Course Objectives – What You Will Achieve

This course is designed for educators who want to move beyond “trial-and-error” prompting and gain a deep, structured understanding of how to communicate effectively with AI — and how to teach those skills to others.

By the end of the course, you will:

1. Master Prompting Fundamentals and Beyond

• Understand the core components of an effective prompt: tone, context, clarity, format, and examples.
• Learn how different genres (narrative, expository, instructional, persuasive) require language-specific adaptations for optimal AI performance.
• Identify and prevent common pitfalls such as hallucinations, vague instructions, and inconsistent outputs.

2. Apply Linguistic Insights to Prompt Design

• Use linguistic structures to reduce ambiguity and improve AI comprehension.
• Apply genre-specific linguistic patterns that guide AI into producing exactly the kind of output you need.
• Employ cognitive scaffolding techniques to help students build a mental model of how AI processes language.

3. Teach Prompting Effectively to Students

• Implement classroom-tested activities that allow students to practise and improve their prompting skills.
• Guide students in recognising AI errors, refining prompts, and applying style changes.
• Develop student independence in using AI responsibly, creatively, and critically.

4. Integrate Prompting into Your Teaching Practice

• Design lesson plans that include prompt literacy as a core skill.
• Adapt AI tasks for different subject areas, proficiency levels, and learning goals.
• Blend AI-powered tasks with traditional learning methods to maximise student engagement and learning outcomes.

5. Access Exclusive Teaching Resources

You will gain tools and materials not typically included in similar courses:

• Editable Excel-based rubric for prompt evaluation.
• Comprehensive glossary of AI and prompting terminology
• Downloadable, ready-to-use student worksheets and activities to support immediate classroom implementation.

This course doesn’t just teach you how to prompt — it teaches you how to teach prompting.
You’ll leave with both the theory to understand why prYou’ll leave with both the theory to understand why prompting works the way it does, and the practice to make it work for you and your students every time.

Target Group

This course is designed for primary and secondary school teachers, vocational instructors, curriculum developers, and school leaders who seek to navigate the changing educational landscape shaped by artificial intelligence.

Learning Materials Provided

Videos: 

Inspiring questions

AI or not

In general
Be clear
Complementary mechanism
Content-Constraints
Context

Data-Protection-

Examples-and-Pattern

Format

Humor

Irony

Supplemntary mechanism

Personality traits

Tone

Selecting the right AI tool

Error handling

LLM suggestion: help or danger? 

Additional materials: 

1. 1. Decision making interactive flow chart,

• A practical Excel tool with a built-in rubric to help educators measure, score, and monitor students’ developable prompting competencies.

• Tasks for students

• Glossary

Alignment with 21st-Century Skills / Frameworks

1.   Aligns with UNESCO’s AI and Education policy recommendations
2.   Supports the DigCompEdu framework (Digital Competence Framework for Educators)
3.   Develops critical thinking, creativity, ethical reasoning, digital literacy

Development Areas:

🔹 Digital Pedagogical Competence
Understanding and applying AI tools intentionally in teaching and learning contexts.

🔹 Reflective Practice and Evolving Teacher Role
Critically analyzing the changing nature of homework and the teacher’s role in shaping it.

🔹 Assignment Design Skills
Developing structured, pedagogically sound homework tasks that are either AI-resistant or purposefully AI-supported, adaptable to different age groups and subjects.

🔹 Critical Thinking and AI Awareness
Identifying signs of AI-generated student work and responding appropriately with professional judgment.

🔹 Project-Based Learning and Student AI Literacy
Designing and implementing a complex project that actively builds students’ AI competencies, including ethical use, prompt literacy, collaboration, evaluation, and digital responsibility.

Assessment & Certification

  Online quizzes (Level 2)

  Submission of a homework plan (Level 3)

  Personalized feedback by the course instructor (Level 3 only)

  Certificate of completion (Level 2, Level 3, format varies)

Language & Format

  Language: English

  Format: Fully online, asynchronous

  Access: Self-paced learning environment – participants can join and complete the course at any time