2026-10-19T21:38:53Z https://jedl.us/index.php/jedl/oai

oai:jedl.us:article/1 2026-10-02T08:49:55Z jedl:ART driver

Educational Leadership in the Digital Age: Harnessing Technology for Transformative Governance Amiri, Sayed Mahbub Hasan Amiri, Sayed Majhab Hasan digital educational leadership transformative governance technology integration digital transformation school leadership higher education governance A digital transformation of education is happening which calls for governance models going beyond administrative efficiency toward equity, participation and adaptability. This study investigates how educational leaders use technology to support transformative governance engaging stakeholders, utilizing data for decision making, and remaking institutional culture. The study used a qualitative multiple-case design that included three recognized K-12 and higher education institutions showcasing innovative digital governance. Methods Qualitative data were collected through semi-structured interviews with 25 leaders, staff and student representatives; analysis of governance documents; and guided walkthroughs of digital platforms used for deliberation and transparency. Thematic analysis was performed within- and between-case. Results showed that transformative governance depends on how effectively leaders can transition from controlling power to democratized governance through collaborative applications, open dashboards and data analytics-based deliberation. Digital curiosity and risk tolerance, digital infrastructure, supportive policy environments, and ongoing professional capacity building were all key enablers. Persistent barriers included the overall level of digital overload, ongoing equity gaps in access to information and technology services, and resistance from middle management. The analysis studied a stepwise trajectory from visioning and infrastructure to the institutionalisation of digitally enabled governance. The research emphasises that technology is merely a facilitator of governance change when it is integrated into specific and conscious leadership approaches to sharing voice. The implications suggest that leadership preparation programs should include governance-oriented digital competencies, that policymakers should use incentives to spur the adoption of participatory platforms and that institutions should foster cultures of transparent, data-driven decision-making in order for educational systems to be more resilient. Such insights come together to add to the edifice of digitally enabled transformative governance. Education and Development Lab 2026-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/1 ark:48915/JEDLBD7347-RGKH 10.5281/zenodo.19995461 Journal of Education and Development Lab; Vol. 1 No. 1 (2026): June Issue; 1-24 en https://jedl.us/index.php/jedl/article/view/1/3 Copyright (c) 2026 Sayed Mahbub Hasan Amiri, Sayed Majhab Hasan Amiri (Author) https://creativecommons.org/licenses/by-nc/4.0

oai:jedl.us:article/2 2026-10-04T17:59:30Z jedl:ART driver

Cognitive and Behavioral Management for Children in High-Stress, Low-Resource Contexts Islam, Md. Mainul adaptive strategies cognitive and behavioral management global South high-stress low-resource contexts resilience This article examines the principles and practices of cognitive and behavioral management for children growing up in high-stress, low-resource contexts prevalent in the Global South. Grounded in a qualitative study of 66 stakeholders, including caregivers, educators, and adolescents across diverse settings, the research explores how chronic stressors such as poverty, insecurity, and scarcity directly shape child development, manifesting in behaviors ranging from hypervigilance and withdrawal to aggression and cognitive fatigue. In response, caregivers and practitioners employ adaptive, culturally embedded strategies that often diverge from standardized models, prioritizing resilience, situational awareness, and practical skill acquisition. The analysis reveals a sophisticated, if often implicit, framework where discipline is frequently intertwined with teaching, and everyday routines become primary vehicles for cognitive and emotional learning. Tensions emerge between survival-oriented control and the nurturing of adaptive intelligence, highlighting the complex trade-offs faced by families. Key factors promoting positive outcomes include relational consistency, environmental predictability, and the strategic channeling of stress responses into constructive outlets. The article concludes by advocating for a strengths-based, ecological approach to child management that legitimizes and systematizes indigenous practices. It calls for policies and interventions that support rather than supplant existing community assets, fostering cognitive and behavioral development that is both contextually appropriate and foundationally robust. Education and Development Lab 2026-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/2 ark:48915/JEDLBD4545-LWRW 10.5281/zenodo.19995306 Journal of Education and Development Lab; Vol. 1 No. 1 (2026): June Issue; 25-44 en https://jedl.us/index.php/jedl/article/view/2/2 Copyright (c) 2026 Md. Mainul Islam (Author) https://creativecommons.org/licenses/by-nc/4.0

