Enhancing Student Engagement with AI
Revolutionizing Student Engagement with AI-Powered Learning
About This Course
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
Who Should Enrol?
- 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
Discounted: ₹21499 | $291
We accept 20+ global currencies. View list →
Frequently asked questions
Will I get the recording?
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
What if I miss a live session?
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Do I get a certificate?
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Which fee category applies to me?
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
