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Title: Traditional Continuousness and Market Services: A Mixed-Method Field Study of Khadi Weaving Communities in Cumilla, Bangladesh

Abstract: A mixed-methods field study in Cumilla District, Bangladesh, from October 2025 to February 2026 studies Khadi manufacture and community well-being. It also illustrates global market entry issues. Primary data came from 360 semi-structured artisan interviews, 8 64-person focus groups, 300 household surveys from five upazillas, and 120 hours of participant observation. This study analyzed qualitative data (1,847 coded references, 24 nodes/6 themes) using NVivo 14 and evaluated quantitative dichotomous outcomes (well-being, market access, and GI awareness) using Fisher's Exact Test, One-Proportion Z-Test, Point-Biserial Correlation, McNemar's Test, and Cohen's Kappa (?=0.87).Major findings indicate that 71.4% of craftsmen experience emotional fulfillment in Khadi production, with present artists reporting superior well-being than former craftspeople (WHO-5 mean: 68.3 vs. 52.1; OR=4.82, p<0.001). GI certification increased average monthly wages 28.4% (BDT 8,450–10,850), however 62% are below the national living wage. Young people's engagement decreased from 42% (2010) to 18% (p<0.001) due to limited opportunities and a dismal income outlook (67%). Only 12% of people have access to global markets, and digital literacy highly corresponds with export activity (r_pb=0.42, p<0.001). These findings help the Craft-Centered Marketing Methodology (CCMM) balance market integration and cultural continuity utilizing the "Story-Value-Connection" (SVC) framework for sustainable Khadi growth.

By S.K.S. Yadav, Muhammad Mahboob Ali, Kiran
In Volume: 15,Issue: 1
Title: The Theory and Practice of Conceptual Aspect of Democracy - A Critical Review

Abstract: Democracy is a way of life. It provides “Possibility of concurrence in action without the preliminary necessity of shared religion, moral conviction or political program. The democratic temper may lead to readiness to accept an other’s truth to be as good as his own, and therefore to enter into community, so far as it is possible to secure a reconciliation. ‘Democracy is traditional to level for the so called fundamental issues, which in any view, remain fundamental even if a number of schools apparently consider them obsolete’. The expressions ‘democracy’ and ‘democratic’ have been used in varying senses in different countries and in many places have been subjected to denote the state of affairs which is in complete negation of the meaning in which they are understood. The three spheres of Democracy are Political, economic and social. Political democracy means the Government by the people, economic democracy connotes the control of the means of production and social democracy means the abolition of social Privileges.

By Surendra Nath Yadav
In Volume: 15,Issue: 1
Title: Impact of AI-Powered Personalized Learning on Self-Regulated Learning, Academic Engagement, and Learning Autonomy among Secondary School Students

Abstract: There have been numerous ways in which Artificial Intelligence (AI) has revolutionized the educational process through its ability to deliver adaptive instruction, intelligent tutoring, feedback mechanisms, learning analytics, and learning through Generative AI. AI-driven personalized learning is able to provide personalized education for students, thus not only enhancing the academic achievements but also the processes involved in regulating and engaging in learning. Several studies have found that AI is able to facilitate self-regulated learning (SRL), depending on the technological design, instructional context, length of intervention and level of teacher and learner participation (Zhu & Sari, 2026; Xu et al., 2026). The current paper focuses on the possible effect of AI-driven personalized learning on three related learner outcomes including self-regulated learning, academic engagement, and learning autonomy among secondary school students. This research brings together international literature along with Indian literature such as Babbar, Raju and Kumari’s studies regarding Generative AI and Learning Efficiency in the Indian educational setting. The structured research approach and quantitative method are introduced, and then illustrated with statistical findings. The literature indicates that personalisation through AI can be effective in terms of helping learners to monitor and regulate their activities; however, it will not help in case the dependence on technology becomes too high and there is no pedagogical scaffolding present. That is why the paper concludes in favour of human-centered approach and AI as a tool rather than substitution of teachers and cognitive processes.

