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Parental perspectives on table tennis as an inclusive physical activity for children with autism: a qualitative means-end chain analysis
No full textThis study explored why parents prefer table tennis as a physical activity for their children with autism spectrum disorder (ASD) using a qualitative approach based on means-end chain theory and the laddering technique. We collected data from 22 parents whose children with ASD were aged 12 to 16 years and were participating in structured physical activity programs in Ankara. Findings suggested that table tennis is favoured for some attributes such as accessibility, low-cost, and risk-free. Additionally, parents reported some consequences such as improvements in social interaction, motor skills, and regulation of stereotypic behaviours, and values such as happiness and motivation. The hierarchical value map illustrated pathways linking such as attributes (e.g. two-player) to consequences (e.g. motor skills) and values (e.g. happiness). These results highlighted the potential of table tennis in therapeutic and school-based physical education programs for children with ASD. However, in the study, numerous limitations included such as a small sample size and reliance on parental reports, which may not fully reflect children's experiences. Future research should examine long-term effects and incorporate direct observations. This study may contribute to the growing literature on inclusive physical activity, providing practical insights for educators, therapists, and policymakers to enhance ASD-friendly sports programs
Schoolchildren's Attitudes Toward Covid-19 Measures Scale: A Scale Development Study
No full textFor schools and academic studies to continue, children as well must adhere to the measures taken to prevent the spread of Covid-19. The aim of this study was to develop a scale to assess schoolchildren's attitudes toward Covid-19 measures. The sample of this study, which was designed in a methodological type, consisted of 205 children. This study was conducted at primary schools in Zonguldak, Turkey. The validity of content and construct was examined to evaluate the validity of the Schoolchildren's Attitudes toward Covid-19 Measures Scale. This scale is a valid and reliable measure for assessing the attitudes of schoolchildren toward Covid-19 measures. The results of the factor analysis indicated a scale with 28 items and six factors. Cronbach's alpha value for the overall scale is 0.928. According to the results of the analysis, the developed scale was found to have excellent content and construct validity and reliability for schoolchildren
DSBAV-Net: Depthwise Separable Bottleneck Attention V-Shaped Network with Hybrid Convolution for Left Atrium Segmentation
No full textAccurate and precise segmentation of the left atrium (LA) is crucial in the early diagnosis and treatment of atrial fibrillation (AF), which is the most common heart rhythm disease in cases. The size of fibrotic tissue in patients with AF is based on manual examination of images obtained from the gadolinium-enhanced cardiac magnetic resonance imaging (MRI) technique. However, manual examination of the acquired images is time-consuming and has many difficulties, such as LA thickness between observers and resolution according to MR devices. To overcome the challenges of manual segmentation of images obtained from MRI devices, end-to-end, fully automated deep learning-based segmentation architectures have become extremely important today. In this study, an encoder-decoder-based V-shaped deep learning architecture is proposed for precise segmentation of LA. In the proposed architecture, standard convolution and depthwise separable convolution are used together. Thus, sparsely connected blocks with fewer parameters and deeply separable convolutions learn the feature representations better, increasing the robustness of the model. In addition, the bottleneck attention module has been added to each encoder layer, allowing the network to learn which features to focus on and which features to suppress in images by attention mapping channel and spatially. The proposed architecture obtained 0.915 dice and 0.844 Jaccard scores in the STACOM 2018 challenge dataset. The obtained results draw attention to the robustness of the model.Bartin UniversityNo Statement Availabl
Investigating the impact of teachers' e-learning styles on self-regulated learning skills
No full textÖğrenme stili, 1960'lardan itibaren araştırılan ve farklılıklar gösteren öğrenme metodolojisi anlayışıdır. Her bireyin öğrenme biçimi farklıdır ve bu, bilgiyi edinme, düzenleme ve yorumlamada tercih edilen yöntemlerle ilişkilendirilir. Öğretmen eğitimi, toplumun ilerlemesi açısından önem taşır ve dünya genelinde kaliteli öğretmen eğitiminin vurgulandığı çalışmalar yapılmıştır. Bu çalışmalar, öğretmenlerin sürekli gelişmesini ve teknolojik yeniliklere açık olmalarını savunmaktadır. Eğitimde teknolojinin artan önemi nedeniyle, öğretmenlerin bu alanda bilgi sahibi olması, güncel gelişmeleri takip etmesi ve uygulaması gerekmektedir. Bu, geleceğin eğitim ihtiyaçlarını karşılamak, eğitim sistemimizin hedeflerine ulaşmak ve yenilikçi eğitim ürünleri geliştirmek açısından oldukça önemlidir. Öğretmenler mesleki gelişimlerini sürdürerek kaliteli eğitim sunmalı ve farklı öğrenci gruplarına uygun eğitim yöntemlerini öğrenip uygulamalıdır. Bu durumda e-öğrenme kavramını ortaya çıkarmaktadır. Gerçekleştirilen çalışma, dijital ortamlarda öğretmenlerin