Advisory · Organisation · Development
AI learning & intelligent training
1. Brief service summary
Examine and prepare uses of artificial intelligence to support learning. The engagement emphasizes explicit learning objectives, authorized data and human controls, without equating automated personalization, response reliability and evidence of learner progress.
2. Your needs
You are considering learning assistants, adapted exercises or support for resource production, but benefits and limitations still need specifying. You wish to select useful applications without exposing individual data, introducing inaccurate content or allowing a tool alone to decide on participants' skills.
3. Objectives of the engagement
Connect each contemplated use to a learning need and define what must remain under human responsibility. The approach aims to specify authorized sources, usage conditions and verification criteria. It helps compare an AI option with simpler methods, then prepare a pilot to assess usefulness, limitations and supervision workload.
4. Indicative scope
The engagement may cover use case selection, learning scenario design and definition of review rules. Responses, exercises and suggestions are assessed for accuracy, relevance and audience suitability. Learning data, individual profiles and material rights are examined before any tool choice or experimentation involving people.
5. Possible delivery arrangements
Learning and technical workshops, mock-ups and trials using authorized data may be proposed within a separately approved framework. A teacher or subject-matter expert checks content. Participants must know the tool's role and have a way to report difficulties; no certification or learning pathway guidance decision is implicitly automated.
6. Possible deliverables
As agreed: a use case portfolio, assistance scenarios, supervision rules and a pilot protocol. A grid may examine errors, bias, accessibility and supplier dependencies. Deliverables are indicative; they constitute neither provision of an operational assistant nor validation of every response a system might produce.
7. Conditions and limitations
General AI advice falls under 06.06; digital pedagogy under 15.06. No learning gain, absolute reliability or savings is guaranteed. Tools, licences, AI consumption and integrations require separate choices. No data transfer, training on private content or activation of a PRO’ADVISORY SaaS function is presumed authorized.