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Mentor Based

Enhancing Student Engagement with AI

Revolutionizing Student Engagement with AI-Powered Learning

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Early access to the e-LMS platform is included

  • Mode: Online/ e-LMS
  • Type: Mentor Based
  • Level: Advanced
  • Duration: 8 Weeks

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

  1. Interactive Learning Tools
    • AI-driven educational games and simulations
    • Benefits and challenges of interactive learning tools
    • Hands-on session with AI educational tools
  2. Virtual Tutors
    • AI-based virtual tutoring systems
    • Implementing and optimizing virtual tutors
    • Practical applications and examples
  3. Engagement Analytics
    • Tools to measure and improve student engagement
    • Key AI technologies in engagement analytics
    • Hands-on session with engagement analytics tools
  4. Case Studies
    • Examples of increased student engagement with AI
    • Analysis of successful implementations
    • Lessons learned and best practices
  5. 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 →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • One-on-one project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

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