Finding and Categorizing COVID-19 Papers in CS Education

In the first 2 years following the outbreak of COVID-19, many papers have been published regarding the impacts and adaptations of the pandemic on computer science education. As a first step towards a systematic literature mapping, this study attempts to develop a process for searching and a categorization schema for papers. The goal of this project is to produce a literature map which will be used to provide an initial assessment of the state of research, as well as a framework for future research directions. Limiting our search to papers published in the ACM Digital Library in the publications sponsored by SIGCSE, we first create and validate a query and inclusion/exclusion criteria for papers. Using a double evaluator model, we find high agreement with a Cohen's Kappa of 0.93, resulting in 42 papers across 6 conference proceedings. We further validate these findings by independent checking against all papers from SIGCSE2021 TS. We then develop categories across three dimensions: In activity: we find remote teaching, remote assessment, remote work, virtual events and general impact of pandemic. In measurement: we find grades, non-grade assessment, attendance/retention, affect/perception, and mental health. In population: we find K-12 students, university/college students, Educators, and the sub-categories of introductory/CS0/CS1 students, gender, and race. Double rater assessments initially produced a relatively low Kappa score of 0.58, but after protocol revision, and the production of additional categories, the kappa score was raised to a very high 0.94. © 2022 Owner/Author.

Private health insurance consumption and public health-care provision in OECD countries: Impact of culture, finance, and the pandemic

In this paper, we investigate private health insurance (PHI) spending in Organization for Economic Co-operation and Development (OECD) economies for the period 2000–2020, with a focus on the impact of financial, cultural, and health-environment factors. PHI consumption is positively associated with financial development and cultural–social–economic factors, such as income, education, individualism, uncertainty avoidance, and long-term orientation, whereas it is negatively associated with public health spending, masculinity, indulgence, and power distance. In addition, factors related to the health environment, such as the COVID-19 pandemic, have a negative influence on PHI consumption in the selected OECD economies owing to losses in income. Our findings can serve as guidance for consumers and recommendations for health insurers and policymakers in designing health insurance policies and programs in developed and developing countries. © 2022 Elsevier Inc.