevier Science Bv, 2013) Tuna, Okan; Duru, Okan
Developing a Building-Scale Circularity Indicator Through Fuzzy Analytical Hierarchy Process and Gini Index-Based Circularity Calculation Methods
(Taylor & Francis Ltd, 2025) Kismet, Burcu; Colakoglu, Meryem Birgul
Circular economy (CE) aims to achieve sustainable development by optimizing resource efficiency through innovative system designs. The built environment plays a crucial role in this transition, yet the absence of standardized indicators hinders effective circularity assessment. This study introduces a structured building-scale circularity indicator (BuCI) to support industry and academia in evaluating buildings' circularity levels and facilitating the shift towards a circular built environment. Based on a thorough review of CE, the methodology involves the generation of a model, its implementation on a selected case study and evaluation. The proposed model integrates the shearing layer and building lifecycle concepts to establish a measurement framework with defined criteria and key performance indicators. Fuzzy analytical hierarchy process and Gini index are used to formulate circularity calculation. Then, the BuCI is implemented on three different case studies, two steel and one reinforced concrete buildings. CS1 and CS2 reached 60% circularity level, thanks to the material advantages and certain design principles such as modularity, disassembly and flexibility, whereas CS3 calculated as 31.05% circular due to material and design decisions. The study contributes to the field by introducing a novel indicator for the industry, academia and authorities to accelerate the circular transition. For future studies, it is suggested to integrate cost and cultural heritage related criteria.
The Development and Validation of an Integrated Assessment of Irrational Beliefs Concerning Basic Psychological Needs: The Rational Emotive Self-Determination Scale for Workers
(Frontiers Media Sa, 2025) Artiran, Murat; Tinaz, Pinar; Simsek, Omer Faruk; Miller, Anthony; Vione, Katia Correa; Turner, Martin James
Introduction Recently a new approach to understanding human behaviour has emerged that integrates rational emotive behaviour therapy (REBT) from the cognitive behavioural tradition, and self-determination theory (SDT) from the humanistic tradition. In the current study, we develop a psychometric that conceptualizes this new approach in organisational settings; the rational emotive self-determination scale for work (RESD-W). The RESD-W assesses respondents' irrational beliefs (from REBT) concerning the basic psychological needs (from SDT), namely perceptions of autonomy, competence, and relatedness within their work life. The RESD-W builds on initial validations of the RESD in adolescent populations (RESD-A).Methods In the current paper, the psychometric properties of the 16-item RESD-W were examined across five studies, in which the factor structure, the reliability of the scale, and construct and criterion-oriented validity of the RESD-W were assessed.Results Analyses confirmed theoretical expectations and yielded good psychometric properties. Scores in the RESD-W were associated with anxiety and depression, and negative emotions in the workplace.Discussion The results are discussed regarding practice, highlighting that work related psychological wellbeing may be predicated on the integration of irrational beliefs and basic psychological needs.
Divergent Developmental Performance of Turkey and South Korea: An Appraisal from Political Economy Perspective
(Routledge Journals, Taylor & Francis Ltd, 2023) Erdogdu, M. Mustafa
Turkey's per capita income was nearly three times South Korea's in 1962. Dramatic change has been observed since then. South Korea has transformed into an innovative economy approaching the global technology frontier in only a few decades. Turkey, on the other hand, has attained limited success with missed opportunities and has fallen behind. This article asks why this spectacular success was observed in South Korea, but not in Turkey. It seeks an answer by concentrating on certain variables that may explain this outcome. Assuming that primarily different types and capacities of societies and states explain the variations in economic performance, the article examines in particular, the institutional foundations of Turkish and Korean societies.
Drivers and Barriers on Implementing XR Technologies in the Construction Industry in Turkey
(Taylor & Francis Ltd, 2024) Seyman-Guray, Tayibe; Kismet, Burcu
This study presents drivers and barriers on construction industry extended reality (XR) implementations in Turkey. It aims to investigate the current state and future directions of XR opportunities for architecture offices and construction companies in a developing country. A quantitative approach was employed which involves conducting a survey, performing statistical analyses, and verification of the hypotheses. The data were analyzed by SPSS and Excel using the frequency, mean score, standard deviation (SD), and one sample t-test. Thirty-three different companies participated in the survey with a return rate of 56.89%. The results were considered statistically significant since all the p-values were below 0.05. The findings revealed that even though 60% of the companies are not using XR, 60% companies have near future plans on implementing them. According to the results, XR was considered as beneficial and highly motivating for the near future, yet it needs to be widespread for companies to keep themselves abreast of information and communication technology trends. Finally, by considering the findings obtained from the results this study reaches a classification of drivers as 'increased efficiency: time-cost-quality' and 'increased communication and coordination' while barriers as 'technical limitations', 'high costs', and 'unqualified professional'.
