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IBM

Generative AI: Skills & Tools for Educators

IBM via edX

Overview

Generative AI (GenAI) is the power tool that enables educators and trainers to create engaging, adaptive, and personalized learning experiences quickly and effectively. This Generative AI: Skills & Tools for Educators course, developed with IBM expertise, gives teachers, instructional designers, and other edtech professionals the hands-on skills to use popular GenAI tools to transform how they work and enhance student engagement.

During this course, you’ll learn how to use GenAI to automate routine tasks, enhance lesson planning, and support special and adaptive learning needs. In interactive labs, you’ll gain practical experience using leading AI tools such as IBM watsonx, ChatGPT, Claude, and Khanmigo to develop lesson content, quizzes, and tailored support for diverse learners. Plus, through a final project, you’ll get hands-on experience using GenAI tools, applying your new skills to real-world teaching scenarios.

The course also prompts you to consider the ethical use of AI in education, including data privacy, bias mitigation, and how to create inclusive learning environments. Plus, you’ll gain insights from education and technology experts on emerging trends and best practices.

If you’re looking to future-proof your career in education with AI skills that can transform how you work, enroll today.

Syllabus

Syllabus

Module 1: Introduction to Generative AI in Education

  • Understand generative AI fundamentals and its role in education
  • Explore real-world examples of AI-driven teaching and learning

Module 2: Generative AI Tools and Lesson Planning

  • Hands-on practice with IBM watsonx, ChatGPT, Claude, and Khanmigo
  • Create AI-powered lesson plans, quizzes, and assessments
  • Use AI to streamline administrative and grading tasks

Module 3: Personalization, Adaptive Learning, and Special Education

  • Design adaptive learning paths tailored to student abilities
  • Personalize content to support diverse and inclusive classrooms
  • Apply AI strategies to enhance special education support

Module 4: Ethics, Privacy, and Inclusive AI Use

  • Safeguard data privacy and academic integrity
  • Recognize and mitigate bias in AI-generated content
  • Ensure equitable access and inclusivity in AI applications

Final Project: Real-World Application

  • Apply all skills in a capstone project to design an AI-integrated educational scenario

Taught by

- IBM - and Filipe Martin

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