After a practical assessment: ask follow-up questions without coaching
Use neutral follow-up questions to explore a learner’s reasoning, record what they say and identify any practical evidence still needed.
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Practical thinking on assessment, teaching and the thoughtful use of AI. From the people building EduMark.
17 stories for “Evidence”

Use neutral follow-up questions to explore a learner’s reasoning, record what they say and identify any practical evidence still needed.

Map learning outcomes to existing tasks, evidence and criteria to find gaps and review repeated assessment before adding more work.

A rare workplace event does not automatically make simulation acceptable. Check the assessment rules first, then plan realistic conditions and record what the evidence can show.

Record what the learner demonstrated, how well they performed and any help they received. Use a fictional role-play and adaptable table to make your judgement reviewable.

Check what prior learning can count, map evidence against current criteria and plan targeted assessment for anything still missing. Includes an editable evidence table.

A shared project does not tell you everything each learner knows. Plan individual explanations, evidence links and fair follow-up before the group starts work.

Record the decision, criteria, evidence, reviewer roles and next steps so an assessment appeal can be examined fairly and any wider process issue addressed.

Build a short plan–monitor–evaluate routine into subject teaching so learners can check their evidence and improve work before submission.

A practical framework for choosing remote assessment evidence, reviewing concerns fairly and explaining the process to learners.

An AI or similarity indicator is a reason to review evidence, not a finding of misconduct. Use a clear, proportionate process that gives learners a fair chance to respond.

Map each stage of an assessment, name who acts and what evidence they need, then use a fictional resubmission to spot where work stalls.

Use a clear, human-led process to check document versions, assess evidence, record queries and complete quality checks before releasing marked work.
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