Dropout rates in high schools throughout Texas have been steadily increasing, especially following the Covid-19 pandemic. This project aims to solve this problem through an artificial intelligence algorithm that can predict the dropout rate of a Texas high school campus based on specific characteristics of the school.
Dropout rates in high schools throughout Texas have been steadily increasing, especially following the Covid-19 pandemic. Dropping out of high school has a permanent effect on the future of a person’s life, and as more students don’t make it to graduation, the more serious this issue becomes. The only way to combat this problem is by identifying what factors or characteristics of a campus are causing students to drop out. This project aims to solve this problem through an artificial intelligence algorithm that can predict the dropout rate of a Texas high school campus based on specific characteristics of the school. This project uses a gradient boosting model on a dataset by the TEA (Texas Education Agency) with information about high schools throughout the state. The results of this model are also implemented into an app where people can input information about a school and get a dropout rate prediction, as well as recommendation for that specific campus on how to decrease dropout rates.
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