oai:jedl.us:article/3 2026-10-04T17:59:26Z jedl:ART driver

The Future of Field Audits: How Technology is Revolutionizing On-Site Accounting Mithila, Marzana artificial intelligence cloud-based auditing digital transformation drone inventory verification emerging technologies field audits remote auditing This article examines how a suite of emerging technologies artificial intelligence (AI), cloud-based audit platforms, robotic process automation (RPA), and drone-enabled inventory verification is fundamentally reshaping on-site accounting fieldwork. Drawing on a systematic literature review, industry studies, and qualitative analysis of recent platform innovations, the article explores three main dimensions: (1) the technological drivers transforming traditional field audit workflows, (2) the challenges and risks accompanying digital adoption, and (3) the future trajectory of the field auditor’s role. Key findings indicate that AI adoption has moved beyond experimentation into routine operational use, with firms increasingly focused on oversight and validation rather than initial deployment. Cloud platforms are enabling real-time, collaborative audit environments that transcend geographical barriers, while drone technology provides independent volumetric verification that enhances both audit quality and safety. However, significant challenges remain, including data security vulnerabilities, regulatory lag, workforce upskilling needs, and concerns about the erosion of professional judgment through apprenticeship removal. The article concludes by proposing an integrated framework for understanding how technology, human expertise, governance structures, and regulatory requirements interact within the modern field audit ecosystem. Education and Development Lab 2026-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/3 ark:48915/JEDLBD2764-LNTX 10.5281/zenodo.20005910 Journal of Education and Development Lab; Vol. 1 No. 1 (2026): June Issue; 45-68 en https://jedl.us/index.php/jedl/article/view/3/1 Copyright (c) 2026 Marzana Mithila (Author) https://creativecommons.org/licenses/by-nc/4.0

oai:jedl.us:article/5 2026-10-04T17:59:22Z jedl:ART driver

Identification of Available Acid and Available Base by Using a Natural Indicator and Identification of Produced Gas from These Acid-Base Reactions Islam, Dr. Md. Nazrul Organic acid base natural indicator acid-base reaction carbon dioxide turmeric small-scale chemistry The sensory properties of dilute acids and bases are characteristically sour and bitter, respectively. While numerous organic acids are integral to food flavor enhancement, many bases function as essential cleaning agents in domestic settings. The ready identification of common acids and bases is achievable using accessible natural indicators. Carbonate (CO32-) or bicarbonate (HCO3-) salts generate carbon dioxide (CO2). Upon reaction with acids. In a turmeric solution, the characteristic yellow color transitions to orange upon the addition of trace amounts of detergent containing components such as sodium carbonate, linear alkyl benzene sulfonate, and sodium percarbonate, which serves as a positive indication of a basic solution. This orange coloration reverts to yellow following the addition of vinegar, confirming the acidic nature of vinegar. Furthermore, gases produced from acid-base reactions can be identified. For instance, CO2 generated from the reaction between vinegar and detergent is partially soluble in water, forming bubbles, and turns limewater turbid. However, identification of CO2 can be challenging when gas quantities are minimal. An aqueous solution of this gas turns blue litmus paper red, underscoring its acidic character. This study validates a simple, cost-effective, and environmentally benign small-scale chemistry approach for educational and analytical applications. Education and Development Lab 2026-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/5 ark:48915/JEDLBD7575-LXMW 10.5281/zenodo.22158838 Journal of Education and Development Lab; Vol. 1 No. 1 (2026): June Issue; 69-80 en https://jedl.us/index.php/jedl/article/view/5/5 Copyright (c) 2026 Dr. Md. Nazrul Islam (Author) https://creativecommons.org/licenses/by-nc/4.0

