General description of the project:
My proposal aims to enhance Hispanic student retention in online learning through innovative technology-based approaches. It includes three key strategies: technology centered support systems using AI tools for real-time tracking and tailored communication, advanced analytics for predicting retention issues and providing timely support, and implementing lecture capture technology for flexible learning experiences. An example of success lies in AI systems alerting advisors when Hispanic students show signs of disengagement, allowing for targeted support to prevent dropouts.
The proposal emphasizes cost-effectiveness by proactively identifying issues and intervening early, ultimately reducing long-term costs associated with student dropout rates. It contributes to better decision-making by understanding Hispanic student behaviors and needs, leading to tailored interventions and improved institutional effectiveness.
Tailored technology and interventions address the unique challenges Hispanic students face in online learning, emphasizing personalized support, early identification of struggling students, and culturally sensitive approaches for an inclusive learning environment. The proposal highlights the importance of technology, tailored support, and data-driven decisions, stressing cultural considerations for successful implementation.