Generative AI in Education: Enhancing Personalized Learning

• An understanding of basic AI and machine learning concepts
• Experience with Python programming
• Familiarity with educational technology

Audience

• Educators
• Edtech professionals
• School administrators

Generative AI is an innovative branch of artificial intelligence focused on creating algorithms that can generate new, previously unseen data points, content, or solutions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level educators and edtech professionals who wish to leverage Generative AI to personalize education and enhance learning experiences.

By the end of this training, participants will be able to:

• Understand the principles and applications of Generative AI in the context of education.
• Create personalized learning materials and pathways using AI.
• Utilize AI tools for classroom management and content creation.
• Address ethical considerations in the use of AI for education.
• Develop strategies for integrating AI into educational curricula and administrative processes.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Generative AI in Education

• Understanding Generative AI
• The role of AI in modern education
• Case studies of AI-driven educational platforms

Personalizing Learning with AI

• AI algorithms for adaptive learning
• Creating dynamic learning pathways
• Data-driven insights into student performance

AI-Generated Educational Content

• Tools for automating content creation
• Ensuring content quality and relevance
• Workshop: Designing AI-generated lesson plans

AI in Classroom Management and Administration

• Streamlining administrative tasks with AI
• AI for grading and assessments
• Enhancing teacher-student interactions

Ethical Considerations in AI for Education

• Privacy and data protection for students
• Bias and fairness in AI algorithms
• Promoting responsible AI use in schools

The Future of AI in Education

• Emerging trends in educational technology
• Preparing for the AI-augmented classroom
• Long-term implications for educators and learners

Capstone Project

• Developing an AI-driven educational tool
• Implementing AI solutions in a real-world educational setting
• Assessment and feedback

Summary and Next Steps