ne şekilde öğrendikleri ve süreci nasıl idare ettikleri hakkında okuyucularına bilgi sağlamaktadır. Bunun sonucunda eğitim politikalarının geliştirilmesi, öğretmene yönelik özelleştirilmiş öğrenme yöntemlerinin oluşturulması, e-öğrenme araçlarının geliştirilmesi ve öğretmenlerin pedagojik etkinliklerini artırarak eğitim başarısını destekleme olanağı bulunulabileceğini belirtmektir. Profesyonel gelişimi teşvik etmek, araştırma ve uygulama için yeni perspektifler sağlamak ve daha iyi karar verme stratejisi geliştirme süreçlerine katkıda sağlamaktadır. Yapılan çalışmalar incelendiğinde e-öğrenme stilleri ile öz düzenleyici öğrenme değişkenleri kullanılarak öğretmenler üzerinde doğrudan bir araştırma yapılmadığı görülmüştür. Bu faktörlere dayanarak yapılan araştırmalar, eğitimcilerin kişisel ve profesyonel gelişimini desteklemekle kalmaz aynı zamanda öğrenme ve öğretme süreçlerinin niteliğini artırabilir. Böyle bir araştırmanın sonuçları, eğitim alanında yenilikçi uygulamalara yol gösterici olabilir ve uzun vadeli eğitim stratejilerinin şekillendirilmesine katkıda bulunabilir. E-öğrenme, teknoloji aracılığıyla her yerde ve her zaman eğitim sunan, asenkron ve senkron öğrenme modelleri içeren, öğrenenlere kendi hızlarında öğrenme fırsatı veren ve eğitimi daha çekici hale getiren bir yöntemdir. Bu yöntemle eğitimin kalitesinin artırılması ve eğitimde başarının desteklenmesi hedeflenmektedir. Bu çalışma öğretmenlerin elektronik öğrenme (e-öğrenme) stillerini ve bu stillerin öz-düzenleyici öğrenme yetenekleriyle ilişkisini inceler. E-öğrenme, teknolojinin ilerlemesi ve zaman/mekan sınırlamalarını ortadan kaldırarak var olan eğitimi sürdürme imkanı sunmasıyla popülerleşmiştir. Gerçekleştirilen çalışmada öğretmenlerin e-öğrenme stilleri ile öz düzenleyici öğrenme düzeylerini ortaya koymak ve ikisi arasındaki ilişki düzeyini incelemektir.Learning styles have been studied since the 1960’s, indicating a diverse methodology in acquiring knowledge. Each individual's approach varies and this preference is associated with the way information is acquired, organized, and interpreted. Teacher education is essential for societal advancement, and there have been global studies emphasizing the importance of high-quality teacher education. These studies advocate for the continual professional development of teachers and their openness to technological innovations. Given the growing significance of technology in education, it's imperative that teachers are knowledgeable in this area, staying abreast of and implementing the latest advancements. This is crucial for meeting the educational needs of the future, achieving the goals of our education system, and creating innovative educational products. To deliver quality education, teachers should continue their professional development and learn and apply teaching methods suitable for diverse student groups, thus bringing forth the concept of e learning. The study in question provides readers with insight into how teachers learn in digital environments and manage the process. It suggests that as a result, education policies can be improved, personalized learning methods for teachers can be created, e-learning tools can be developed, and teachers can improve their pedagogic activities to support educational success. Encouraging professional development can offer new perspectives for research and practice and contribute to the development of better decision-making strategies. Reviews of research indicate a lack of direct studies on these two factors among teachers. Studies based on these factors can not only support educators' personal and professional development but can also improve the quality of learning and teaching processes. The results of such research could provide guidance for innovative practices in education and contribute to shaping long term educational strategies. E-learning is a method that uses technology to provide education anytime and anywhere, includes asynchronous and synchronous learning models, allows students to learn at their own pace, and makes education more engaging. The aim of this method is to enhance the quality of education and support success in educational endeavors. This study examines teachers' e-learning styles and the relationship of these styles with their self-regulatory learning capabilities. E-learning has become popular by advancing technology and offering the possibility to continue existing education without the constraints of time or location. The study aims to reveal teachers' e-learning styles and their levels of self-regulatory learning, investigating the relationship between the two
Jordanian Arabic language teachers’ attitudes towards the use of differentiated instruction in teaching
No full textThis study examines the Jordanian language teachers’ attitudes towards the use of differentiated instruction in teaching Arabic. The study sample consisted of 140 male and female teachers. A questionnaire consisting of 25 items was used to collect data. The study employed the descriptive survey method to analyse the data. The results of the study indicated that the attitudes of Arabic language teachers towards differentiated instruction were generally high, with the mean scores of participants' responses on the questionnaire items ranging between 3.150 and 4.193. The results also revealed statistically significant differences in the mean scores of the participants' responses at ? ? 0.05 attributed to gender in favour of male teachers whereas there were no statistically significant differences in the mean scores of the participants' responses at ? ? 0.05 attributed to academic qualification. Also, the results indicated that there were statistically significant differences in the mean scores of the participants' responses at ? ? 0.05 attributed to experience in favour of those with 4 years of experience or less. The study recommends equipping the educational environment with suitable resources and facilities for differentiated teaching
