AI in Personalized Learning and Adaptive Education
Revolutionizing Education with AI-Driven Personalization
Skills you will gain:
This self-paced program explores the application of AI in personalized learning and adaptive education. Participants will learn about adaptive learning platforms, creating personalized learning paths, analyzing successful case studies, and preparing for AI in education certifications.
Aim: To equip PhD scholars and academicians with advanced skills in utilizing AI for personalizing learning experiences and creating adaptive educational systems. This course aims to enhance the effectiveness of education through AI-driven tools and methodologies.
Program Objectives:
- Implement adaptive learning platforms in educational settings.
- Develop personalized learning paths using AI.
- Analyze successful case studies of personalized learning.
- Prepare for AI in education certification exams.
- Enhance educational outcomes through AI-driven strategies.
What you will learn?
- Adaptive Learning Platforms
- Overview of tools like DreamBox and Smart Sparrow
- Features and functionalities
- Hands-on session with adaptive learning platforms
- Creating Personalized Learning Paths
- Using AI for tailored educational experiences
- Benefits and challenges of personalized learning
- Practical applications and examples
- Case Studies
- Examples of successful personalized learning implementations
- Analysis of real-world examples
- Lessons learned and best practices
- Certification Preparation
- Important topics for AI in education certifications
- Study materials and resources
- Practice exams and review sessions
Intended For :
Educators, instructional designers, educational technologists, academic researchers, and education administrators.
Career Supporting Skills
Adaptive Learning Personalized Education AI Tools Instructional Design Certification Prep