- Overview
- Prerequisites
- Audience
- Curriculum
Description:
In today's rapidly evolving digital landscape, Generative AI technologies are transforming the way we create and engage with content. This half-day training, "Introduction to Generative AI for Educators," is designed to provide educators with a foundational understanding of Generative AI, its key concepts, and its practical applications in educational settings.
Duration: Half Day
Course Code: BDT377
Learning Objectives:
By the end of this course, participants will be able to:
- Understand the Fundamentals of Gen AI
- Explore Generative AI Tools
- Implement AI in Educational Settings
- Recognize Ethical Considerations
- Anticipate Future Trends
- Basic Understanding of technology
- Interest in AI and Technology Integration
This course is designed for higher education faculty, educational administrators, instructional designers, technology coordinators, K-12 educators, and any educators interested in integrating Generative AI tools into their teaching practices to enhance learning outcomes.
Course Outline:
Session 1: Understanding Generative AI
● Introduction to AI and Generative AI
○ Definitions and key concepts
○ Brief history and evolution of AI technologies
● Key Technologies
○ Overview of neural networks and transformers
● Applications Beyond Education
○ Examples of Generative AI in art, music, and content creation
Session 2: Exploring Generative AI Tools
● Popular Generative AI Tools
○ Overview of tools like ChatGPT and DALL-E
● Hands-on Demonstration
○ Navigating selected tools and basic functionalities
● Use Cases in Education
○ Ideas for content creation, personalized learning, and assessment support
Session 3: Practical Applications in the Classroom
● Integrating AI into Lesson Plans
○ Strategies for designing AI-enhanced lessons
● Engagement and Creativity
○ Using Generative AI for creative writing and collaborative projects
● Real-World Examples
○ Case studies of successful AI integration in educational settings
Session 4: Ethical Considerations and Future Trends
● Ethics in AI
○ Addressing bias, privacy, and responsible use of AI
● Future Trends
○ Exploring the potential of generative AI in education