What Are the Challenges in Implementing AI-Driven Personalized Learning in Nursing?
Despite its numerous benefits, implementing AI-driven personalized learning in nursing comes with challenges:
1. Data Privacy: Ensuring the privacy and security of student data is paramount, and institutions must adhere to strict regulations. 2. Cost: The initial investment in AI technologies can be high, making it a barrier for some educational institutions. 3. Resistance to Change: Both educators and students may be resistant to adopting new technologies, requiring substantial training and support to facilitate a smooth transition. 4. Technical Issues: Technical problems such as software bugs and system downtimes can disrupt the learning process.