Potential Challenges and Barriers to
Implementation
Infrastructure and Resources
- Integrating AI and ML into the undergraduate curriculum will require significant investments in infrastructure, such as high-performance computing resources, specialized software, and skilled faculty. Securing the necessary funding and resources may pose a challenge for many Nigerian state universities, particularly those with limited budgets
Faculty Training and Development
- Ensuring that faculty members are well equipped to teach AI and ML-related
- Courses is crucial for the successful implementation of these technologies in the curriculum. Providing comprehensive training and professional development opportunities for faculty members will be essential to overcome this barrier.
Curriculum Redesign
- Incorporating AI and ML into the existing undergraduate curriculum will require a comprehensive redesign process, involving the alignment of learning objectives, course content, and assessment methods. This transition may face resistance from traditional academic structures and require a significant investment of time and resources
Student Readiness
- Some students may initially lack the necessary foundational knowledge or digital literacy skills to seamlessly integrate with AI and ML-based coursework. Providing bridging programs and additional support
- Systems can help address this challenge and ensure that all students are adequately prepared to engage with these transformative technologies