Online/ e-LMS
Mentor Based
Advanced
8 Weeks
About
This self-paced course covers the application of AI in enhancing student engagement. Participants will explore AI-driven educational games, virtual tutoring systems, and engagement analytics tools. The course also includes case studies of successful implementations and prepares participants for AI certifications in education.
Aim
To provide PhD scholars and academicians with advanced skills in using AI to enhance student engagement and learning outcomes. This course aims to integrate interactive AI-driven tools, virtual tutors, and engagement analytics to create a dynamic learning environment.
Program Objectives
- Implement AI-driven interactive learning tools.
- Utilize AI-based virtual tutors effectively.
- Measure and improve student engagement with AI analytics.
- Analyze successful case studies of AI in education.
- Prepare for AI certifications in education.
Program Structure
- Interactive Learning Tools
- AI-driven educational games and simulations
- Benefits and challenges of interactive learning tools
- Hands-on session with AI educational tools
- Virtual Tutors
- AI-based virtual tutoring systems
- Implementing and optimizing virtual tutors
- Practical applications and examples
- Engagement Analytics
- Tools to measure and improve student engagement
- Key AI technologies in engagement analytics
- Hands-on session with engagement analytics tools
- Case Studies
- Examples of increased student engagement with AI
- Analysis of successful implementations
- Lessons learned and best practices
- Certification Preparation
- Important topics for AI certifications in education
- Study materials and resources
- Practice exams and review sessions
Participant’s Eligibility
- Educators, instructional designers, educational technologists, academic researchers, and education administrators.
Program Outcomes
- Develop and implement AI-driven interactive learning tools.
- Utilize AI-based virtual tutors to enhance learning.
- Measure and improve student engagement using AI analytics.
- Analyze successful case studies of AI in education.
- Prepare for and pass AI certification exams in education.
Fee Structure
Fee: INR 21,499 USD 291
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Key Takeaways
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- Educational Technologist
- Instructional Designer
- Learning and Development Specialist
- AI in Education Consultant
- Academic Researcher in AI Education
- Student Engagement Analyst
Job Opportunities
- Educational institutions
- EdTech companies
- Corporate training departments
- Government education agencies
- Non-profit organizations
- Research institutions
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
Related Courses
Python for Data Science
NanoIndustria: Advanced …
NanoIndustria: Advanced …
AI in Tax Planning and …
Recent Feedbacks In Other Workshops
great knowledge about topic.