oai:jedl.us:article/6 2026-10-04T17:59:17Z jedl:ART driver

Poverty on a plate: why 'cheap food' is killing the third world slowly Akter, Naznin cheap food food poverty global south qualitative survey third-world nutrition ultra-processed foods The burden of non-communicable diseases in the Global South is increasing, partly due to the widespread availability of cheap, unhealthy foods. To explore this issue, a study was conducted with 48 participants from urban and rural areas in South Asia, Sub-Saharan Africa, and Southeast Asia. Using a 22-question survey, the study examined how income, cultural norms, and health perceptions influence food choices among low-income populations. Findings indicate a significant dietary shift. About 85% of participants reported consuming more low-cost foods such as noodles, white bread, and biscuits compared to five years ago. Although most respondents were aware of the negative health impacts, they prioritized affordability and satiety. Social factors also played a role, with 73% expressing embarrassment about their food choices due to community judgment. Only 29% had received any dietary advice from healthcare professionals. The results highlight that unhealthy eating is not simply a matter of individual choice, but is strongly shaped by poverty and structural constraints. Participants expressed a desire to improve their health but lacked access to resources such as affordable, nutritious food, financial support, and land for cultivation. Addressing non-communicable diseases requires more than awareness campaigns; it demands systemic interventions to make healthy food accessible and affordable for vulnerable populations. Education and Development Lab 2026-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/6 ark:48915/JEDLBD7377-NWZS 10.5281/zenodo.20043498 Journal of Education and Development Lab; Vol. 1 No. 1 (2026): June Issue; 81-99 en https://jedl.us/index.php/jedl/article/view/6/6 Copyright (c) 2026 Naznin Akter (Author) https://creativecommons.org/licenses/by-nc/4.0

oai:jedl.us:article/7 2026-10-04T17:59:13Z jedl:ART driver

The Impact of Islamic Educational Philosophy on Youth Development in Bangladesh Amiri, Sayed Majhab Hasan Islamic educational philosophy youth development Bangladesh madrasah education character formation moral development positive youth development Islamic educational philosophy has shaped moral landscapes, social identities, and civic values in Muslim-majority societies for over fourteen centuries. In Bangladesh, a nation where approximately 91% of the population identifies as Muslim (Bangladesh Bureau of Statistics, 2022) and where a dual educational system of modern secular and traditional Islamic (madrasah) institutions coexists, understanding how this philosophical tradition is associated with youth development is both academically urgent and socially consequential. This study investigates the relationship between Islamic educational philosophy and the moral, social, leadership, and identity development of Bangladeshi youth aged 14–25. Employing a convergent parallel mixed-methods design, the research draws on survey data collected from 320 students (160 male, 160 female) across six educational institutions in Dhaka, Comilla, and Sylhet, supplemented by semi-structured interviews with 24 educators and 12 Islamic scholars. Thematic analysis of qualitative data and descriptive-inferential statistical analysis of quantitative data reveal that engagement with Islamic educational philosophy is significantly and positively associated with moral reasoning, prosocial behaviour, and civic identity among Bangladeshi youth. Specifically, institutions integrating Quranic epistemology with modern pedagogy demonstrate stronger outcomes across all five measured developmental dimensions. However, persistent challenges, including curriculum rigidity, gendered access disparities, and a perceived tension between Islamic credentials and employment markets, constrain the full transformative potential of the tradition. The study concludes with evidence-based recommendations for curriculum reform, policy integration, and teacher professional development. Education and Development Lab 2026-09-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/7 ark:48915/JEDLBD2794-LDTX 10.5281/zenodo.20026141 Journal of Education and Development Lab; Vol. 1 No. 2 (2026): September Issue; 100-112 en https://jedl.us/index.php/jedl/article/view/7/10 Copyright (c) 2026 Sayed Majhab Hasan Amiri (Author) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:jedl.us:article/8 2026-10-04T17:59:09Z jedl:ART driver

