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A Case Study In Resiliency: How A University Survived A Pandemic, Mary Ellen Stewart
A Case Study In Resiliency: How A University Survived A Pandemic, Mary Ellen Stewart
Dissertations
This case study was conducted to investigate how the COVID-19 pandemic affected the campus of a small private university in central Mississippi, where traditionally, relational community and interaction were key contributors to campus culture. Through document analysis, individual interviews with campus leaders, and focus groups consisting of members of key departments, the role of resiliency was examined during the early days of the COVID-19 pandemic. Emerging from the data were the four thematic categories of leadership, campus culture, engagement and interaction, and challenges. Key components in each category revealed the significance of resiliency of university leaders, faculty, and staff as …
Rapid Transition Of A Technical Course From Face-To-Face To Online, Swapna Gottipatti, Venky Shankaraman
Rapid Transition Of A Technical Course From Face-To-Face To Online, Swapna Gottipatti, Venky Shankaraman
Research Collection School Of Computing and Information Systems
Just like most universities around the world, the senior management at Singapore Management University decided to move all courses to a virtual, online, synchronous mode, giving instructors a very short notice period—one week—to make this transition. In this paper, we describe the challenges, practical solutions adopted, and the lessons learnt in rapidly transitioning a face-to-face Master’s degree course in Text Analytics and Applications into a virtual, online, course format that could deliver a quality learning experience.
Factors In The Probability Of Covid-19 Transmission In University Classrooms, Charles Connor
Factors In The Probability Of Covid-19 Transmission In University Classrooms, Charles Connor
Numeracy
University students and faculty members need an effective strategy to evaluate and reduce the probability that an individual will become infected with COVID-19 as a result of classroom interactions. Models are developed here that consider the probability an individual will become infected as a function of: prevalence of the disease in the university community, number of students in class, number of class meetings, and transmission rate in the classroom given the presence of an infected individual. Absolute probabilities that an individual will become infected in a classroom environment cannot be calculated because some of these factors have unknown values. Nevertheless, …