WoS İndeksli Yayınlar Koleksiyonu

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Artificial Intelligence Technologies and Ethics in Educational Processes: Solution Suggestions and Results
(Univ Malaga, 2024) Kolemen, Cansu Sahin
Artificial intelligence is a technology used to imitate the human-like thinking and decision-making abilities of computer systems. This technology enables computers to perform complex tasks such as data analysis, learning, problem solving and decision making. It is used in the field of education as well as in every field. While the use of artificial intelligence in the field of education provides advantages such as providing personalized learning experiences to students, providing teachers with intuition about student performance and developing educational materials, the ethical dimension should not be ignored. Therefore, the aim of this study is to produce solutions to ethical problems in the teaching and evaluation processes of artificial intelligence technologies in education. Qualitative research method was used in this study. It has adopted the phenomenological research approach among qualitative research methods. The concept of phenomenon is also the ethics of artificial intelligence. The working group consists of teachers, educational technologists and academicians. When selecting the working group, it was taken into consideration that there were teachers who use artificial intelligence applications in education and academics and technologists working in this field. Document analysis and focus group interviews were used as data collection tools. Content analysis was performed on the data obtained. According to the results of the study, ethical problems encountered with the use of artificial intelligence in education were identified and solution suggestions were offered.
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.
Cognitive Behavioral Therapy for Muscle Dysmorphia and Anabolic Steroid-Related Psychopathology: A Randomized Controlled Trial
(MDPI, 2025) Cinaroglu, Metin; Yilmazer, Eda; Ulker, Selami Varol; Sayar, Gokben Hizli
Background/Objectives: Muscle dysmorphia (MD), a subtype of body dysmorphic disorder, is prevalent among males who engage in the non-medical use of anabolic-androgenic steroids (AASs) and performance-enhancing drugs (PEDs). These individuals often experience severe psychopathology, including mood instability, compulsivity, and a distorted body image. Despite its clinical severity, no randomized controlled trials (RCTs) have evaluated structured psychological treatments in this subgroup. This study aimed to assess the efficacy of a manualized cognitive behavioral therapy (CBT) protocol in reducing MD symptoms and associated psychological distress among male steroid users. Results: Participants in the CBT group showed significant reductions in MD symptoms from the baseline to post-treatment (MDDI: p < 0.001, d = 1.12), with gains sustained at follow-up. Large effect sizes were also observed in secondary outcomes including depressive symptoms (PHQ-9: d = 0.98), psychological distress (K10: d = 0.93), disordered eating (EDE-Q: d = 0.74), and exercise addiction (EAI: d = 1.07). No significant changes were observed in the control group. Significant group x time interactions were found for all outcomes (all p < 0.01), indicating CBT's specific efficacy. Discussion: This study provides the first RCT evidence that CBT significantly reduces both core MD symptoms and steroid-related psychopathology in men engaged in AAS/PED misuse. Improvements extended to mood, body image perception, and compulsive exercise behaviors. These findings support CBT's transdiagnostic applicability in addressing both the cognitive-behavioral and affective dimensions of MD. Materials and Methods: In this parallel-group, open-label RCT, 59 male gym-goers with DSM-5-TR diagnoses of MD and a history of AAS/PED use were randomized to either a 12-week CBT intervention (n = 30) or a waitlist control group (n = 29). CBT sessions were delivered weekly online and targeted distorted muscularity beliefs, compulsive behaviors, and emotional dysregulation. Primary and secondary outcomes-Muscle Dysmorphic Disorder Inventory (MDDI), PHQ-9, K10, EDE-Q, EAI, and BIG-were assessed at the baseline, post-treatment, and 3-month follow-up. A repeated-measures ANOVA and paired t-tests were used to analyze time x group interactions. Conclusions: CBT offers an effective, scalable intervention for individuals with muscle dysmorphia complicated by anabolic steroid use. It promotes broad psychological improvement and may serve as a first-line treatment option in high-risk male fitness populations. Future studies should examine long-term outcomes and investigate implementation in diverse clinical and cultural contexts.
