Performance Analysis of the Impact of COVID-19 on Student Studies Using a K-NN Algorithm
Keywords:
Decision Tree, KNN, Gaussian Naïve Bayes, Case-based learning, ANNAbstract
The education sector, being one of the largest sectors in the world is also affected by COVID-19 pandemic which result in an expected rise in dropouts, address such as a crisis and sustainability. To reduce this impact on the education system several questions arise that How to organize the education system and how the problem that has arisen can be eliminated? These questions were sent to the higher officials in the education system. Different types of suggestions are proposed, and they give justification to employ online learning to provide an individual with a relevant stress-free solution and to cope with the current situation.
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