By Rajesh Kumar Raju, Monika Kumari
In Volume: 15,Issue: 1
Title: Digital Payments and Fraud in India: A Systematic Review of UPI's Growth and Machine Learning-Based Detection Frameworks

Abstract: India's Unified Payment Interface (UPI) can be stated as the most revolutionary payment system of the twenty-first century. It processed over 21 billion transactions worth ?27.97 lakh crore in December 2025 alone. These figures dictate both its remarkable reach and the security challenges it presents. Since its launch in April 2016 by the National Payments Corporation of India (NPCI), UPI has outpaced traditional digital payment systems, and now over 85% of digital transactions in India are done using UPI. Though the growth is remarkable, it allows new kinds of frauds and scams to arise. Studies show that digital fraud has surged by 346% during COVID-19. This paper examines the empirical and review studies from 2017 to 2026 related to the intersection of UPI’s exponential growth and evolving landscape of digital payment frauds in India. The study critically evaluates the most dominant types of fraud typologies, like phishing, QR code manipulation, KYC impersonation, and social engineering scams, along with the methods used for the prevention of such types of fraud, like machine learning and deep learning architectures. The review finds that machine learning and deep learning architectures achieved over 99% accuracy in the detection of fraud. There are still persistent challenges like class imbalance, data privacy, and adaptive fraudulent behavior. The paper argues that effective fraud mitigation and prevention require more than algorithmic advancement. A multi-layered response integrating system, regulatory dimensions, and user awareness is still required to tackle and prevent fraudulent activities.

By Abhishek Mishra and Dr. Mahendra Pal Singh Yadav
In Volume: 15,Issue: 1
Title: Live-in-Relationships and Socio - Legal Challenges in India

Abstract: Due to the absence of legal protection for property rights, live-in relationships continue to be socially stigmatised in India, especially in traditional groups. Property rights are usually valued by married couples, and live-in partnerships are not specifically recognised by Indian law. The difficulties that live-in couples encounter may be made worse by this lack of family support. Without legal recognition, issues pertaining to inheritance rights and child custody become complicated. Although it offers some protection against domestic abuse, the Protection of Women from Domestic Violence Act of 2005 can be difficult to apply and enforce. Partners can not have the same financial rights or job benefits as married spouses. Despite these challenges, perceptions about cohabitation are gradually shifting, especially among younger people and in urban areas. Comprehensive legislative reforms are necessary to address the socio-legal problems that cohabiting couples face and to provide them with adequate protection and rights.

By Mohd Danish Khan, Pushkar Raj
In Volume: 15,Issue: 1
Title: GDP, Unemployment, Government Expenditure in Bangladesh: Testing the Relevance of Okun’s Law

Abstract: This study examines the dynamic relationship among Gross Domestic Product (GDP), unemployment, and government expenditure in Bangladesh from 2010 to 2025. The analysis highlights a period of robust economic performance, with GDP growth consistently averaging above 6%, driven primarily by manufacturing, garment exports, and the service sector. Despite the significant disruption caused by the COVID-19 pandemic in 2020, which saw growth dip to 3.45%, the economy demonstrated structural resilience and a rapid recovery. Concurrently, government expenditure has expanded significantly as a fiscal tool for development, particularly through large-scale infrastructure projects and social safety nets. Public spending rose from BDT 1,217 billion in 2016 to over BDT 2,218 billion by 2025. However, this expansionary stance has not fully addressed labor market inefficiencies. Unemployment has remained relatively stable between 3% and 5%, suggesting that the link between GDP growth and job creation is weak, thereby offering only limited support for Okun’s Law in the Bangladeshi context. The study identifies persistent structural challenges, including high youth unemployment and skill mismatches, and concludes that inclusive growth policies and labor market reforms are essential to translate macroeconomic gains into sustainable employment generation.

By S.K.S. Yadav, Imran Hosen, Dhwani Gupta
In Volume: 15,Issue: 1

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