Universities worldwide have been conducting e-learning during the COVID-19 pandemic to continue education irrespective of faculties are familiar with e-education or not. This study assessed perception and preference for e-teaching amongst 438 faculty members. Results revealed that around half of teachers were conducting e-classes without any training, and they also had conducted examinations using online platforms. Teachers perceived e-teaching as effective during the pandemic, time-efficient, easy to share materials, unsuitable for monitoring or conducting practical classes and less effective for evaluation. More than three-fourths of the teachers preferred online teaching during the pandemic, and most preferred both physical and mixed teaching in the post-pandemic era. Their preferences were influenced by their age, teaching experience, academic discipline, current residency, training on online teaching, hours of online classes taught per week, internet connection used, types of classes and whether they had given online examinations. The major challenges in online teaching during COVID-19 were difficulty in practical work, difficulty in monitoring students and insufficient feedback. This study suggests online teaching during the pandemic and mixed teaching after the pandemic. Training faculty members on online teaching, designing e-platforms suitable for examinations and ensuring stable internet connections are also recommended for effective and smooth e-education.

Background The universities of Bangladesh are closed for more than seventeen months due to the covid-19 pandemic. This prolonged detachment has psychological consequences among the students. This study assessed the anxiety level and its determinants among the undergraduate students of Bangladesh, along with constraints faced by them during e-learning. Methods A web-based cross-sectional survey among 206 undergraduate students was conducted using a well-structured questionnaire. Their anxiety level was estimated using Zung's self-rating anxiety scale (SAS) and determinates were identified by employing a Tobit model. The problem confrontation index (PCI) was used to rank the constraints. Results About 82.5% of the undergraduate students in Bangladesh are experiencing mild to extreme anxiety, while 14.08% are experiencing extreme anxiety. Students' gender, father's year of schooling, family size, residential area, academic year, current accommodation, and access to high-speed internet affect their level of anxiety. Learning alone at home, lacking access to learning resources and inaccessibility to other e-learning platforms are the top three constraints students faced during e-learning. Limitations Self-reported data, socio-demographic variables and online survey. Conclusion Covid-19 has been causing anxiety among the students. This study recommends providing better internet services for facilitating e-learning along with access to different e-learning platforms.

The current research sheds light on the nexus between environmental degradation as proxied by carbon dioxide emissions (CO₂), energy efficiency (EE), economic growth, manufacturing value-added (MVA), and the interaction effect of EE and MVA in India. Using yearly data from 1980 to 2019, the current study employs dynamic auto-regressive distribution lag (DARDL) simulations and Fourier Toda and Yamamoto causality techniques. The findings of DARDL reveal that as income and MVA rise, environmental quality decreases, while EE improves environmental conditions in both the long and short run. Surprisingly, the interaction term of EE and MVA has a detrimental influence on environmental quality, meaning that India remains unable to provide energy savings technologies to the manufacturing industry. Furthermore, the environmental Kuznets curve (EKC) hypothesis is well-founded for India, as the long-run income coefficient is smaller than the short-run coefficient, implying that India is in its scale stage of economy, where economic growth is prioritized over environmental quality. The results of the causality technique reveal that CO₂ emissions and EE have a bidirectional association. Therefore, policymakers in India should embrace realistic industrialization strategies combined with moderate decarbonization and energy efficiency initiatives under the umbrella of sustainable industrial and economic growth.