The Pillars of Faith: A Guide to the 28 Fundamental Seventh-day Adventist Beliefs Amiri, Sayed Mahbub Hasan Fundamental Beliefs Adventist doctrine Pillars of Adventism SDA Church beliefs Seventh-day Adventist beliefs The Seventh-day Adventist Church, a Christian denomination with a global presence, articulates its theology through a formal statement of 28 Fundamental Beliefs. This article, titled "The Pillars of Faith: A Look at the 28 Fundamental Beliefs of Adventists," seeks to demystify these doctrines by presenting them not as a rigid checklist, but as a cohesive and interconnected story. Drawing on the historical metaphor of "pillars" used by early Adventist pioneers, the article organizes the beliefs into thematic categories to enhance understanding. It explores the foundational doctrines of Scripture and the Godhead, the distinct Adventist understanding of humanity as a holistic unity, and the cosmic narrative of the "Great Controversy" between good and evil. The piece further examines the beliefs concerning salvation, the practical expressions of faith including the seventh-day Sabbath and stewardship and culminates in the eschatological hope centered on the Second Coming and the restoration of a New Earth. Ultimately, this article argues that the 28 beliefs are more than a list of theological propositions; they form a comprehensive description of a relationship with a creating, redeeming, and returning God, offering a framework for understanding human existence and destiny. The goal is to provide the curious reader with a clear, accessible roadmap to the core tenets of Adventist Christian faith. Education and Development Lab 2026-09-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/8 ark:48915/JEDLBD7545-LXRW 10.5281/zenodo.18862428 Journal of Education and Development Lab; Vol. 1 No. 2 (2026): September Issue; 113-146 en https://jedl.us/index.php/jedl/article/view/8/11 Copyright (c) 2026 Sayed Mahbub Hasan Amiri (Author) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:jedl.us:article/9 2026-10-04T17:59:04Z jedl:ART driver

Machine Learning Applications in Smartphone Healthcare Services and Fraud Detection: A Ten-Year Systematic Literature Review Zahan, Atiar Healthcare Systems Mobile application Android Machine learning Deep learning Bangladesh’s government-run health system is heavily subsidized yet remains underfunded. According to WHO (2010), health expenditure accounts for only about 3% of GDP. The government provides 34% of total health expenditure (THE), while individuals pay 66% through out-of-pocket (OOP) payments, resulting in substantial inequity in access to care. Drawing on secondary data, this review examines the strengths and weaknesses of Bangladesh’s health system. Bangladesh has made notable progress on health-related Millennium Development Goals (MDGs), particularly MDGs 4 and 5, but it still lacks a coherent health policy for system development despite a rapidly growing private sector focused on tertiary care. As smartphone ownership has become widespread, mobile applications are increasingly used to simplify daily life, creating demand for smartphone-based healthcare services. However, this digital health market is also vulnerable to fraud, especially medical insurance fraud. Manual detection of healthcare fraud is difficult, so machine learning and data mining have been used to automate the process. Many studies have applied these techniques to healthcare fraud detection, yet further research and more sophisticated machine-learning methods are needed to identify atypical patterns in health insurance usage. This review synthesizes literature from the past ten years on smartphone-based healthcare services and machine-learning-driven fraud detection for improving the healthcare system. Education and Development Lab 2026-09-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/9 ark:48915/JEDLBD6689-YQVG 10.5281/zenodo.22728237 Journal of Education and Development Lab; Vol. 1 No. 2 (2026): September Issue; 147-153 en https://jedl.us/index.php/jedl/article/view/9/9 Copyright (c) 2026 Atiar Zahan (Author) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:jedl.us:article/27 2026-10-04T17:59:01Z jedl:ART driver

