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Found 4 papers, 2 papers with code
Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases
The ability to generate synthetic data has a variety of use cases across different domains.
A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education
While much effort and detail has gone into the expansion of explaining algorithmic decision making in this context, there is still a need to develop data collection strategies Therefore, the purpose of this paper is to outline a data collection framework specific to recommender systems within this context in order to reduce collection biases, understand student characteristics, and find an ideal way to infer optimal influences on the student journey.
Mapping the South African health landscape in response to COVID-19
When the COVID-19 disease pandemic infiltrated the world, there was an immediate need for accurate information.
Computers and Society
A Framework For Sharing Publicly Available Data To Inform The COVID-19 Outbreak in Africa: A South African Case Study
These announcements narrate the confirmed COVID-19 cases and include the age, gender, and travel history of people who have tested positive for the disease.
Computers and Society Applications
