Abstract: Based on in-depth case studies of forty students from all academic departments, this study offers a thorough qualitative examination of the admission experiences and satisfaction of students at Bangladesh University of Business and Technology (BUBT). This study finds important factors impacting admission decisions, student happiness, and retention intentions using NVivo 14 software for rigorous qualitative data analysis.
The results show a complicated paradox: although 90% of students selected BUBT mainly because of its reasonably priced tuition (20,000–25,000 BDT per semester), they also voiced serious discontent with the qualifications of the instructors, classroom conduct, bullying on Facebook, and subpar housing. With 92.5% of female students satisfied, the proctorial system was found to be the most favorable element. Nonetheless, 65% of students said they had witnessed or experienced instructor annoyance in the form of yelling, canceling classes, or acting insultingly, and 85% of students desired senior teachers with PhDs.
The fact that 80% of students said they would be willing to pay an additional 5,000–10,000 BDT per semester if BUBT hired internationally renowned PhD staff and addressed behavioral concerns with teachers is also remarkable. Additionally, 45% of students saw their institution rating as a direct advantage for their own careers, according to the report. Eight evidence-based recommendations, with projected implementation timescales ranging from immediate to two years, are included in the research's conclusion. These recommendations include urgent PhD faculty recruitment, teacher training programs, hostel expansion, and official Facebook group moderating.
Abstract: Climate change has become a critical driver of contemporary security challenges, reshaping geopolitical alignments and intensifying security dilemmas in an increasingly multipolar international order. This paper examines the climate–security nexus from India–Europe perspectives, highlighting how climate-induced risks—such as extreme weather events, resource scarcity, displacement, and threats to critical infrastructure—act as threat multipliers that exacerbate existing conflicts and complicate global stability.
From the European perspective, climate security has gained strategic significance in the aftermath of the COVID-19 pandemic and the Russia–Ukraine war, which exposed vulnerabilities related to energy dependence and supply-chain disruptions. Consequently, Europe increasingly integrates climate action with energy transition, strategic autonomy, and foreign policy objectives. In contrast, India approaches climate security through the lens of development, resilience, and equity, prioritizing adaptation, energy access, and disaster preparedness while emphasizing differentiated responsibilities in global climate governance.
The paper argues that these differing priorities generate security dilemmas in areas such as clean energy competition, access to critical minerals, climate finance, and technological standards. At the same time, expanding India–Europe engagement through green technology cooperation, resilient supply chains, and inclusive climate governance offers opportunities to mitigate climate-related security risks. The study concludes that strengthened India–Europe cooperation is essential for managing climate-driven insecurities and contributing to global stability in an era of accelerating environmental and geopolitical change.
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.
Abstract: Based on in-depth case studies of forty students from all academic departments, this study offers a thorough qualitative examination of the admission experiences and satisfaction of students at Bangladesh University of Business and Technology (BUBT). This study finds important factors impacting admission decisions, student happiness, and retention intentions using NVivo 14 software for rigorous qualitative data analysis.
The results show a complicated paradox: although 90% of students selected BUBT mainly because of its reasonably priced tuition (20,000–25,000 BDT per semester), they also voiced serious discontent with the qualifications of the instructors, classroom conduct, bullying on Facebook, and subpar housing. With 92.5% of female students satisfied, the proctorial system was found to be the most favorable element. Nonetheless, 65% of students said they had witnessed or experienced instructor annoyance in the form of yelling, canceling classes, or acting insultingly, and 85% of students desired senior teachers with PhDs.
The fact that 80% of students said they would be willing to pay an additional 5,000–10,000 BDT per semester if BUBT hired internationally renowned PhD staff and addressed behavioral concerns with teachers is also remarkable. Additionally, 45% of students saw their institution rating as a direct advantage for their own careers, according to the report. Eight evidence-based recommendations, with projected implementation timescales ranging from immediate to two years, are included in the research's conclusion. These recommendations include urgent PhD faculty recruitment, teacher training programs, hostel expansion, and official Facebook group moderating.
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.
Abstract: Technology has emerged as a transformative force shaping global development, social equity, and environmental sustainability. From artificial intelligence and digital health systems to renewable energy and smart infrastructure, technological innovation is redefining economies, governance, and human well-being. However, unequal access to digital resources, infrastructural disparities, and ethical challenges continue to widen global inequalities. This chapter explores how technology functions as a catalyst for global change by examining its role in innovation ecosystems, social inclusion, and sustainable development. It critically analyzes digital transformation across sectors such as healthcare, education, industry, and environmental management, while addressing issues of digital divide, data governance, and ethical responsibility. The chapter further aligns technological advancements with the Sustainable Development Goals (SDGs), emphasizing inclusive innovation and policy-driven transformation. Through conceptual frameworks and global case illustrations, it proposes a balanced pathway that integrates innovation with equity and sustainability. Ultimately, the chapter argues that technology, when guided by ethical governance and inclusive policies, can serve as a powerful instrument for achieving resilient and sustainable global futures.