M1-T1-MLC4 - Clear Context and Structured Questioning Techniques (Prompting)

The quality of an AI answer depends, to a surprising extent, on the quality of the request. The aim of this material is to help teachers give AI tools clear context and well-structured questions. By the end of the material, teachers will be able to name the building blocks of an effective educational prompt (role, task, learner level, learning objective, context, output format and evaluation criteria), turn a vague request into a structured one, apply basic questioning techniques such as examples, constraints and step-by-step reasoning, and improve results through deliberate iteration.