Harnessing Generative AI for Personalized Learning

Description

Short Course: Harnessing Generative AI for Personalized Learning

Course Overview

This course provides educators with the knowledge and tools to incorporate generative AI into personalized learning. Participants will explore AI tools that adapt content and assessments to individual learners’ needs and preferences, enabling more engaging and effective learning experiences.

It equips educators to use generative AI for creating unique, personalized learning experiences that cater to individual student needs.

Course Duration:

3 Days (12 hours total)

Target Audience:

Educators, curriculum designers, and academic professionals interested in personalized learning through AI.

Day 1: Introduction to Personalized Learning and Generative AI

Session 1: What is Personalized Learning? (2 hours)

• Topics:
  • Definition and importance of personalized learning.
  • The role of technology in creating personalized learning experiences.
  • Overview of personalized learning models (e.g., mastery-based learning, competency-based learning).
• Practical Exercise:
  • Reviewing case studies of personalized learning platforms in action.

Session 2: Introduction to Generative AI and Its Role in Education (2 hours)

• Topics:
  • What is generative AI and how it can be applied in education.
  • Examples of generative AI in creating content, assessments, and learning pathways.
  • How generative AI can enhance personalized learning experiences.
• Practical Exercise:
  • Using generative AI tools like ChatGPT to generate personalized educational content.

Day 2: Implementing Generative AI for Personalized Learning

Session 3: Adaptive Learning Systems Powered by AI (2 hours)

• Topics:
  • How AI personalizes learning based on student data and behavior.
  • AI tools for adaptive learning pathways that evolve with student progress.
  • Understanding AI’s role in identifying learning gaps and strengths.
• Practical Exercise:
  • Building personalized learning pathways using generative AI platforms.

Session 4: Personalizing Content and Assessments with AI (2 hours)

• Topics:
  • Using AI to generate tailored lesson plans and resources.
  • AI-driven personalized assessments to measure student performance and progression.
  • Aligning AI-generated content with individual learner profiles and learning outcomes.
• Practical Exercise:
  • Creating AI-generated quizzes and personalized lessons for diverse learners.

Day 3: Enhancing Engagement and Addressing Challenges with AI

Session 5: Generative AI for Enhancing Student Engagement (2 hours)

• Topics:
  • How AI can create engaging, student-centered learning experiences.
  • Utilizing AI chatbots and virtual tutors to offer personalized support.
  • Real-time, AI-powered feedback mechanisms to improve student interaction.
• Practical Exercise:
  • Designing interactive AI-driven virtual tutors for personalized student engagement.

Session 6: Ethical Considerations and Future Trends in AI and Personalized Learning (2 hours)

• Topics:
  • Ethical use of AI in personalized learning (privacy, fairness, and bias).
  • Addressing challenges of integrating AI into classrooms and overcoming resistance.
  • Future trends in AI-driven personalized learning (adaptive multimedia content, AI coaches, etc.).
• Group Discussion:
  • Best practices and potential pitfalls of using AI for personalized learning.

Assessment and Certification:

• Final project: Design a personalized learning module using generative AI tools, tailored to individual learning preferences or a specific classroom context.
• Participants will receive a certificate upon successfully completing the course and final project.