A grounded theory for the dissatisfaction of asynchronous online education among community college students

As higher education institutions face the pressures of decreasing enrollment, online education is experiencing significant growth. Students are attracted to asynchronous online courses’ flexibility but often have inconsistent experiences. Previous research focused on drivers of satisfaction for online learning; this study concentrated on identifying the drivers of dissatisfaction for asynchronous online delivery among community college students. This study utilized a survey and semi-structured interviews to generate a grounded theory answer to the drivers of dissatisfaction. A survey based on Moore’s Transactional Distance Theory model broadly identified the areas of most significant concern for students with experience with asynchronous online courses. That survey informed the question prioritization within the semi-structured interview process. The Charmaz Grounded Theory model was used to deconstruct, analyze, and reaggregate the data collected into a meaningful theory, the Theory of Dissatisfaction Contributors. The three contributing categories to the theory are a feeling of being unsettled, unaligned expectations, and operational challenges. Understanding these sources of dissatisfaction can help with student retention and success

Demystifying the Qualitative Coding Process: Insights from a Rookie

The coding process is mysterious and terrifying for those new to qualitative methods. The existing guides are either highly theoretical and abstract or incredibly detailed and nuanced. Subjectivity and flexibility, strengths of qualitative coding, are challenging for those new to the process. This article is intended for the new researcher who desires coding examples and the intuition associated with each decision. Offering details on subjective decisions encountered by a rookie researcher moves away from abstract theoretical examples to practical applications and decisions that need to be made by the qualitative researcher

Online Education in the Age of Social Media Influencers: Applying Net Promoter Scores to Asynchronous Online Delivery

Online students are mobile and networked and expect quality online classes. Dissatisfied online students’ educational choices are not limited to institutions with their geographical region. The ability of students to disseminate information about dissatisfactory educational experiences to potential student enrollees has increased with the growth of social media. Organizations wishing to use online enrollment as a growth mechanism or offset physical enrollment decreases need tools to understand their perceived market value and quality. A frequently used tool for consumer satisfaction, the Net Promoter Score (NPS), has rarely been applied to academia. This article highlights the application of NPS to online asynchronous education and its value beyond the traditional measures commonly used in higher education

Climate change and its effects on Norwegian potato production:How to counteract the negative impacts of soil compaction by implementing a predictive simulation model

In a world where the population is immersed in the negative effects of climate change, and the extreme weather conditions that emerge, several papers discuss its effect on agricultural practices, and which innovations are crucial. One of the paramount factors in agricultural practices, that is heavily affected by excessive precipitation as a result of extreme weather, is soil compaction. We want to assess whether climate forecasts can help farmers reduce the impacts of soil compaction, and by doing so, create a higher sense of predictability in future production. Hence, we create a model simulating how extreme weather conditions impact the soil moisture levels throughout potato production. In the simulation model, we use historical precipitation data from the driest year (2018), and the wettest year (2005) in Norway since 1993. Our model is simplified, but, taking into account the complexity of the hydrologic cycle and its effects on soil moisture levels, we are able to provide a basic framework of the moisture levels throughout the potato production process. We implement optimal and critical moisture levels in the simulation, in order to see whether we are able to limit the amount of operations relying on heavy machinery, when the soil is too wet. Overall, the results show that heavy precipitation does have a substantial impact on soil moisture levels, and how they effect soil compression. With future extreme weather conditions causing heavy rainfall, precipitation is one of the largest moments of insecurity for farmers, and their agricultural practices. A model with focus on soil moisture levels, and how to combat soil compression, could decrease the sense of uncertainty for farmers around the globe. An assessment of the literature shows that the negative effects of soil compaction in agricultural processes are prevalent. However, as there is a limited amount of studies that model soil compaction, we suggest that further research is necessary to counteract the extreme weather conditions caused by climate change, and the negative effects originating from soil compaction.nhhma

Review of a community hospital experience with carotid endarterectomy.

Carotid endarterectomy was performed 743 times during 56 months in a community hospital by 24 surgeons. The mortality rate was 2.7% and permanent stroke occurred in 1.8%. Temporary postoperative neurologic deficit occurred in 3.5%. The frequency with which the surgeon performed the procedure did not appear significant in the incidence of postoperative morbidity and mortality

Climate change and its effects on Norwegian potato production:How to counteract the negative impacts of soil compaction by implementing a predictive simulation model

In a world where the population is immersed in the negative effects of climate change, and the extreme weather conditions that emerge, several papers discuss its effect on agricultural practices, and which innovations are crucial. One of the paramount factors in agricultural practices, that is heavily affected by excessive precipitation as a result of extreme weather, is soil compaction. We want to assess whether climate forecasts can help farmers reduce the impacts of soil compaction, and by doing so, create a higher sense of predictability in future production. Hence, we create a model simulating how extreme weather conditions impact the soil moisture levels throughout potato production. In the simulation model, we use historical precipitation data from the driest year (2018), and the wettest year (2005) in Norway since 1993. Our model is simplified, but, taking into account the complexity of the hydrologic cycle and its effects on soil moisture levels, we are able to provide a basic framework of the moisture levels throughout the potato production process. We implement optimal and critical moisture levels in the simulation, in order to see whether we are able to limit the amount of operations relying on heavy machinery, when the soil is too wet. Overall, the results show that heavy precipitation does have a substantial impact on soil moisture levels, and how they effect soil compression. With future extreme weather conditions causing heavy rainfall, precipitation is one of the largest moments of insecurity for farmers, and their agricultural practices. A model with focus on soil moisture levels, and how to combat soil compression, could decrease the sense of uncertainty for farmers around the globe. An assessment of the literature shows that the negative effects of soil compaction in agricultural processes are prevalent. However, as there is a limited amount of studies that model soil compaction, we suggest that further research is necessary to counteract the extreme weather conditions caused by climate change, and the negative effects originating from soil compaction