https://www.kuey.net/index.php/kuey/issue/feed 2026-01-21T09:09:47+00:00 Educational Administration: Theory and Practice editor@kuey.net Open Journal Systems <h2>Educational Administration: Theory and Practice</h2> <h3><strong>(Kuram ve uygulamada eğitim yönetimi)</strong></h3> <div id="content" style="font-family: Arial; text-align: justify;"> <div><strong>e-ISSN: </strong> <strong>2148-2403 | p-ISSN: 1300-4832 | Frequency 12 Issue Per Year | Nature: Online and Print | Language of Publication: English | Article Processing Charges: 1000 USD</strong></div> <div> </div> <div id="journalDescription"><strong>Introduction</strong> <br />The <strong>Educational Administration: Theory and Practice</strong> publishes prominent empirical and conceptual articles focused on timely and critical leadership and policy issues of educational organizations. The journal embraces traditional and emergent research paradigms, methods, and issues. The journal particularly promotes the publication of rigorous and relevant scholarly work that enhances linkages among and utility for educational policy, practice, and research arenas.</div> <div>The goal of the editorial team and the journal’s editorial board is to promote sound scholarship and a clear and continuing dialogue among scholars and practitioners from a broad spectrum of education.<br />Educational Administration: Theory and Practice presents prominent empirical and conceptual articles focused on timely and critical leadership and policy issues facing educational organizations. As an editorial team, we embrace traditional and emergent theoretical frameworks, research methods, and topics. We particularly promote the publication of rigorous and relevant scholarly work with utility for educational policy, practice, and research. <br />The journal’s primary focus is on studies of educational leadership, organizations, leadership development, and policy as they relate to elementary and secondary levels of education. Examinations of leadership and policy that fall outside K-12 are considered insofar as there are meaningful connections to the K-12 arena (e.g., college pipeline). International comparative investigations are welcome to the extent they have implications for a broad audience.<br /> <div class="row"> <div class="jumbotron" style="padding: 10px; margin-bottom: 5px;"> <p><strong>Basic Journal Information</strong></p> <ul class="list-group"> <li class="list-group-item show"><strong>e-ISSN: </strong> 2148-2403 | <strong>p-ISSN: </strong> 1300-4832<strong> | Frequency Quarterly (12 Issue Per Year) | Nature: Online | Language of Publication: English | Article Processing Charges: 1000 USD</strong></li> <li class="list-group-item show"><strong>Coverage Areas: </strong>Although the list is not prescriptive, EATP intends to focus on advances in the following sub-domains: <ol> <li>Expanded views and sources of educational leadership, including beyond the individual as leader</li> <li>Multiple purposes and outcomes of educational leadership (e.g., instructional, managerial, democratic, inclusive, social justice)</li> <li>diverse analytical/theoretical lenses (e.g., organizational, sociological, sociocultural, distributed, critical)</li> <li>address the influence of leadership and policy on educational practice and outcomes</li> <li>address the impact of diverse forms of leadership preparation and development</li> <li>consider how the organizational structure of districts and schools impacts leadership and improvement processes</li> <li>enrich our understanding of schools as agents of social change</li> <li>examine educational environments that promote equity and social justice for students and faculty</li> </ol> </li> <li class="list-group-item show" style="text-align: justify;"><strong>Types of Papers: </strong>The Journal accepts the following categories of papers:<br /> <ul> <li>Original research</li> <li>Position papers/review papers</li> <li>Short-papers (with well-defined ideas, but lacking research results or having preliminary results)</li> <li>Technology Discussion/Overview Papers</li> </ul> </li> <li class="list-group-item show" style="text-align: justify;"><strong>Peer Review Process: </strong>All submitted papers are subjected to a comprehensive blind review process by at least 2 subject area experts, who judge the paper on its relevance, originality, clarity of presentation and significance. The review process is expected to take 8-12 weeks at the end of which the final review decision is communicated to the author. In case of rejection authors will get helpful comments to improve the paper for resubmission to other journals. The journal may accept revised papers as new papers which will go through a new review cycle.</li> <li class="list-group-item show" style="text-align: justify;"><strong>Periodicity: </strong>The Journal is published in 12 issues per year.</li> <li class="list-group-item show" style="text-align: justify;"><strong>Citation Analysis: <a href="https://scholar.google.com/citations?hl=en&amp;view_op=list_works&amp;alert_preview_top_rm=2&amp;authuser=4&amp;gmla=AJsN-F5AOTf9koiVb4mMnge1nvIYpBcY7PoFlS7XNtl34c6gRpNSvjK6iA78NYtUld9iVaAUnpjmiryRyjtkMjXvjrimgLnYnL7D17uOcGyvGsP6-pV0C2MOEAx8M27nzeo2qbpjuJo7&amp;user=5biXhQwAAAAJ" target="_blank" rel="noopener">Google Scholar</a> | <a href="https://www.scopus.com/sourceid/21100943319" target="_blank" rel="noopener">Scopus</a></strong></li> </ul> </div> </div> </div> </div> https://www.kuey.net/index.php/kuey/article/view/11419 2026-01-21T09:09:47+00:00 Dr. Dipankar Sarkar mangesh8499@gmail.com Kunal Sarkar research.biochem21@gmail.com

<p><strong>Introduction</strong>: The Electronic Nearby Odour Sensing Element (e-NOSE) is an advanced technology designed to detect, identify, and classify odors through a sensor array and artificial intelligence (AI)-driven algorithms. This study presents the development and evaluation of the e-NOSE as a humane alternative to traditional methods, such as sniffer dogs, for detecting hazardous substances like drugs and explosives, while also exploring its applications in food quality control and environmental monitoring.</p> <p><strong>Methodology</strong>: The methodology involved the use of a sensor array, specifically designed to detect volatile organic compounds (VOCs) emitted by various substances. The data collected from the sensors was processed using machine learning algorithms, including Principal Component Analysis (PCA) and Artificial Neural Networks (ANNs), to identify and classify odors. The e-NOSE system was tested on drug samples (marijuana and methamphetamine), food samples (freshness and spoilage detection), and environmental pollutants (VOCs).</p> <p><strong>Results</strong>: The results demonstrated that the e-NOSE system successfully identified odors with high accuracy, achieving a sensitivity rate of over 95% in drug detection and distinguishing between fresh and spoiled food samples. The system’s ability to detect and classify odors in real-time makes it a promising alternative to sniffer dogs in hazardous detection tasks, offering benefits in terms of animal welfare, continuous operation, and objective analysis.</p> <p><strong>Discussion</strong>: In the discussion, the e-NOSE’s performance was compared to traditional detection methods, highlighting its advantages in speed, accuracy, and safety. Although the system showed occasional inconsistencies in complex odor mixtures, it outperformed conventional methods in several aspects. The use of AI algorithms was key to improving the system’s classification accuracy, although challenges related to sensor calibration and VOC interference remain.</p> <p><strong>Conclusion</strong>: In conclusion, the e-NOSE is a promising technology with the potential to revolutionize industries such as security, food safety, and environmental monitoring. Future advancements in sensor materials, data analysis techniques, and system miniaturization will enhance the system's capabilities, making it an indispensable tool for odor detection in various fields. The ongoing development of e-NOSE technology offers a more humane, efficient, and reliable approach to hazardous substance detection, with broader applications in society and industry.</p> <p>&nbsp;</p>

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