Dynamic Quantitative Imaging of the Masseter Muscles in Bruxism Patients with Myofascial Pain: Could It Be an Objective Biomarker
(MDPI, 2023) Aydin Aksu, Sibel; Kursoglu, Pinar; Turker, Izim; Baskak, Fulya; Ozen Sutuven, Elifnaz; Meric, Kaan; Cabbar, Fatih
We aimed to investigate whether the collaboration of shear wave elastosonography (SWE) and B-mode ultrasonography (US) could be offered as diagnostic tools to assess the presence, severity, and progress of bruxism, as well as a biomarker for the effectiveness of treatment in daily clinical practice. The study was designed as a quantitative evaluation of the masseter muscles (MMs) of the clinically diagnosed bruxism patients suffering from myofascial pain and MMs of the healthy individuals. Clinical examinations were made according to the diagnostic criteria for temporomandibular disorders (DC/TMD), and pain was assessed using a visual analog scale (VAS). Painful MMs with VAS scores >= 4 were assigned to Group A, and healthy MMs were assigned to Group B. Also, the MMs of the painful bruxers were analyzed based on wearing occlusal splints. Group A was divided into two subgroups as splint users (Group AI) and non-users (Group AII). All the participants were scanned with dynamic US and SWE to quantify the size and stiffness of the MMs. Measurements of each muscle pair while the jaw is in a resting position (relaxation) and clenching position (contraction) were recorded. The significant differences in stiffness and thickness became visible in the relaxation state. Bruxism patients with myofascial pain had significantly harder and thinner MMs than healthy individuals. During the relaxation, the mean thickness and elasticity values were 9.17 +/- 0.40 mm and 39.13 +/- 4.52 kPa for Group A and 10.38 +/- 0.27 and 27.73 +/- 1.92 for Group B, respectively. Also, stiffer MMs were measured in Group AII (38.16 +/- 3.61 kPa) than in Group AI (26.91 +/- 2.13 kPa). In conclusion, the combination of SWE and US using a dynamic examination technique has the potential to be a valuable tool for the management of bruxism patients suffering from myofascial pain.
Effects of Mindfulness on Test Anxiety: A Meta-Analysis
(Frontiers Media Sa, 2024) Yilmazer, Eda; Hamamci, Zeynep; Turk, Fulya
Objective: This meta-analysis evaluated the effectiveness of mindfulness-based interventions (MBIs) on test anxiety across diverse age groups and intervention modalities. Methods: Rigorous inclusion criteria were applied to select studies focusing on MBIs as the independent variable, with test anxiety as the outcome. A comprehensive search across multiple databases yielded 18 primary studies, contributing 20 comparisons. Data were extracted on study characteristics, sample sizes, and intervention details, and were analyzed using a random-effects model. Results: The analyses incorporated 1,275 participants, with MBIs demonstrating a moderate to large negative effect on test anxiety (effect size = -0.716; 95% CI: -1.383 to -0.049). Moderation analysis indicated that mean age, number of sessions, and intervention delivery mode did not significantly influence effect sizes. Publication bias assessment suggested the presence of bias via Egger's regression (p = 0.025), though Begg and Mazumdar's test and Duval and Tweedie's trim and fill method indicated no missing studies. Conclusion: MBIs are effective in reducing test anxiety, though results should be interpreted with caution due to potential publication bias and unexplained heterogeneity. The impact of MBIs did not vary significantly with participant age, number of sessions, or delivery mode.
Efficacy of Left Prefrontal Transcranial Direct Current Stimulation in Improving Negative Symptoms and Acutely Enhancing Attention Functions
(Cambridge University Press, 2025) Noyan, H.; Eskikurt, G.; Verkhovets, A.; Zeren, N.; Yesilkaya, H.; Ucok, A.