Practicum lesson study: insights from a design-based research in English language teaching practicum
Get PDFPurpose – This study investigates the implementation of the Practicum Lesson Study (PLS) model, which is designed to be used by preservice teachers (PSTs), mentor teachers and advisors during school practicum. Design/methodology/approach – Employing a design-based research (DBR) framework and a multiple case study design, the research in thisstudy evaluated the PLS model through eight distinct cases acrosstwo phases of research. In both phases, the qualitative research explored the nature of the stages and steps followed in each case, providing detailed descriptions ofthe procedural arrangements, teaching sessions and discussionmeetings. Views of the participants regarding their satisfaction levels towards the PLS model, its benefits and challenges were collected through semi-structured interviews and a questionnaire. Findings – The results of the research highlighted significant benefits of the PLS model,such asself-reflection, peer reflection and collaborative practices. These processes notably enhanced PSTs’ abilities to dynamically adjust teaching strategies based on real-time observations and feedback, effectively integrating suggestions from meetings with practical classroom experiences. However, the study also identified several challenges,such as managing diverse opinions and coping with information overload. Research limitations/implications – Based on the comprehensive exploration of the PLS model, the study offers several implications for practitioners and suggestions for future research such as a closer examination of changes in beliefs and identity over time during PLS. Originality/value – The study carries the significance of employing a DBR in the context of implementing LS during ELT school practicum
Ensuring trust in healthcare robotics: The essential role of explainable AI
No full textThe combination of robots and artificial intelligence has the potential to transform the current healthcare system. The importance of explainable artificial intelligence (XAI) digs into the fundamental challenges and game-changing solutions driving this critical topic. This chapter focuses on the fundamental issues of building trust in healthcare robotics, with a particular emphasis on XAI. We first explain the challenges associated with AI-integrated healthcare robotics, then look at the outstanding issues that come with integrating robotics into healthcare settings. The discussion revolves around ethical and safety concerns and the complexities of AI systems in healthcare. These challenges set the scenario for XAI’s critical role in tackling these issues. Next, we emphasize the XAI solutions for building trust in healthcare robotics. We explore how XAI enables healthcare robots to operate transparently and reliably. We go deeper into XAI’s crucial role during this transformative journey, demonstrating its capacity to address the key ethical issues related to the use of AI in healthcare. In this section, we look at the accuracy trade-off, explanation depth, contextual understanding, post hoc explainability techniques, evaluation metrics, and the power of XAI. Finally, we illustrate the examples of XAI benefits in healthcare robots, which demonstrate the role of XAI in healthcare robots. Subsequently, we talk about emerging trends and the future of trust-based healthcare robots, mainly focusing on advancing XAI hardware and emerging trends. Finally, we investigate the growing regulatory standards and guidelines, providing insights into the proper use of AI in healthcare. This section provides an overview of the hopeful future of healthcare robots, emphasizing trust as the foundation of its success. In summary, our chapter demonstrates the practical study of healthcare robots and the critical role that XAI plays for potentially changing the future of healthcare delivery. © 2025 Elsevier B.V., All rights reserved
Measuring the corporate sustainability performance of firms in the renewable energy sector
No full textBu tez çalışmasında, yenilenebilir enerji sektöründe faaliyet gösteren firmaların kurumsal sürdürülebilirlik performanslarının nesnel bir yaklaşımla değerlendirilmesi amaçlanmıştır. Bu kapsamda, Türkiye'de Borsa İstanbul'da işlem gören AYDEM Yenilenebilir Enerji A.Ş.'nin 2019-2023 yılları arasındaki sürdürülebilirlik düzeyi analiz edilmiştir. Çalışmada kurumsal sürdürülebilirlik üç temel boyutta ele alınmıştır: ekonomik, çevresel ve sosyal. Bu boyutlara ilişkin çok sayıda gösterge kullanılarak değerlendirme yapılmıştır. Çalışmanın yöntemsel kısmında Çok Kriterleri Karar Verme (ÇKKV) yaklaşımlarından Entropi ve MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) yöntemleri birlikte kullanılmıştır. Öncelikle kriterlerin göreli önem derecelerinin belirlenmesi için nesnel tabanlı Entropi yöntemi uygulanmış, ardından bu ağırlıklar MARCOS yöntemine entegre edilerek her yıl için sürdürülebilirlik performansı sıralaması elde edilmiştir. Analiz sonucunda, AYDEM Enerji'nin sürdürülebilirlik performansının yıllara göre değişkenlik gösterdiği, 2022 yılının genel anlamda en yüksek performans yılı olduğu tespit edilmiştir. Bu sonuç, özellikle çevresel göstergelerde yapılan iyileştirmelerin ve ekonomik istikrarın etkili olduğunu göstermektedir. 