Key Elements for Designing AI Course for Adults
In this section, you will find essential guidelines for designing an effective and engaging Artificial Intelligence course for adult learners. Given the complexity and rapid evolution of AI, it is important to create a learning experience that is accessible, practical, and directly relevant to the real-world needs of adult learners. We will explore the key principles that should guide the course structure, ensuring that adult learners stay motivated, understand fundamental concepts easily, and apply their knowledge in meaningful ways.
Content creation – Theoretical part
Effective Teaching Strategies for Teaching AI to Adults
Teaching AI to adults requires a practical, engaging approach that builds on their experiences.
The most effective courses use varied strategies to actively involve learners and support diverse needs, such as Problem-based learning (PBL), Experiential Learning, Case-based learning, Inquiry- based learning, and Peer learning.
Below you can find some practical examples to follow:
Example: The trainer connects a smartphone to a projector and sets a voice reminder using Google Assistant, narrating each step out loud.
Then, participants follow the same steps on their own phones with the trainer walking around for support.
Why it works: Step-by-step guidance reduces anxiety and builds trust in the process.
Example: Give participants a small challenge: “You forgot your shopping list at home. Use an AI assistant to create a new one with your voice.”
Or: “You want to write a polite reply to a customer email. Use an AI writing assistant to help you draft it.”
Why it works: It ties the tool directly to realistic, relatable situations.
Example: Show participants everyday tools (e.g., Netflix suggestions, Google Maps, online ads) and ask: “Where is AI hiding here?”
Let them discuss in small groups and guess what part is AI-powered.
Why it works: It boosts awareness and makes AI feel familiar and less mysterious.
Example: Pair up learners: one plays the “user,” the other the “tech helper.”
They follow a card with a task, like “Translate a phrase using Google Translate.” Then switch roles.
Why it works: Encourages peer learning, reduces fear of making mistakes, and reinforces learning through teaching.
Example: After exploring a tool like ChatGPT or a voice assistant, ask:
“How could this help in your daily routine or at work?”
Write their ideas on a flipchart or digital board. Add pictures/icons for visual support.
Why it works: Connects the tool to their own lives, building motivation and ownership.
Example: Give them simple tasks to try between sessions, like:
– Use an AI assistant to check the weather
– Try translating a menu item with your phone
– Ask ChatGPT to help plan a birthday message
Participants then share their experience at the beginning of the next class.
Why it works: Reinforces learning, adds relevance, and creates a sense of progress.
Example: At the end of the course, each participant creates a simple personal list of 3–5 AI tools they tried and liked, writing down:
– What it does
– How they used it
– When they’ll use it again
Why it works: Encourages reflection, reinforces autonomy, and gives a clear takeaway.
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Structured Methodology for Designing an AI Training Course
Creating an effective AI course for adults requires a clear, structured approach that promotes engagement and practical application.
Key steps for educators include:
Define clear and achievable learning outcomes based on the prior knowledge of your learners.
- Create a questionnaire from scratch or use some existing online tools (i.e. mydigiskills.eu).
- Here you can find a basic AI course designed for adults aged 50 and over.
Choose content based on learners’ needs in specific areas such as Daily Life, Personal Development, Health and Wellness, Leisure Time, and Productivity.
- Here an example for effective training programme for a course on AI for adults aged 50 and over.
Check out our use cases if suit your audience.
Include a mix of methods (e.g., hands-on activities, visual demonstrations, and reading materials) to cater to different learning styles.
- Refer to the teaching strategies suggested above for guidance.
Break down complex concepts.
- Simplify AI concepts using clear and understandable language.
- Use metaphors or analogies to make abstract concepts more relatable.
- Connect AI concepts to learners’ existing experiences to make the material more relevant.
- Use both formative and summative assessments to monitor progress.
- Clearly define the expected final product for each lesson from the start.
- Allocate time for review and feedback at the end of each lesson.
- Here an example of assessment strategies to be applied.
- Collect learner feedback regularly and adjust the course structure for continuous improvement.
- Once your lesson plan is organized, remain flexible and be ready to adapt it based on learner needs and responses.
Create your own Lesson Plan
Blank AI Lesson Plan Template for Educators
Use our editable lesson plan template to design your own AI-focused lessons for adult learners. The structure follows the Future Forward model—highlighting learning outcomes, teaching strategies, practical activities, and ethical considerations. Whether you’re building a single lesson or a full course, this template will help you plan with clarity and confidence.
