Discover how generative AI can help you create engaging, personalized learning content and improve your productivity so you can enhance student outcomes.
During this course, you’ll explore gen AI methodologies and best practices for implementing AI in education. You’ll look at how it can be used to create content, enhance personalized learning, special education, and adaptive learning. You’ll get hands-on with popular gen AI tools, including IBM watsonx, ChatGPT, Claude, and Khanmigo in education. Plus, you’ll investigate the ethical implementation of gen AI, considering privacy protection, bias mitigation, and the creation of inclusive learning environments.
Throughout, you’ll hear from industry experts, who share insights on the future of gen AI in education. You’ll build your gen AI expertise in hands-on labs and interactive activities. Plus, you’ll complete a final project where you’ll apply all that you’ve learned to a practical, real-world scenario.
Whether you’re an educator looking to revolutionize your classroom practices or simply want to streamline administrative tasks, this course will give you the gen AI skills you need to excel. Enroll today!
Overview
Syllabus
- Gen AI Tools and Personalized Learning
- In this foundational module, you'll explore the landscape of educational AI tools and learn to evaluate their effectiveness for different teaching contexts. You'll gain hands-on experience with leading platforms while developing strategies for creating personalized learning experiences.
- AI Integration and Performance Assessment
- This module focuses on integrating AI tools into your teaching practice and leveraging them for student assessment. You'll learn to create AI-enhanced lesson plans and develop data-driven assessment strategies.
- Ethics and Applied Project
- The final module addresses ethical considerations in educational AI use and culminates in a practical implementation project. In this module, you'll learn to navigate privacy concerns, mitigate bias, and create inclusive learning environments.
Taught by
IBM Skills Network Team and Filipe Martins
