Enhancing Student Engagement with AI
Revolutionizing Student Engagement with AI-Powered Learning
Skills you will gain:
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.
What you will learn?
- 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
Intended For :
- Educators, instructional designers, educational technologists, academic researchers, and education administrators.
Career Supporting Skills
Interactive Learning Virtual Tutoring Engagement Analytics AI Tools Certification Prep