Consolidating learning activities for reuse
How can you make learning activities easy to find, adapt and test without losing their coherence?
3500 € per session, excl. VAT
In short
In two days, totalling 14 hours excluding breaks, design a prototype learning activity library with support from generative AI. You will structure the activity sheets, produce controlled variants and test their reuse. The work results in an initial catalogue, a quality assessment grid and a pilot plan, without aiming for immediate implementation at scale.
Why this training?
Activities stored across disparate media become difficult to compare. Without a duration, an observable objective or self-contained instructions, reusing them often requires consulting their author. Generative AI can help standardise activity sheets and suggest variants. However, this approach requires human pedagogical validation, source traceability and testing to avoid duplicates or inconsistent adaptations. Running case study: The fictitious organisation Avelisse Transmission has twelve scattered activities for training team leaders in feedback. Its designers must compile a prototype of six reusable activity sheets, including two adapted for remote delivery, then check whether another facilitator can use them independently. Transfer to the workplace: After the session, test two activity sheets with a facilitator who did not design them, record requests for clarification and decide on corrections before expanding the catalogue.
Objectives of this training
- Define a taxonomy suited to facilitators’ searches
- Formalise a template for a self-contained activity sheet
- Produce six documented activities with AI assistance
- Test reuse and resolve ambiguities
- Establish contribution rules and a pilot plan
Who is it for and what are the prerequisites?
Roles and tasks concerned
- Instructional designers and learning pathway designers
- Training managers and facilitators responsible for pooling their activities
Prior skills
- Be able to design an activity aligned with a learning objective
- Have experience of giving structured prompts to generative AI and checking its responses
What you will work on
Audit the initial collection
Objective: Define the boundaries of reusable units. Activity, learning sequence, resource; granularity and duplicates.
Organise searching
Objective: Build a useful indexing system. Objective, audience, duration, delivery mode, number of participants and materials.
Design the template
Objective: Make each activity sheet self-contained. Instructions, timed procedure, debriefing, accessibility, sources and version.
Set boundaries for generation
Objective: Limit unfounded additions. Pedagogical constraints, missing information and human validation.
Assemble the prototype
Objective: Compile an initial coherent catalogue. Index, links, identifiers and validation statuses.
Adapt without distorting
Objective: Distinguish between invariants and parameters. Delivery mode, duration, group size and accessibility needs.
Evaluate the activity sheets
Objective: Identify pedagogical shortcomings. Clarity, feasibility, rights, bias and coherence of the debriefing.
Test with peers
Objective: Observe actual reuse in a simulation. Search scenarios and facilitation protocol.
Govern contributions
Objective: Preserve the coherence of the collection. Review, validation, versions, archiving and withdrawal.
Prepare the pilot
Objective: Decide on the conditions for expansion. Scope, responsibilities, search time and autonomy in facilitation.
What you take away
- Catalogue prototype containing six activity sheets
- Template, taxonomy and generation instructions
- Quality assessment grid and test report
- Contribution charter and pilot plan
Method and assessment
- Brief instructional input followed by immediate practice using the case study that runs throughout.
- Individual work followed by work in pairs, with reciprocal review of the outputs.
- Guided group review: what works, what needs correcting and what remains a human decision.
- Preparation: Prepare three fictional or anonymised examples and check reuse rights. Identify the tools authorised by the organisation for generating, storing and sharing the activity sheets.
Observable criteria: All mandatory fields are completed in the six activity sheets. ; Each activity links the objective, expected output and debriefing. ; Two variants explicitly describe the adaptations without changing the intended objective. ; A peer locates an activity sheet and facilitates the activity without an explanation from its author; discrepancies are recorded. ; The pilot specifies responsibilities, indicators, decision thresholds and a relative timeline..
Frequently asked questions
Is a specialised platform needed?
No, an authorised shared workspace is sufficient to test the classification and activity sheets.
Can internal materials be imported?
Only if anonymised, with rights verified and within authorised tools.
Does AI validate the activities?
No, the designers check the content and peers test its use.
Will the library be rolled out in two days?
The session produces a tested prototype and a pilot plan, not a full-scale rollout.
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