Enforcement of the Anti-Racism Legislation of the European Union Against Antigypsyism
(Routledge Journals, Taylor & Francis Ltd, 2019) Sayan, Pinar
The European Union (EU) became a pioneer of the promotion of human rights and democratic values especially during the last decades. However, the members of the EU are not immune from the human rights violations including the areas of "equality" and "non-discrimination" that are related to racism, discrimination and xenophobia. "Antigypsyism", a form of racism, is among the most challenging human rights areas for the member states despite all recent initiatives. In this research, the use of EU competences to combat antigypsyism is analysed with case studies. It is argued that the use of the competences is limited.
Gamifying Mobile-Based Science Education: Enhancing Self-Regulated Learning Skills in Middle School Students
(Springer, 2025) Ates, Huseyin; Kolemen, Cansu Sahin
Gamification has emerged as a promising educational strategy, offering dynamic solutions to address challenges in fostering self-regulated learning (SRL) skills in middle school students, particularly within the context of science education. These skills, including goal-setting, progress monitoring, and reflective practices, are critical for navigating complex scientific concepts. Despite its potential, gaps remain in understanding how gamified mobile learning impacts key educational outcomes. This study investigates the effects of a gamified mobile-based SRL approach on middle school students' academic achievement, motivation, enjoyment, and engagement in science education. Using an experimental design, 64 students were divided into a gamified mobile-based SRL group and a non-gamified control group. The results demonstrated significantly higher outcomes for the gamified group across all measures, highlighting the approach's effectiveness in enhancing interactive, student-centered learning. This study contributes valuable insights into integrating gamification with mobile technologies to support SRL and improve science education outcomes.
Greening Logistics Centers: The Evolution of Industrial Buying Criteria Towards Green
(Elsevier Science Bv, 2013) Altuntas, Ceren; Tuna, Okan
The rapidly globalizing world trade requires longer supply chains with higher attention on the environmental effects of logistics activities. Latest international conventions related with environmental regulations reinforce governments and corporations to adhere to environmental protection precautions. An effort to decrease the negative environmental effects of logistics activity is the geographical concentration of logistics companies which are called logistics centers. This study aims to provide a green industrial service buying approach for the industrial customers of logistics centers. The study combines green purchasing literature with previousely developed environmental performance indicators (EPIs) and develops a green industrial buying model for logistics centers. The model provides a framework for potential residents of a logistics center and supports their industrial buying processes. The model also serves as an input for green industrial service design in a logistics center.
Integrating AI Into Instructional Design: A Case Study on Digital Photography Education in Higher Education
(Bastas Publ Ltd - Uk, 2025) Bora, Betul Yildizhan; Kolemen, Cansu Sahin
This study investigates the impact of artificial intelligence (AI)-supported education in higher education, specifically examining its integration into a digital photography course and its effects on both students and instructors. A qualitative research methodology was employed, and participants were selected through purposive sampling. The study involved one instructor and 38 students, with data collected through semi-structured interviews and analyzed using content analysis within a qualitative case study design. The findings indicate that AI enhances educational processes by facilitating individualized learning, improving instructional effectiveness, supporting digital content development, and advancing academic language proficiency. Students demonstrated improvements in critical evaluation and technological adaptability. Additionally, the study revealed that AI-supported tools contributed to the development of students' technical skills and promoted active engagement in learning processes. The immediate feedback provided by AI tools aided students' understanding of fundamental photography principles. However, some students expressed concerns about potential risks associated with AI, including decreased engagement, learner passivity, and exposure to misinformation or contradictory content. The study highlights the importance of integrating AI within a sound pedagogical framework to ensure its effective application in educational contexts. Drawing on the experiences of both students and the instructor, the findings suggest that AI-supported educational models can enhance learning efficiency, while also emphasizing the need to bolster information reliability and foster critical thinking skills.
Integrating Theories for Insight: An Amalgamated Model for Gamified Virtual Reality Adoption by Science Teachers
(Springer, 2025) Ates, Hueseyin; Kolemen, Cansu Sahin
This study examines the factors influencing science teachers' intentions to adopt gamified virtual reality (VR) in educational settings, employing the Theory of Planned Behavior (TPB) and Protection Motivation Theory (PMT) as theoretical frameworks. We investigate how perceived threats, benefits, and motivational and cognitive factors impact these intentions, focusing on science teachers. By integrating TPB and PMT, the study aims to provide a comprehensive model that elucidates the roles of attitude, subjective norm, perceived severity, vulnerability, self-efficacy, response efficacy, and response costs in the decision to adopt gamified VR. The structural analysis conducted on a sample of 1645 science teachers revealed that our amalgamated model demonstrates a robust predictive capacity for their intentions to adopt gamified VR. This model outperformed traditional theories in predicting adoption intentions. The research also demonstrates significant relationships between these factors and the intention to use gamified VR, with differences noted across teacher groups by professional status and gender. This enhanced understanding of adoption barriers and facilitators informs strategies for better integration of VR in science education, potentially enriching teaching practices and improving student engagement and learning outcomes.