Commodities in History: Theoretical Reflections and Empirical Case Studies
(Routledge Journals, Taylor & Francis Ltd, 2025) Gursoy, Ozgur Burcak
Criticality Investigations for the Fixed Bed Nuclear Reactor Using Thorium Fuel Mixed with Plutonium or Minor Actinides
(Pergamon-Elsevier Science Ltd, 2009) Sahin, Suemer; Sahin, Haci Mehmet; Acir, Adem; Al-Kusayer, Tawfik Ahmed
Prospective fuels for a new reactor type, the so called fixed bed nuclear reactor (FBNR) are investigated with respect to reactor criticality. These are (1) low enriched uranium (LEU); (2) weapon grade plutonium + ThO2; (3) reactor grade plutonium + ThO2; and (4) minor actinides in the spent fuel of light water reactors (LWRs) + ThO2. Reactor grade plutonium and minor actinides are considered as highly radioactive and radio-toxic nuclear waste products so that one can expect that they will have negative fuel costs. The criticality calculations are conducted with SCALE5.1 using S-8-P-3 approximation in 238 neutron energy groups with 90 groups in thermal energy region. The study has shown that the reactor criticality has lower values with uranium fuel and increases passing to minor actinides, reactor grade plutonium and weapon grade plutonium. Using LEU, an enrichment grade of 9% has resulted with k(eff) = 1.2744. Mixed fuel with weapon grade plutonium made of 20% PuO2 + 80% ThO2 yields k(eff) = 1.2864. Whereas a mixed fuel with reactor grade plutonium made of 35% PuO2 + 65% ThO2 brings it to k(eff) = 1.267. Even the very hazardous nuclear waste of LWRs, namely minor actinides turn out to be high quality nuclear fuel due to the excellent neutron economy of FBNR. A relatively high reactor criticality of k(eff) = 1.2673 is achieved by 50% MAO(2) + 50% ThO2. The hazardous actinide nuclear waste products can be transmuted and utilized as fuel in situ. A further output of the study is the possibility of using thorium as breeding material in combination with these new alternative fuels. (C) 2009 Elsevier Ltd. All rights reserved.
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.
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.
Ethical Leadership and Perceived Organizational Fairness: A Moderated Mediation Model of Moral Identity and Psychological Contract Breach
(Routledge Journals, Taylor & Francis Ltd, 2025) Aktas, Burak Nedim; Gunalan, Mustafa; Akcin, Kultigin; Erat, Serhat
This study identifies when and how ethical leadership is linked to employees' perceptions of organizational fairness. We propose and test a mechanism in which followers' moral identity explains this link, and the state of the psychological contract sets its boundaries, highlighting a novel, process-focused view of fairness formation. Using a cross-sectional survey of 306 white-collar employees in T & uuml;rkiye's industrial sector, we estimated a moderated-mediation model with partial least squares structural equation modeling and bootstrap inference. Results revealed that ethical leadership related to perceived organizational fairness indirectly through the symbolization (outward expression) facet of moral identity, whereas internalization (inward conviction) was unrelated. This indirect link emerged only when employees perceived that promised obligations were honored, indicating that psychological-contract fulfillment enables ethical signals to be read as fair. The findings clarify that visible moral behavior matters more than inward conviction for fairness judgments and that relational integrity is a precondition for leader influence. We discuss implications for theory and for building fair climates by making ethics visible and keeping promises.
Fuzzy Modelling of Static System Optimum Traffic Assignment Problem Having Multi Origin-Destination Pair
(Elsevier Science Inc, 2021) Temelcan, Gizem; Kocken, Hale Gonce; Albayrak, Inci
Traffic congestion is an unpreventable problem to avoid in a transportation network and it has negative effects on traffic accident, time wasting, traffic delay and safety problem. Besides, in transportation networks, drivers do not want to deal with traffic jam while traversing between specified origin-destination pair. Therefore, traffic assignment (TA) is imperative to improve traffic management, transportation safety, time, and cost savings. System Optimum Traffic Assignment Problem (SOTAP) is a kind of TA model which aims to minimize the total system travel time on the network, and satisfies the flow conservation constraints. To model the SOTAP more realistically, the imprecise parameters can be taken as fuzzy. Therefore, in this paper, we focus on converting the conventional SOTAP to a fuzzy quadratic programming problem (QPP) which is named System Optimum Fuzzy Traffic Assignment Problem (SOFTAP). Here, link travel time is expressed with BPR function as generally used in the literature by converting to fuzzy except link-dependent parameters. Thus, the nonlinear objective function of SOFTAP is expressed in terms of fuzzy link flows and fuzzy link travel times. A solution approach from the literature is modified to the reconstructed SOFTAP.
