Agricultural sector accelerates a nation’s economic growth towards sustainable development. There exists a significant relationship between agriculture and the environment. Sustainable agricultural development ensures food quality and in tandem prevents natural calamities like drought. However, in order to fulfill the food demand of a growing population, poor law quality and untenable agriculture practices arise, which in turn lead to environmental degradation. The current study explores the relationship between the agro-economic atmosphere and CO₂ emissions as a measure of environmental degradation in Bangladesh between the years of 1985 and 2017. To exhibit the long-run relationship of agricultural ecology and carbon dioxide emissions, three cointegrated equations- Fully-modified ordinary least square (FMOLS), Dynamic ordinary least square (DOLS), and Canonical cointegrated regression (CCR) were assessed. For cointegration, Bayer-Hanck cointegration was implied. In long-run estimates, it was found that livestock, rice area harvested, cereal production, and other crop production impeded environmental dilapidation. The Granger Causality Test enabled unidirectional causality towards burned biomass (crop residues), the agricultural economy, and carbon emissions. Therefore, this dimension’s causality concluded that carbon dioxide emissions were caused by cereal production, other agricultural production, and agricultural land production. The overall findings of this study could potentially assist the Government of Bangladesh and the necessary authorities for implementing synchronized policies to help reduce environmental pollution and set an example for other developing nations like Bangladesh.

The COVID-19 pandemic caused higher education institutions to switch to online learning. This unique endeavor is being investigated to protect high-quality education. Due to its hasty and emergency implementation, students may have different opinions about this new education system. The primary objective of this study is to investigate the relationships between constructs such as students perceived effectiveness, institutional facility, teaching material, and overall satisfaction during the COVID-19 outbreak. Adopting a quantitative research approach, this study was conducted between November 8, 2020, and February 12, 2021, in private universities in Bangladesh. Data were utilized in structural equation modeling (SEM). The findings revealed that perceived effectiveness (0.68, p-value0.01), institutional facility (0.23, p-value0.01), and teaching material (0.14, p-value0.01) are all positively and significantly associated with satisfaction with an online class module. In addition, trajectory analysis establishes a link between satisfaction and effectiveness in e-learning through the SEM. The results of the study also indicate a strong and positive correlation between satisfaction with an online class module and perceived effectiveness, institutional setting, and teaching material. This study will serve as a catalyst for understanding students satisfaction in an online environment, as well as a benchmark for various stakeholders, particularly policymakers, practitioners, academicians, and institution owners, to take the necessary steps to ensure a sustainable online learning platform.

As technological advancements shape the workforce, computational thinking skills (CTS) are becoming increasingly crucial. The objective of the study is to explore the potential mediating role of professional development and career planning in the association between robotic coding and software and computational thinking. The study selected 308 youths using simple random sampling and the collected data was subjected to structural equation modelling (SEM) and confirmatory factor analysis (CFA) using SmartPLS. Additionally, demographic data were analyzed using statistical package for social sciences (SPSS). The results concluded that the instrument adopted fulfilled the requirements and was valid for measuring CTS. This indicates that the instrument effectively assessed the participants’ proficiency in CTS. The findings of this study have implications for addressing the skills gaps among youths. The outcomes of this research can aid in designing educational interventions and policies that focus on developing computational thinking skills among new graduates. By fostering these skills, youths can better adapt to the demands of the rapidly evolving technological landscape and contribute effectively to the industries and job market influenced by industry 4.0. Further research on longitudinal studies may be beneficial to assess the long-term impact of CTS development initiatives on reducing skills gaps and ensuring youths are equipped for future workforce requirements.

Despite improvements in Bangladesh’s socioeconomic circumstances and numerous public health initiatives, child malnutrition remains a serious public

Self-esteem is one of the most essential attributes for the mental, social, and economic well-being of women, yet there are insufficient validated scales f