2020 yılı ise pandeminin etkisiyle tüm boyutlarda performansın gerilediği bir yıl olarak dikkat çekmektedir. Bu çalışmayla Entropi ve MARCOS yöntemlerinin entegre kullanımının, sürdürülebilirlik değerlendirmelerinde karar destek aracı olarak etkin biçimde kullanılabileceği gösterilmiştir. Ayrıca bu yöntemsel çerçevenin enerji sektöründe faaliyet gösteren diğer firmalara da uygulanabilir olması, yöntemin genellenebilirliğini ve uygulama değerini ortaya koymaktadır.This thesis aims to evaluate the corporate sustainability performance of firms operating in the renewable energy sector through an objective and systematic approach. In this context, the sustainability performance of AYDEM Renewable Energy Inc., a company listed on Borsa Istanbul, was analyzed for the period between 2019 and 2023. The study addressed corporate sustainability in three dimensions: economic, environmental, and social. Numerous indicators related to these dimensions were used in the assessment. Methodologically, two Multi-Criteria Decision-Making (MCDM) methods were integrated: Entropy and MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution). First, the Entropy method was applied to determine the objective weights of the evaluation criteria. These weights were then used in the MARCOS method to rank the sustainability performance of each year. The analysis revealed that the sustainability performance of AYDEM varied over the years, with 2022 being the year with the highest overall performance. This result indicates that improvements in environmental indicators and economic stability played a significant role. In contrast, 2020 was identified as the lowest-performing year due to the adverse effects of the COVID-19 pandemic across all dimensions. This study demonstrated that the integrated use of Entropy and MARCOS methods can serve as an effective decision-support tool in sustainability assessments. Furthermore, the applicability of this methodological framework to other firms in the energy sector enhances its generalizability and practical relevance
The relationship between psychological resilience and school burnout among high school students
No full textThis study investigates the relationship between psychological resilience and school burnout among high school students in the post-pandemic period through a path analysis. The sampling consists of 1,359 students. The data were collected with the Brief Resilience Scale and Maslach Burnout Inventory-Student Form. The data were analyzed using R software. The findings of the study are presented in two parts: comparison of group means and path analysis. In the first part, psychological resilience and school burnout levels of high school students were analyzed in terms of variables such as gender, school type and adaptation to daily life. In the second part, the relationship between school burnout and psychological resilience was tried to be determined by path analysis method. The study revealed that there was a negative relationship between resilience and school burnout and school burnout had a significant negative effect on psychological resilience (beta=-0.336; p<0.05). Finally, 11% of the variance of psychological resilience is explained by school burnout. In addition, school burnout and psychological resilience variables were examined in terms of various demographic factors and significant differences were found between them. The findings are handled in the discussion section together with previous studies in the literature
Comparative study of concrete properties using basalt, barite, pumice, and marble aggregates subjected to extreme temperatures
No full textThis study investigated the effects of replacing conventional limestone aggregate with basalt, barite, marble, and pumice on the engineering properties and durability of concrete. The aggregates were used as either fine aggregate replacements or as replacements for both fine and coarse aggregates. The concrete specimens produced were subjected to a comprehensive testing program, including tests for unit weight, compressive strength, splitting tensile strength, ultrasonic pulse velocity (UPV), water absorption, and apparent porosity. To evaluate the performance under extreme conditions, specimens were exposed to high temperatures of 600 degrees C and 800 degrees C, with both air and water cooling, and to 300 freeze-thaw cycles. The residual properties, including strength, UPV, and mass loss, were analyzed. The results showed a strong correlation between aggregate type and concrete properties. Basalt aggregates consistently produced the highest compressive and splitting tensile strengths, while pumice aggregate resulted in the lowest. Pumice-based concretes, however, showed superior durability against freeze-thaw cycles, with the lowest mass loss and highest durability factor. Barite aggregate yielded the highest unit weight, and all specimens exposed to high temperatures experienced a strength reduction, with basalt concretes retaining the highest residual strength. In conclusion, the use of alternative aggregates significantly influences concrete performance. While basalt provides superior mechanical properties, pumice offers unique benefits in freeze-thaw durability, highlighting its potential as a functional alternative in specific applications