AI helps universities improve student engagement by analyzing data, predicting student behavior, personalizing communications, and automating tasks like reminders and feedback collection, leading to better retention and success rates.

Common AI tools for student engagement include AI-driven CRM platforms, predictive analytics tools, chatbots for real-time student support, and AI-powered content recommendation systems.

Success can be measured through improved student retention rates, higher interaction levels with personalized content, increased student satisfaction, and by tracking the effectiveness of automated communication campaigns.

Challenges include data privacy concerns, the integration of AI tools with existing systems, the need for faculty and staff training, and ensuring AI systems are aligned with institutional goals and student needs.

Yes, AI can play a key role in both recruitment and retention. By analyzing prospective student data, AI can help personalize recruitment efforts, while predictive analytics can assist in identifying at-risk students for early intervention to improve retention.