Purpose: The study aims at determining a new and complete picture of the ongoing online teaching-learning model based on the university student’s perception of online learning and university teachers’ experiences with their online teaching. Methodology: This study followed a mixed-method approach where both qualitative and quantitative methods are applied. In total 335 university students of both males and females are selected randomly using a questionnaire through Google format. Results: Online platform is the best option to save students from collapsing the academic world in the pandemic situation and so this study developed a new teaching and learning model analysing the practical situation of respondents. It is the main result of it. Limitations: We started this research in 2021 during the horrible COVID-19. Due to which we could not go to the field and collect the data, we have collected the data through the online platform. These are the major limitations of the study. Contribution: However, we mentioned a model for maintaining a graduate-level educational system if any kind of pandemic will come in the future. Keywords: 1. COVID -19 2. Online Teaching-Learning 3. Perceptions and Experiences
Bangladesh is a land of natural calamities. Due to locational disadvantages, especially being situated at the tip of the funnel-shaped Bay of Bengal on the south and at the foot of Himalayas on the north, every year it experiences a number of different types of natural calamities, such as flood, cyclone, river bank erosion, drought etc. As a result of climate change events, an increasing trend in frequency has been observed in recent time. Spatial distribution of natural calamities portraits northern part as prone to flood, western part to drought, eastern part (basically hilly region) to flash flood and southern part to cyclone. The Southern part, especially the coastal belt of the country is the worst affected area to cyclones and their ultimate effects. Among these cyclones, Aila was a severe one that tore through the area in 2009 affecting the livelihood of the inhabitants. This study is an effort to discuss the inhabitants’ vulnerability and their adaptation strategies to economic changes caused by Aila, such as occupation, income, expenditure capacity, savings, housing structures, general and agricultural land use etc. For the study required data has been collected from both primary and secondary sources. Primary data have been collected through questionnaire survey and group discussion while secondary data, especially satellite images have been collected from Google Earth. Then different softwares like SPSS have been used for analysis and graphic presentation of the collected primary data, and ERDAS IMAGINE and ArcGIS have been used for mapping analysis and presentation. The research findings indicate that because of the cyclone Aila, economy of the area has taken downturn. Most of the people were engaged in agriculture allied activities, but after Aila, agricultural land had been converted into aquaculture. Consequently, people have switched to occupations with lesser earnings, such as daily labour, rickshaw puller, brick field worker etc. As a result, people had to reduce all sorts of daily consumptions to cope up with the changing situation. The Governmental Organisations and the Non-Governmental Organisations extended little help to rebuild houses, embankment, road, reforestation etc. but not towards any income generates activities. So, the livelihood of the people is still vulnerable in terms of economy, and attention of the responsible authorities needs to be drawn to create income generating activities to recover the vulnerable situation in the study area.
Purpose: The research has been conducted to find out how the smart device is changing and controlling human’s social, cultural, and economic lifestyles. Research methodology: The study is quantitative in nature. The multiple-choice questionnaire has been prepared to collect the data from 261 respondents through the survey method using Google format and focusing on the simple random sampling technique. Here, data were analyzed through Microsoft Excel, handmade calculation. Results: The research found that respondents’ social life (71.65%), economic life (80.84%), and cultural life (79.31%) are shaped by smart devices in a positive way. Their social life (28.35%), economic life (19.16%), and cultural life (20.69%) are also shaped by smart devices in a negative way. The portion of positive change and control is more than the portion of negative. Limitations: The study is limited by sample size, geographical area, and data which are taken by using Google format instead of face-to-face interaction with respondents due to the COVID-19 pandemic. Contribution: All sorts of people will be benefited from studying this study. They will be understood how participants adopt western culture ignoring their own tradition, value system, and culture. Keywords: 1. Change 2. Control 3. Habit 4. Lifestyle 5. Smart devices
Linseed is a multipurpose crop and the crop needs further improvement to increase production and yield due to its high value and demand. This study aimed to assess the extent and pattern of genetic variability of forty linseed genotypes based on diverse agro-morphological and yield attributes. The field experiment was conducted following a Randomized Complete Block Design with three replications. Linseed germplasm showed a wide range of phenotypic expression, genetic variability and heritability for 30 studied traits. A low to high phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were observed. The lowest genotypic (σ 2 g) and phenotypic variances (σ 2 p) were found in capsule diameter (CD), length of calyx (LC), capsule length (CL), seed length (SL), and seed breadth (SB). High broad-sense heritability (h 2 b ) with high genetic advance as a percentage of mean (GAM) were observed in days to germination started (DGS), days to 80% emergence (DE), plant height at 28 and 40 DAS, number of flowers (NFPP), filled capsules (NFCPP) and yield per plant (YPP) indicating additive gene action exists for these characters. Hierarchical cluster analysis separated 40 genotypes into five clusters, where Clusters I to V assembled with 13, 4, 4, 5 and 14 genotypes, respectively. Considering yield and yield attributes, Cluster-IV (G3, G4, G6, G10 and G31) genotypes showed promising while, Cluster-II (G2, G16, G35, G36) and Cluster-III (G1, G33, G39 and G40) genotypes were dominant on plant morphological traits. Based on principal component analysis (PCA), few characters such as YPP, NFPP, NFCPP, days to first flowering and capsule formation, early emergence, days to branch initiation and plant heights at different growth stages revealed important and effective traits for consideration in the selection of linseed breeding programs.
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