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Diagnose knowledge gaps from wrong answers

Auteur: AILesson8 min de préparationTesté avec:ChatGPTRévisé: 2026-08-28

Réponse rapide

Use answer evidence to separate concept, procedure, interpretation, and careless errors before planning remediation. Fournir: Course and target, Questions and attempts, Diagnosis constraints. Résultat attendu: An evidence-linked gap map, confidence levels, diagnostic questions, and prioritized practice plan.

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Diagnose knowledge gaps only from the supplied course context and answer evidence.

Course, level, objectives, source rules, and upcoming use:
[context]

Questions, learner working, answers, correct answers or rubric, and feedback:
[attempts]

Study time, depth, allowed materials, and solution policy:
[constraints]

For each error, quote or precisely locate the step that supports your diagnosis. Classify the most likely cause as concept, prerequisite, procedure, interpretation, recall, calculation, or execution slip, but do not treat a single mistake as proof of a stable gap. Separate observed evidence, hypotheses, and unknowns. Group repeated errors into underlying skills, show dependencies, and assign confidence. Propose one short diagnostic question per uncertain hypothesis before remediation. Then prioritize the smallest set of explanations, worked examples, retrieval practice, and transfer questions that fits the constraints. Withhold full solutions if requested. End with a reassessment rule that can confirm whether each gap has closed.
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De l'entrée au résultat

Un exemple détaillé

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Entrée réelle

Course and target
Grade 8 linear equations. Objectives: distribute, combine like terms, preserve equality, and verify by substitution. Use only the supplied teacher key. Quiz retake is in 6 days.
Questions and attempts
Q1: 3(x+2)=15. Work: 3x+2=15, 3x=13, x=13/3. Key: x=3. Q2: 5x-7=2x+8. Work: 5x-2x=8+7, 3x=15, x=5. Key: x=5. Q3: 2(x-4)+3=11. Work: 2x-8+3=11, 2x-5=11, 2x=16, x=8. Key: x=8. No substitution checks shown.
Diagnosis constraints
Four 25-minute sessions. Diagnose before teaching. Do not reveal answers to diagnostic questions until I respond.

Exemple de sortie

Evidence-linked diagnosis

  1. Distribution across addition — medium confidence gap. Q1 changes 3(x+2) to 3x+2, so the multiplier was applied to x but not 2. Q3 correctly changes 2(x-4) to 2x-8, so this may be sign- or form-dependent rather than a fully missing rule.
  2. Moving terms and combining like terms — currently demonstrated. Q2 is correct and Q3 preserves equality through the isolation steps. One item each is insufficient for mastery.
  3. Verification by substitution — unknown, not a proven gap. No check is shown, but absence of written work does not establish inability.

Diagnostic questions, answers withheld A. Expand 4(y+3) and explain what the 4 multiplies. B. Expand -2(y-5) and explain each sign. C. Without resolving Q1, substitute 13/3 into both sides and report whether they match.

Priority plan: session 1 uses A and B to distinguish general distribution from sign handling, followed by two interleaved expansions. Session 2 practices equations where distribution is and is not needed. Session 3 adds substitution checks and error explanation. Session 4 uses three unseen mixed problems. Mark the gap closed only if at least three differently formed distribution items are correct with an explanation and the learner independently rejects an invalid result by substitution.

Pourquoi cela fonctionne

  1. 1

    Separating evidence from hypotheses prevents one wrong answer from becoming an unsupported label.

  2. 2

    Dependency-aware remediation addresses root prerequisites before repeated surface practice.

Vérifier le résultat

  • Does every diagnosis point to specific answer evidence and state uncertainty?

  • Are careless slips distinguished from repeatable conceptual or procedural gaps?

  • Can the reassessment rule demonstrate that the learner transfers the repaired skill?

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Questions fréquentes

Des réponses pratiques sur le bon moment pour utiliser cette recette, ce qu’il faut fournir et les cas où une vérification humaine reste nécessaire.

What should I prepare before using “Diagnose knowledge gaps from wrong answers”?

For “Diagnose knowledge gaps from wrong answers,” prepare Course and target, Questions and attempts, and Diagnosis constraints. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.

When is the “Diagnose knowledge gaps from wrong answers” result not ready to use?

The result is not ready if it does not yet deliver the stated outcome—An evidence-linked gap map, confidence levels, diagnostic questions, and prioritized practice plan—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.

Which AI tools have recorded tests for “Diagnose knowledge gaps from wrong answers”?

The published test record for “Diagnose knowledge gaps from wrong answers” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.

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