Mentor Based
AI in Personalized Learning and Adaptive Education
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Course Overview
Program Syllabus
Module 1
About This Course
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.
Module 2
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.
Module 3
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.
Module 4
Program Structure
- 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
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI in Personalized Learning and Adaptive Education
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 5
Who Should Enrol?
Educators, instructional designers, educational technologists, academic researchers, and education administrators.
Module 6
Program Outcomes
- Implement and manage adaptive learning platforms.
- Develop and personalize learning paths with AI.
- Analyze and apply successful case studies of AI in education.
- Prepare for and pass AI in education certification exams.
- Improve educational outcomes using AI-driven strategies.
Module 8
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Module 9
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 10
Publication Opportunity
Get published in a prestigious open-access journal.
Module 11
Centre of Excellence
Become part of an elite research community.
Module 12
Networking & Learning
Connect with global researchers and mentors.
Module 13
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 14
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