Initial educational uses

How can you prompt generative AI to prepare a learning activity without delegating content validation to it?

1250 € per session, excl. VAT

In short

This half-day session of 3 hours enables trainers to discover the possibilities and limitations of generative AI. Using a fictitious case, participants experiment with simple prompts, prepare a short activity and assess its educational quality before using it with learners.

Why this training?

For a trainer, a fluent response is not necessarily content suitable for teaching: it may introduce an error, disregard learners’ level or suggest an exercise that cannot be assessed. Identifying these shortcomings helps trainers retain responsibility for educational decisions. AI can suggest examples, rephrase an instruction or propose questions. This introduction allows participants to test these uses within a limited scope, then distinguish what can be retained, corrected or discarded before delivering a session. Running case study: The fictitious organisation « Clarirose Apprentissages » is preparing a workshop for adult beginners on writing a clear professional email. Participants have a reference sheet and must prepare a fifteen-minute activity, accompanied by three questions to check learning. Transfer to the workplace: After the session, revisit a short activity from your own catalogue using an authorised tool and anonymised data. Compare the AI proposal with the existing version, then record one improvement retained and one suggestion rejected, with the educational rationale for each.

Objectives of this training

  • Explain in simple terms why a generated response can be plausible yet incorrect.
  • Identify three uses of AI that are useful for preparing training.
  • Write a prompt specifying the audience, objective and expected format.
  • Produce a short activity and three questions with guided assistance.
  • Assess the result against a reference sheet and educational criteria.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Occasional or permanent trainers wishing to discover generative AI.
  • Teaching resource designers and training managers who are new to these tools.

Prior skills

  • No prior AI knowledge required.
  • Ability to use a browser and some experience of sharing knowledge, even if only occasionally.

What you will work on

  1. Understand before prompting

    Objective: Distinguish between text generation and validation of knowledge. Simplified principle of generation, variable responses, plausible errors and the trainer’s responsibility; confidentiality of the information shared.

  2. Formulate an initial request

    Objective: Link the request to the learning need. Audience, objective, context, reference document and format; the difference between a vague request and a contextualised prompt.

  3. Prepare a guided activity

    Objective: Assemble a short teaching resource with assistance. Learner instructions, example, duration and answer key; questions linked to the objective rather than simple memorisation.

  4. Check and decide

    Objective: Assess the quality of the resource without confusing presentation with relevance. Checklist with three ratings: satisfactory, requires correction, unverified; accuracy, clarity, educational alignment and feasibility.

What you take away

  • Key points sheet on uses, limitations and precautions.
  • Initial prompt and improved version, with responses compared.
  • Fifteen-minute activity sheet and three questions with answer keys.
  • Completed quality checklist with decisions on corrections.

Method and assessment

  • Short input sessions followed by immediate practice using the running case study.
  • Individual work followed by work in pairs, with peer review of the outputs.
  • Guided group discussion: what works, what needs correcting and what remains a human decision.
  • Preparation: Check access to a generative AI tool authorised by the organisation; arrange a shared demonstration if necessary. Prepare the fictitious case file provided: beginner audience, learning objective and reference sheet, with no personal data.

Observable criteria: The prompt specifies the beginner audience, learning objective and output format. ; The activity includes an observable learner action and fits within fifteen minutes. ; The three questions have answers checked against the reference sheet. ; The checklist distinguishes accepted elements, necessary corrections and points still to be verified. ; No personal or confidential data is entered in the exchanges..

Frequently asked questions

Do you need to have used AI before?

No. The demonstration and initial requests are guided, using accessible vocabulary.

Can you share learners’ work?

The exercises use only fictitious or anonymised cases, within tools authorised by the organisation.

Can the generated resource be distributed immediately?

No. The trainer must check the content, expected answers and suitability for the audience before distribution.

Will you learn to automate training design?

No. This introduction explores a short activity; it covers neither automation nor the complete design of a learning programme.

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