Using AI-powered predictive analytics, educational institutions can identify factors that lead to higher drop-out rates among female students in tech courses. These insights allow for proactive measures to be taken, such as offering additional support and resources to at-risk students, thus improving retention rates and ensuring more women complete their tech education.
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