AI in Teaching – Practical Guide for the Modern Educator

AI in Teaching – Practical Guide for the Modern Educator

A clear and hands-on guide for teachers to use AI responsibly, support learning, and enrich teaching — without losing the human touch.

كتبه: Sami Kalliokoski

2025

52 pages

This book is written to help teachers take AI into their classrooms. The goal is to support teachers in using new technology ethically, pedagogically and humanely. AI literacy is the new literacy of the future. This book is an introduction to AI in education. It will later delve into different levels and topics, such as AI in special education, subject-based education and assessment.

جدول المحتويات

Foreword

Why is AI in education important right now?

Book's aim and target audience

1. Introduction to AI and education

  • What is AI?
  • A brief history of AI development
  • Why AI is transforming education

2. Opportunities AI offers in education

  • Personalized learning
  • Learning analytics and data use
  • Automatic material generation and curation
  • Support for special needs and differentiation

3. AI as a teacher's tool

  • Lesson planning with AI
  • Automated feedback and assessment
  • Generating ideas and assignments
  • AI as a mentor and assistant

4. AI supporting the student

  • AI-based learning assistants
  • Supporting writing and thinking
  • Self-regulated and autonomous learning with AI

5. AI and curricula

  • Integrating AI into different subjects
  • Teaching AI as part of digital skills
  • Ethical perspectives and critical thinking

6. Ethical and legal considerations

  • Data protection and student information
  • Risks of misuse and assessing reliability
  • Bias in AI and its impact on learning
  • Copyright and using generated content
  • Supporting autonomy and responsibility

7. Challenges and pitfalls

  • Lack of skills among teachers and students
  • AI dependency and decline of critical thinking

8. Accessibility and equity in technology

  • Ethical and legal uncertainties of technology
  • The role of human interaction and school community

9. Practical examples and case studies

  • Using AI to generate tasks and materials
  • Supporting differentiation with AI

10. Supporting writing and thinking with AI

  • Using learning analytics
  • Experiments combining robotics and AI
  • Teachers' experiences

11. Future visions

  • Smarter and more personalized learning paths
  • AI as part of a broader learning experience
  • Strengthening the teacher's role
  • New ethical and societal questions
  • Lifelong learning and teacher development

12. Summary and encouragement to use AI

  • Encouragement for teachers
  • Towards the school of the future

Frequently asked questions (FAQ)

5 key AI takeaways for teachers

Summary

About the author

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Available in languages:

Suomi English
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