Full Course Programme · 20 Hours · 5 Modules × 4 Hours
Author: Maria Dovnar
Approach: Interactive learning, hands-on practice, real-world educational cases, and project-based learning.
Course description
This practical course helps teachers integrate artificial intelligence into everyday teaching. Participants will explore AI tools, learn to write effective prompts, create educational resources, adapt learning materials to different student needs, design interactive activities, and use AI responsibly and safely in education.
Each module combines short demonstrations, guided practice, collaborative activities, and a practical outcome that teachers can apply directly in their classrooms.
Module 1. AI Foundations and Prompt Engineering
Duration: 4 hours
Topics
- Introduction to Artificial Intelligence: key concepts, capabilities, and limitations.
- Generative AI in education: text, images, presentations, and other learning resources.
- Overview of AI tools for teachers.
- Prompt engineering: how to write clear and effective instructions.
- Structuring prompts with roles, context, goals, constraints, and output formats.
- Refining AI responses through iterative prompting.
- Fact-checking AI-generated content and identifying hallucinations.
- Practical cases: using AI to simplify lesson preparation and everyday administrative tasks.
Practical activities
- Compare responses generated by different prompts.
- Create a reusable prompt template for teaching.
- Solve a real classroom planning task using AI.
Learning outcome: Participants will create a personal prompt library containing at least five reusable prompts for teaching.
Module 2. Creating Educational Materials with AI
Duration: 4 hours
Topics
- Generating worksheets, quizzes, tests, and question banks.
- Creating crosswords, word searches, riddles, and educational puzzles.
- Designing educational games and interactive classroom activities.
- Generating fairy tales, short stories, dialogues, and reading comprehension tasks.
- Creating coloring pages, illustrations, and visual learning materials.
- Developing presentations, lesson handouts, and classroom posters.
- Adapting content to different ages, proficiency levels, and learning needs.
- Creating differentiated tasks for mixed-ability classrooms.
- Reviewing AI-generated resources for accuracy, clarity, and curriculum alignment.
Practical activities
- Turn one curriculum topic into a worksheet, a quiz, and an educational game.
- Adapt the same material for three different student proficiency levels.
- Experiment with AI-generated visuals and presentation content.
Learning outcome: Participants will create a set of three ready-to-use AI-powered educational resources for a selected topic.
Module 3. AI-Powered Lesson Planning and Assessment
Duration: 4 hours
Topics
- Generating lesson plans and structured lesson scenarios.
- Aligning learning objectives, activities, and assessment methods.
- Designing engaging lesson openings, explanations, and lesson conclusions.
- Creating project-based learning activities and interdisciplinary tasks.
- Developing formative and summative assessments.
- Generating rubrics, answer keys, and assessment criteria.
- Using AI to analyse student work and identify learning gaps.
- Creating differentiated feedback and suggestions for improvement.
- Automating routine teacher tasks while maintaining professional judgement.
Practical activities
- Develop a complete lesson plan using AI.
- Create a test with an answer key and an assessment rubric.
- Transform a traditional lesson into a more interactive learning experience.
- Generate constructive feedback for sample student responses.
Learning outcome: Participants will produce a complete lesson package containing learning objectives, a lesson plan, activities, and assessment materials.
Module 4. Interactive Learning, Creativity, and AI-Powered Projects
Duration: 4 hours
Topics
- Using AI to support creativity, critical thinking, and problem-solving.
- Designing interactive quizzes, challenges, and classroom games.
- Creating branching stories, educational scenarios, and simulations.
- Combining AI-generated text, images, and presentations in learning projects.
- Developing interdisciplinary STEAM activities.
- Introducing students to AI literacy and responsible AI use.
- Designing collaborative projects in which students use AI as a learning assistant.
- Encouraging originality, reflection, and independent thinking.
- Evaluating AI-supported student projects and learning outcomes.
Practical activities
- Design an AI-powered classroom game or interactive challenge.
- Create a short branching story or educational simulation.
- Develop a mini-project combining text, visuals, and student interaction.
- Prepare an activity that teaches students to evaluate AI-generated information.
Learning outcome: Participants will design a complete interactive learning activity or mini-project that incorporates AI.
Module 5. Responsible AI, Digital Safety, and the Teacher’s AI Toolkit
Duration: 4 hours
Topics
- Responsible and ethical AI use in education.
- Student privacy, personal data protection, and confidential information.
- Copyright, attribution, and the use of AI-generated content.
- Bias, misinformation, and limitations of AI systems.
- Academic integrity and appropriate student use of AI.
- Establishing classroom guidelines for AI use.
- Evaluating AI tools for educational value, accessibility, and safety.
- Building reusable workflows for lesson preparation and assessment.
- Integrating AI into daily teaching without losing the human element.
- Presenting, testing, and improving a final practical project.
Practical activities
- Analyse real-world classroom scenarios involving AI ethics and safety.
- Develop a short classroom AI-use policy.
- Build a personal AI toolkit with prompts, resources, and workflows.
- Present a final project and receive peer feedback.
Learning outcome: Participants will develop a practical AI toolkit, a responsible-use checklist, and an implementation plan for integrating AI into their teaching practice.
Course structure at a glance
| Module | Focus | Duration |
|---|---|---|
| 1 | AI Foundations and Prompt Engineering | 4 hours |
| 2 | Creating Educational Materials with AI | 4 hours |
| 3 | AI-Powered Lesson Planning and Assessment | 4 hours |
| 4 | Interactive Learning, Creativity, and AI-Powered Projects | 4 hours |
| 5 | Responsible AI, Digital Safety, and the Teacher’s AI Toolkit | 4 hours |
| Total | Practical professional development | 20 hours |
Teaching methodology
The course follows a practice-first approach:
- Demonstration: Explore AI tools and observe how they can be applied in education.
- Guided practice: Complete hands-on exercises using real teaching scenarios.
- Creative challenges: Experiment with different AI tools and prompt strategies.
- Peer collaboration: Share ideas, review outputs, and exchange classroom practices.
- Project-based learning: Build resources and workflows that can be used immediately.
Final course outcome
By the end of the course, participants will have developed a practical portfolio of AI-supported teaching materials, including:
- A reusable prompt library.
- Three AI-generated educational resources.
- A complete lesson plan and assessment package.
- An interactive learning activity or mini-project.
- A personal AI toolkit and responsible-use checklist.
The course’s main goal: to help teachers move from experimenting with AI to using it confidently, critically, and creatively in everyday teaching.
Course author: Maria Dovnar · AI for Teachers · 20 hours