Error Analysis Protocol

What This Skill Does

Structures the analysis of student errors to distinguish between procedural errors (wrong method applied correctly), conceptual misunderstandings (fundamental misconception driving the error), and careless mistakes (correct understanding, faulty execution) — then generates targeted follow-up actions appropriate to each error type. Critically, the skill also produces a student self-analysis scaffold so learners can develop their own error-detection skills over time. AI is specifically valuable here because most teachers respond to all errors the same way ("try again" or "here's the correct answer"), when the research shows that each error type requires a fundamentally different response — re-teaching for conceptual errors, practice for procedural errors, and metacognitive monitoring for careless mistakes.

Evidence Foundation

Borasi (1994) demonstrated that errors, when properly analysed rather than simply corrected, become powerful learning opportunities — "springboards for inquiry" that reveal student thinking and create entry points for instruction. Black & Wiliam (1998) identified error analysis as a core component of effective formative assessment, arguing that the diagnostic use of errors is what distinguishes formative from summative practice. Metcalfe (2017) reviewed the benefits of errors in learning and found that errors followed by corrective feedback produce stronger learning than errorless learning, because the error creates a prediction violation that deepens encoding — but only when the error is analysed, not just corrected. Siegler (2002) used microgenetic methods to show that children's mathematical development depends on understanding why incorrect strategies fail, not just learning correct strategies. Tulis et al. (2016) developed a model of individual error processing, identifying that productive error learning requires: error detection (noticing the error), error attribution (identifying the cause), and error correction strategy (knowing what to do differently) — and that each of these can be explicitly taught.

Input Schema

The teacher must provide:

• Student work sample: The work containing errors — described or transcribed. e.g. "Student wrote: 3/4 + 2/3 = 5/7. They added numerators and denominators separately." / "In a history essay, the student wrote 'Hitler started WW1 because he invaded Poland.'"
• Task description: What the student was asked to do. e.g. "Add fractions with unlike denominators" / "Explain the causes of World War II"
• Subject area: Subject and year group. e.g. "Year 7 Mathematics" / "Year 10 History"

Optional (injected by context engine if available):

• Correct response: What a correct response looks like