• Exploring how AI-generated content and tools can be used to enhance instructional design, adapt to students' learning styles, and automate feedback.

• Addressing concerns around plagiarism, authorship, and originality in an era where AI can produce high-quality, human-like responses.

• Investigating how AI-driven methods can boost student interaction and participation, and improve personalization in learning pathways.

• Exploring how AI can transform formative and summative assessments, streamline grading processes, and provide timely, meaningful feedback.

• Evaluating the ethical dimensions of deploying AI tools in education, including concerns about data protection, algorithmic bias, and equitable access.

• Examining curriculum design to ensure students acquire the necessary AI literacy and transferable skills for future employment.

• Discussing how AI may reshape teaching roles, redefine pedagogical approaches, and support faculty development in the digital age.