September 10, 2025KnowledgeOpen Access

Artificial Intelligence in Curriculum Design: A Data-Driven Approach to Higher Education Innovation

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This analysis reveals improved student outcomes through AI-driven curriculum personalization, highlighting key metrics and ethical considerations.

AI-driven curriculum design achieved a course completion rate of 89.72%, and a retention rate of 91.44%.
Sentiment analysis of learner feedback indicated a significantly more positive learning experience with AI integration.
The study utilized predictive analytics and machine learning to assess student performance and personalize learning pathways.
Ethical concerns and data privacy issues are critical before wider implementation of AI in education can be realized.

Chu et al. (2025) studied this question.

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This analysis reveals improved student outcomes through AI-driven curriculum personalization, highlighting key metrics and ethical considerations.