Dataset Information

Pandemic response policies' democratizing effects on online learning.

ABSTRACT: The COVID-19 pandemic has changed peoples' lives in unexpected ways, especially how they allocate their time between work and other activities. Demand for online learning has surged during a period of mass layoffs and transition to remote work and schooling. Can this uptake in online learning help close longstanding skills gaps in the US workforce in a sustainable and equitable manner? We answer this question by analyzing individual engagement data of DataCamp users between October 2019 and September 2020 (n = 277,425). Exploiting the staggered adoption of actions to mitigate the spread of COVID-19 across states, we identify the causal effect at the neighborhood level. The adoption of nonessential business closures led to a 38% increase in new users and a 6% increase in engagement among existing users. We find that these increases are proportional across higher- and lower-income neighborhoods and neighborhoods with a high or low share of Black residents. This demonstrates the potential for online platforms to democratize access to knowledge and skills that are in high demand, which supports job security and facilitates social mobility.

SUBMITTER: Kizilcec RF

PROVIDER: S-EPMC7980394 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Pandemic response policies' democratizing effects on online learning.

Kizilcec Rene F RF Makridis Christos A CA Sadowski Katharine C KC

Proceedings of the National Academy of Sciences of the United States of America 20210301 11

The COVID-19 pandemic has changed peoples' lives in unexpected ways, especially how they allocate their time between work and other activities. Demand for online learning has surged during a period of mass layoffs and transition to remote work and schooling. Can this uptake in online learning help close longstanding skills gaps in the US workforce in a sustainable and equitable manner? We answer this question by analyzing individual engagement data of DataCamp users between October 2019 and Sept ...[more]

PMID: 33707215

Similar Datasets

Project description:IntroductionSeveral treatment options are available for COVID-19 to date. However, the use of a combination of non-pharmaceutical interventions (NPIs) is necessary for jurisdictions to contain its spread. Although the implementation cost of NPIs may be low from the healthcare system perspective, it can be costly when considering the indirect costs from the societal perspective. COVID-19 vaccination campaigns have begun in several countries worldwide. Nonetheless, the quantity of vaccines available remain limited over the next 1 to 2 years. A tool for informing vaccine prioritisation that considers both cost and effectiveness will be highly useful. This study aims to identify the most cost-effective combination of COVID-19 response policies, using Singapore as an example.Methods and analysisAn age-stratified Susceptible-Exposed-Infectious-Recovered model will be used to generate the number of infections stratified by disease severity under different intervention scenarios. Polices of interest include test-trace-isolate, travel restriction, compulsory face mask and hygiene practices, social distancing, dexamethasone/remdesivir therapy and vaccination. The latest phase 3 trial results and the WHO Target Product Profiles for COVID-19 vaccines will be used to model vaccine characteristics. A cost (expected resource utilisation and productivity losses) and quality-adjusted life years (QALYs) will be attached to these outputs for a cost-utility analysis. The primary outcome measure will be the incremental cost-effectiveness ratio generated from the incremental cost of policy alternatives expressed as a ratio of the incremental benefits (QALYs gained). Efficacy of policy options will be gathered from literature review and from its observed impacts in Singapore. Cost data will be gathered from healthcare institutions, Ministry of Health and published data. Sensitivity analysis such as threshold analysis and scenario analysis will be conducted.Ethics and disseminationEthics approval was not required for this study. The study findings will be disseminated through peer-reviewed journals.

Project description:Coronavirus outbreak mediated pandemic impacted most of the sectors globally. This includes the academic world that consists of millions of enrolled learners and active teachers who previously had regular classes in their institutions, and due to the pandemic, got stuck at the home. To continue the education process, the online class was introduced in most of the countries, including India. In this mode, both teaching and learning happen through electronic devices which are relatively new to the entire teaching-learning community. This study aimed to understand how online classes had fared for the teachers and students in India. Besides, it tried to understand the users' experience and the unique set of challenges that this mode of education brings. Four separate questionnaires were created for school students, school teachers, college students, and college professors. The questions inquired about various aspects of online classes such as setting up online education at home, knowledge transfer, comfort, evaluation, and future aspects. The questionnaires were circulated electronically as google forms. The responses were received from the teachers (school teachers and college professors considering all courses) and learners (school and college students considering all courses) of various educational institutions across the country. The data was compiled and the results were discussed in two ways, firstly, the perspectives of teaching versus the learning group and secondly, school versus college groups on online versus regular classes. Though online training/distance education is practiced for a long time, the research on the mentioned aspects was limited. This study is the first of its kind which reflects the merits and demerits of the new-normal online education from home in the compiled voice of teachers and learners group in India. The study addresses the participant's compliments and grievances of online education compared to regular classes. This further enlightens how to improve the technologies to make them use more efficiently. Besides, this study gives a proper framework to modify or create educational policies, laws, and schemes to obtain equal access to resources for all.

Dataset Information

Pandemic response policies' democratizing effects on online learning.

Publications

Pandemic response policies' democratizing effects on online learning.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets