The framework provides a systematic and evidence-based approach to understanding the specific requirements, challenges, and opportunities related to AI integration in higher education settings. It’s structured around three key dimensions:
- Literature Review – through analysis of existing research, studies, and best practices in AI integration within higher education.
- Pioneer Interviews – interviews with educators, administrators, and AI experts who have demonstrated innovative AI integration practices in higher education.
- Needs Assessment – Focus on understanding the specific requirements of educators, institutions, and students when it comes to AI Integration.
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