DSpace Arşivi :: Ana Sayfa

İstanbul Gelişim Üniversitesi Kurumsal Açık Erişim Arşivi

DSpace@Gelişim, İstanbul Gelişim Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.

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Teachers and AI: Understanding the factors infuencing AI integration in K‑12 education
(Springer, 2025) Filiz, Ozan; Kaya, Mehmet Haldun; Adıgüzel, Tufan
This study investigates the psychological and pedagogical factors infuencing K-12 teachers’ readiness to integrate artifcial intelligence (AI) into educational settings. An exploratory qualitative approach was employed, involving 66 teachers from 11 disciplines at a private school in Türkiye participating in a professional development program focused on AI-enhanced teaching. Data were collected through online discussion forums and AI-supported learning activity design tasks and analyzed using inductive thematic analysis. Findings reveal that teachers valued AI for its efciency, interactivity, and adaptability, particularly in tools like ChatGPT and MagicSchool, which supported personalized learning and lesson planning. However, signifcant challenges emerged, including technical issues, curriculum misalignment, ethical concerns, and cultural barriers, such as difculties adapting AI-generated content to local contexts. The study concludes that while AI ofers signifcant potential to enhance education, successful integration requires addressing the identifed barriers through targeted support, resources, and ethical guidelines. Implications for further research include exploring diverse educational settings to generalize fndings, conducting longitudinal studies to assess long-term impacts, and investigating strategies to align AI tools with existing curricula and ethical standards.
A Sampling-Based Motion Planning Strategy for Robotic Manipulators in Highly Dynamic Workspaces
(IOS Press BV, 2025) Yan, Cheng; Zhang, Jie; Lv, Min; Gu, Jingyi; Yahya, Khalid
With the increasing deployment of collaborative robots, motion planning in shared human-robot workspaces has gained growing theoretical and practical significance. This paper focuses on the development of a trajectory planning algorithm for robotic arms under environmental constraints. Aiming at the problems caused by traditional trajectory planning algorithms, such as slow convergence speed and the lack of the consideration of obstacles along the path of the robotic arm, a dynamic obstacle avoidance trajectory planning algorithm based on the configuration and kinematic model of the robotic arm is proposed, which enables the robotic arm to dynamically plan a smooth trajectory from the start node to the goal node while avoiding encountering obstacles in complex constrained environments. Based on the results of the Informed RRT* algorithm, the algorithm integrates single-step path optimization, path refinement and quintic polynomial trajectory planning process to realize the shortest path planning and smooth trajectory generation while avoiding encountering obstacles. Simulation results on a 6-degree-of-freedom robotic arm validate the effectiveness of the proposed algorithm in obstacle avoidance and trajectory planning within constrained environments in three-dimensional space. Compared to traditional algorithms, the proposed algorithm demonstrates faster convergence speed and more comprehensive obstacle avoidance capabilities for the whole robotic arm.
Sustainable supply chain training: digital tools for transportation modules
(EDP Sciences, 2025) Başal, Murat; Süzen, Ekrem; Şarkbay, Ömer Faruk; Öztürk, Emine; Keke, Mehmet Emin
In today’s fast-evolving logistics landscape, meeting customer demands for accuracy, speed, and reliability requires advanced digital solutions. Transport technologies—particularly in domestic/international land and air cargo—are pivotal to optimizing supply chain resilience and sustainability. This study evaluates the role of digital tools (e.g., transportation management modules) in enhancing operational efficiency and workforce readiness. Through hands-on training in industry-standard software, logistics students developed critical competencies in transport process digitization. Data collected via post-training surveys and analyzed with SPSS revealed significant improvements in their technical skills and employability. The findings highlight the transformative potential of integrating transport-focused digital solutions into supply chain education, with broader implications for warehouse management, route optimization, and end-to-end visibility. Recommendations emphasize scaling such technological training to bridge the gap between academia and industry needs in sustainable logistics.
Swarm Intelligence in Two Decades: Bibliometric Analysis and Research Visualizations
(Wiley, 2025) Yazıcı, Ayşe Meriç
Bibliometric analysis and research visualizations of publications on the keyword swarm intelligence between 2001 and 2024 help us understand the developments and trends in this field. The study examines the number of articles published on swarm intelligence during this period, subject headings, publication access feature, author names, affiliated institutes, publication type, countries of publication, and network visualization. In the study, OpenAlex, which indexes more than 250 million academic studies in social sciences globally, was used as a database. VOSviewer software tool was used for map creation and network visualization. According to the results of the analysis, it is seen how the research on swarm intelligence has evolved over time. This bibliometric analysis and research visualizations on the keyword swarm intelligence can be a resource for future studies to understand the current state and future trends of research in this field. Such a study can also help researchers to better understand the work done in this field and discover opportunities for advancement.
Green Growth in Scandinavia: Assessing The Role of Environmental Taxation, Green Innovation, Trade, and Urbanization in Advancing Clean Energy Consumption
(Sciendo, 2025) Sackitey, Gabriel Mordzifa; Oddei, Josephine Abena; Boğa, Semra; Fumey, Michael Provide; Bekun, Festus Victor
The research analyses the drivers of clean energy use (CEU) in Scandinavian countries by assessing the influence of environmental taxation (ETR), green innovation (GRI), trade openness (TRD), economic growth (ECG), and urbanization (URB). In exploring these relationships, the research is mainly theorized within the Energy Transition Theory and Environmental Kuznets Curve (EKC) hypothesis framework while employing panel data from 1990 to 2023 and advanced econometric tools. Results show that while GRI and ECG significantly contribute to adopting clean energies, the URB process enhances CEU through improved infrastructure and technology adoption. It reveals that environmental taxation has an adverse short-term impact by raising energy costs, while trade openness yields ambiguous results. The study confirms the theoretical frameworks and highlights the interplay among socio-technical and economic dimensions as critical enablers and barriers for energy transitions. Thus, environmental taxation should be complemented with subsidies, more significant investments in green innovation should be made, and economic growth should be used to ensure clean energy infrastructure and clean energy in urban planning. These findings provide actionable strategies to fasttrack clean energy transitions in Scandinavia and beyond, thus ensuring economic growth and harmony with environmental sustainability.