Integrated Algal Bioadsorption for Removing Major Pollutants from Textile Effluents by Low-Cost Photobioreactor and Generating Valuable By-Products Anjum, Faija Labib, L.M. Mahir Bioadsorption Circular bioeconomy Cladophora Phycoremediation Textile wastewater The increasing environmental strain of untreated or poorly treated textile effluents is one of the most critical issues facing the industrial ecology and the healthcare systems of the people in the world. The current research introduces an integrated system of phycoremediation that uses Cladophora algae as a primary biological treatment of textile wastewater, with strategic biomass valorization that will allow for the creation of an economic system. A cost-effective photobioreactor (PBR) was developed, built, and streamlined based on recyclable materials found locally to enable the effective growth of algae and the maximum utilization of the removal performance. The system aims to remove three key types of textile contaminants, such as azo dyes, heavy metals, and organic pollutants, by synergistically using bioadsorption and biodegradation processes. The experimental outcomes showed a removal efficiency of above 85 percent and removal of azo dye above 90 percent under optimum operating conditions. The algal biomass obtained was effectively used to produce two useful by-products, namely, high-performance bioadsorbents to be further used in the treatment process and natural textile dyes that can be easily converted into supplementary economic value at the same time, decreasing the total operation costs. In comparison to traditional wastewater treatment systems, it can be seen that the proposed solution can offer much lower energy use, a small amount of sludge, and improved sustainability indicators across a variety of environmental impacts. This model introduces a cost-efficient scaling solution that balances the environmental cleanup with the circular bioeconomy that is especially relevant in the textile sector of the developing economy, where the legacy treatment infrastructure is still too expensive to use. Education and Development Lab 2026-09-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/27 ark:48915/JEDLBD4799-BZFX 10.5281/zenodo.22800705 Journal of Education and Development Lab; Vol. 1 No. 2 (2026): September Issue; 154-166 en https://jedl.us/index.php/jedl/article/view/27/12 Copyright (c) 2026 Faija Anjum, L.M. Mahir Labib (Author) https://creativecommons.org/licenses/by-nc-sa/4.0

oai:jedl.us:article/29 2026-10-04T17:58:57Z jedl:ART driver

From Sensors to Insights: Leveraging Intelligent Data Mining for Precision Farming and Decision Support Noor, S.M.Abtahi Reza, Sarrinah Binta Precision Agriculture Internet of Things Satellite Remote Sensing Deep Learning Time-series Forecasting Decision Support Systems Climate change, resource scarcity, and growing weather variability make sustainable farm management increasingly difficult. This study presents a precision-agriculture framework that fuses real-time Internet of Things (IoT) measurements with satellite-based environmental information to support data-driven decisions. Low-cost wireless sensor nodes record soil moisture, pH, air temperature, relative humidity, water turbidity, and total dissolved solids, and we combine these field streams with NASA Earthdata, Landsat, and Agriculture and Water Management Data Pathfinder products. We clean, validate, normalize, and align the heterogeneous data in time and space before modeling. We use four task-specific models: YOLOv5 for plant disease and pest detection, a long short-term memory (LSTM) network for short-term ultraviolet (UV) index forecasting, a CNN2D-BGRU network for weather forecasting, and an RF-LSTM-Attention model for seasonal rainfall prediction to support flood and drought assessment. Outputs are delivered through a web-based decision-support platform with live visualizations and threshold-based alerts. The detector achieved 92.1% accuracy (95% CI 87.4–95.2%), 94.7% recall, and a Matthews correlation coefficient of 0.84. The UV model achieved a mean absolute error of 0.249 index units, and the rainfall model a mean absolute percentage error of 9.49%. A prevalence-aware analysis shows that at 10% field disease prevalence, only half of image-based alerts would be true positives, and that using IoT microclimate conditions as a prior can raise alert precision to about 79%. These results support multi-source fusion for precision agriculture, while sensor reliability, missing data, extreme weather, and model generalization remain open challenges. Education and Development Lab 2026-09-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article application/pdf https://jedl.us/index.php/jedl/article/view/29 ark:48915/JEDLBD7545-SMAN 10.5281/zenodo.23138969 Journal of Education and Development Lab; Vol. 1 No. 2 (2026): September Issue; 167-179 en https://jedl.us/index.php/jedl/article/view/29/13 Copyright (c) 2026 S.M.Abtahi Noor, Sarrinah Binta Reza (Author) https://creativecommons.org/licenses/by-nc-sa/4.0