Investigating Predictors of Online Dating Motivation
(John Wiley & Sons Ltd, 2024) Hamarat, Hazal
Investment Strategies for Renewable Energy Technologies and Harvesting Systems in Airport Operations Using Spherical Fuzzy MCDM Models
(Nature Portfolio, 2025) Mizrak, Filiz; Sahin, Didem Rodoplu
This study presents a novel evaluation framework for prioritizing investment strategies in sustainable airport energy systems by integrating advanced fuzzy decision-making techniques with artificial intelligence-based expert weighting. Specifically, it employs a hybrid Spherical Fuzzy CRITIC-RATGOS model to rank renewable energy alternatives based on economic feasibility, environmental impact, technological efficiency, scalability, and operational reliability. To address limitations associated with equal expert weighting, a Principal Component Analysis-driven dimension reduction technique is applied to calibrate expert influence based on professional background and consistency of evaluation. The model is applied to a real-world case study at Istanbul Airport, demonstrating that AI-optimized energy management, solar microgrids, and waste-to-energy conversion are the most promising investment alternatives. In contrast, although technologies such as piezoelectric harvesting show future potential, their current limitations reduce their immediate feasibility. Sensitivity analysis affirms the robustness and stability of the results across various weighting configurations. The proposed framework contributes to both theory and practice by offering a scalable, transparent, and replicable decision-support tool for airport authorities, policymakers, and energy planners aiming to align infrastructure development with global sustainability and decarbonization goals.
Job Demands, Resources, and Future Considerations: Academics' Experiences of Working from Home During the Coronavirus Disease 2019 (COVID-19) Pandemic
(Frontiers Media Sa, 2022) Karatuna, Isil; Joensson, Sandra; Muhonen, Tuija
The coronavirus disease 2019 pandemic has severely affected workers, workplaces, and working practices. In the higher education setting, universities have shifted to distance learning, resulting in profound changes in academics' work. In this study, we aimed to describe academics' job demands and resources related to changes in working conditions during the pandemic, and to examine how these changes have affected the perceived occupational wellbeing of academics. Additionally, we aimed to investigate academics' expectations and concerns for future academic working practices following the pandemic. The data were collected through semi-structured interviews with 26 academics working at various universities in Sweden. A content analysis was used to identify the key themes from the transcribed interviews. The results indicated that academics experienced a lack of face-to-face communication, absence of an academic environment, work overload, and work-home interference as demanding during the pandemic. In relation to resources, online communication options, appropriate working conditions, organizational-social support, and individual factors were perceived as important. Most respondents perceived negative occupational wellbeing outcomes. However, academics who had the appropriate resources were less likely to be affected by job demands. Academics' expectations for future academic work included continuation of working online, flexibility in the choice of workspace, and strengthened digital capacity. Their concerns were related to a lack of face-to-face interaction, management actions and economic implications, and pure digital education. This paper contributes to the literature by illustrating the complexity and diversity of experiences and preferences among academics that are important for universities to consider when organizing and managing future academic work.
Measuring Remote Working Skills: Scale Development and Validation Study
(Public Library of Science, 2024) Benligiray, Serap; Gungor, Abdullah Y.; Akbas, Ilkay
Remote work, one of the most significant working arrangements of today, requires certain employee skills. Although there are some hints, there is not much information in the literature on this subject. This study aims to identify the skills required for productive remote working activities and to develop a scale for measuring these skills. For this purpose, a thorough review of the literature, consultation with experts, and analysis of data obtained from four samples with remote working experience were all conducted. Within this context, item generation and content validation, initial factor structure analysis, and factor structure confirmation and construct validity examination were performed. Consequently, the Remote Working Skills Scale was developed, which has 36 items and five dimensions (cybersecurity, problem-solving, time management, verbal communication, and written communication).

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