This article discusses using the neural network algorithm to identify students who are at risk of not graduating high school on time. This is an effective way of doing this because it is a learning algorithm, so as trends in students are changing the algorithm changes with it. This can be connected to the article on predicting students who will not graduate high school using supervised learning with random forest and linear regression. It shows that this is an important problem to solve and there are many ways to do it. This method was 83.94% effective in identifying students at risk.
https://dl.acm.org/doi/10.1145/3402597.3402613
This article discusses using the neural network algorithm to identify students who are at risk of not graduating high school on time. This is an effective way of doing this because it is a learning algorithm, so as trends in students are changing the algorithm changes with it. This can be connected to the article on predicting students who will not graduate high school using supervised learning with random forest and linear regression. It shows that this is an important problem to solve and there are many ways to do it. This method was 83.94% effective in identifying students at risk. https://dl.acm.org/doi/10.1145/3402597.3402613