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.
The Impact of Classroom Environment on Students' Willingness to Communicate in Foreign Language Learning
(Elsevier Sci Ltd, 2025) Salbas, Hanife; Ekmekci, Emrah
The primary goal of teaching a foreign language has undergone a substantial change in the context of modern language education, placing a greater emphasis on the pivotal role of efficient communication. In this evolving landscape of language education, where effective communication is the cornerstone, it has been of the utmost significance to investigate the factors that affect learners' motivation to communicate. Hence, the concept of Willingness to Communicate (WTC) has emerged as a focal point for both scholars and researchers in the field. While scholars have devoted considerable attention to WTC, the existing body of literature remains predominantly focused on studies conducted in Western nations. Addressing this research gap, the current study explores WTC in the Turkish EFL setting through a rigorous mixed-methods research design with a varied cohort of 207 participants. This study aims to provide further understanding of this vital facet of language learning by a careful examination of the intricate relation between WTC and the learning environment in the classroom. The findings indicate a noteworthy impact of classroom components on the WTC among Turkish EFL students, revealing a robust connection between these factors and affective aspects as well. This correlation underscores the study's valuable insights for guiding language policies and strategies aimed at enhancing English proficiency within Turkey.
An Integrated TFN-Marcos Model for Multi-Criteria Evaluation of Digital Transformation and Maturity in Higher Education Institutions
(Pergamon-Elsevier Science Ltd, 2026) Sahin, Ersin; Gorcun, Omer Faruk; Gorcun, Ozhan; Kolemen, Cansu Sahin; Tirkolaee, Erfan Babaee
Digital transformation has become critical for today's universities' competitiveness and sustainable development. However, the success of digital transformation processes is directly related to investments in technological infrastructure, the accurate measurement of corporate digital maturity, and the effective management of these processes. This study aims to comprehensively evaluate digital maturity and the effectiveness of digital transformation processes in universities with a Multi-Criteria Decision-Making (MCDM) approach. To accurately address the ambiguity arising from uncertainty and expert judgments, Triangular Fuzzy Numbers (TFNs) and the Measurement Alternatives and Ranking according to Compromise Solution (MARCOS) method are combined. In addition, a SWOT analysis is performed to systematically specify the strengths, weaknesses, opportunities, and threats that shape the strategic digital transformation directions of universities. The developed model is then applied to a set of criteria wherein universities are assessed under various dimensions, such as digital infrastructure, human resources, governance, digital culture, and innovation. The findings reveal that universities with high levels of digital maturity can carry out their digital transformation processes more effectively and sustainably. It is also demonstrated that the proposed methodology is able to efficiently deal with strategic planning of digital transformation and maturity in higher education institutions.
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.
Introduction of a Spatio-Temporal Mapping Based POE Method for Outdoor Spaces: Suburban University Campus as a Case Study
(Pergamon-Elsevier Science Ltd, 2018) Gocer, Ozgur; Gocer, Kenan; Basol, Altug M.; Kirac, M. Furkan; Ozbil, Ayse; Bakovic, Mujesira; Ozcan, Baris
Outdoor spaces are important to sustainable cities because they establish a common identity for social life by improving quality of urban living. The relation between outdoor spaces and building groups, competency, use period, and interaction of micro-climatic factors are needed to be investigated from a holistic approach. Unfortunately, the limited and narrow scoped POE studies on outdoor spaces make an overall assessment without causality relation. Other existing studies in outdoor spaces are mostly grouped under the headings such as; user satisfaction, space syntax and behavioral mapping, and biometeorological assessments. The intention of this paper is to introduce a new post-occupancy evaluation (POE) method integrates these studies focusing on various problems in outdoor spaces using spatio-temporal mapping. The comprehensive methodology applied in this research attempted to overcome some of the shortcomings of related studies by conducting a longitudinal study (during a year, as opposed to a few days) and also by objectively analyzing the associations of user behavior and physical attributes as well as the configurational properties of the campus layout. With this method, outdoor spaces can be evaluated in the context of the interaction between the physical environment and its users' behavior and activities, level of satisfaction and perceptions of comfort. The method has been applied on a suburban university campus in Istanbul, Turkey. The main courtyard of the campus has been subjected for map creation and result discussions.
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.

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