AI in Education: Adaptive Learning & Personalized Pathways
Completed by Mehwish Nida
April 27, 2026
3 hours (approximately)
Mehwish Nida's account is verified. Coursera certifies their successful completion of AI in Education: Adaptive Learning & Personalized Pathways
What you will learn
Data-driven personalization uses behavior and performance metrics to scale tailored learning for diverse populations
AI content requires systematic bias detection and inclusivity validation to ensure equitable, high-quality learning for all.
L&D transformation pairs real-time analytics with content workflows to identify performance gaps and trigger proactive interventions
Adaptive learning succeeds when AI augments human expertise, requiring designers to master prompt engineering and curation.
Skills you will gain
- Category: Analytics
- Category: Prompt Engineering
- Category: AI Personalization
- Category: Data-Driven Decision-Making
- Category: Quality Assurance
- Category: Artificial Intelligence
- Category: Data Analysis
- Category: Responsible AI
- Category: Generative AI
- Category: Learning Management Systems
- Category: Education Software and Technology
