Learning with AI assistance
Uses generative AI to obtain explanation, examples and practice faster, verifies the answers against reliable sources and critically tests what is adopted.
How hrmforce measures this
- Assessment method
- Work sample test · rho 0.33 (SD 0.09)
- hrmforce instrument
- Work sample test
- Competency (50-framework)
- Learning Ability
- Trainability
- high
- Demand outlook 2026 to 2030
- rising
The candidate performs a representative work sample under standardised conditions.
Behavioural anchors
| Level | Behaviour at this level |
|---|---|
| N1 Guided | Asks an AI assistant about unfamiliar concepts and puts the answers to an experienced colleague for checking. works under supervision and follows instruction · routine, one variable at a time · own task |
| N3 Proficient | Uses AI to explain and quiz on material, checks claims in original sources and names where the model was wrong. sets own approach and seeks input proactively · several variables, some ambiguity · own team or process |
| N5 Leading | Determines how the organisation uses AI for learning responsibly, sets rules for source verification and trains others in critical use. sets the standard and the policy · strategic, under high uncertainty · organisation, value chain or profession |
N2 and N4 are deliberately not anchored. Raters place them between the anchors, following the O*NET convention.
Underlying skills
These skills inherit the assessment route and the behavioural anchors of this construct.
| T | Skill | Definition | Demand outlook 2026 to 2030 |
|---|---|---|---|
| V | Practising with an AI assistant Practising with AI | Uses an AI assistant as sparring or practice partner and afterwards verifies the substantive accuracy. | rising |
| V | Writing a prompt for explanation Prompt writing | Formulates a question to an AI assistant with role, level, context and desired form of answer. | rising |
| V | Verifying an AI answer against the source Verifying AI output | Looks up the underlying document, article or legal provision to check whether the answer is correct. | rising |
| V | Comparing sources for AI answers Source triangulation | Sets the AI answer against two independent sources and judges where those diverge. | rising |
| V | Recognising hallucination in AI output Detecting hallucination | Recognises invented sources, figures or rules in AI output by implausibility and missing references. | rising |
| V | Critically checking an AI summary Checking AI summaries | Compares an AI summary with the original document and watches for lost nuance and context. | rising |
| V | Using AI for practice questions and feedback AI generated practice | Has an AI assistant generate practice questions, cases or feedback on own work and checks it critically. | rising |
| V | Documenting and accounting for AI use AI transparency | Makes visible where AI was used in a piece of work and which checks were carried out. | rising |
| V | Safeguarding privacy when using AI AI data protection | Enters no personal data or confidential company information into an AI tool without permission. | rising |