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STEM REASONING AND EVIDENCE WORKBENCH

Question Difficulty Distribution Analyzer

Classify anonymous item facility and summarize item-count and point-weighted distribution with uncertainty evidence.

Runs in this browser tabEditable downloadUp to 500 structured rows and 30,000 characters per field. Use anonymous or fictional labels.

Learning inputs

Build the question difficulty distribution analyzer

Enter a fictional analysis label, maximum facility for the hard band, and minimum facility for the easy band. Add item | attempted count | correct count | positive assessment points | hard, moderate, or easy claim rows. Use aggregate anonymous counts from one comparable administration.

Generation uses only the information entered in this tab. It does not fetch sources or make student decisions.

Review output

Your learning artifact appears here

Load the worked example to inspect realistic inputs, or enter anonymous classroom or laboratory evidence. Results remain in this browser tab until you copy or download them.

Transparent method

How the question difficulty distribution analyzer works

Facility percent equals correct divided by attempted times one hundred. Values at or below the hard maximum are hard, values at or above the easy minimum are easy, and values between are moderate. A 95 percent Wilson interval shows binomial sampling uncertainty. Points are summed by observed band for weight shares. A supported band claim matches the entered threshold rule for this cohort and administration. Facility is descriptive and can change with instruction, access, sample composition, scoring, and item wording. Use the intervals, point weights, learner explanations, distractor evidence, standards map, and another administration before revising the assessment.

  1. 01
    Before generation

    Confirm the question, approved source, units, notation, signs, response coding, model assumptions, and review threshold. Keep an unchanged copy of measurements or learner evidence.

  2. 02
    During review

    Run the worked example, inspect every intermediate row, and compare the result with a hand calculation, diagram, representation, periodic table, or approved laboratory method.

  3. 03
    Before use

    Record the method, assumptions, uncertainty, units, classifications, and flagged rows. Verify the editable report independently before instruction, assessment, or laboratory use.

How to interpret the result

Question Difficulty Distribution Analyzer

Before generation

Use after scoring to inspect how observed facility and assessment points are distributed across teacher-defined bands. It does not estimate item-response parameters, prove cognitive demand, compare groups fairly, diagnose learners, validate standards alignment, adjust for guessing, or authorize high-stakes item removal.

Worked example

Twenty-seven of thirty makes the recall item 90 percent and easy. Eighteen of thirty is moderate, and nine of thirty is hard under the 35 and 85 thresholds. Twenty-four of thirty is 80 percent and therefore moderate, so its supplied easy label is flagged. Point shares reveal that this reviewed item carries forty points.

Formula or methodology

Facility percent equals correct divided by attempted times one hundred. Values at or below the hard maximum are hard, values at or above the easy minimum are easy, and values between are moderate. A 95 percent Wilson interval shows binomial sampling uncertainty. Points are summed by observed band for weight shares.

How to interpret the result

A supported band claim matches the entered threshold rule for this cohort and administration. Facility is descriptive and can change with instruction, access, sample composition, scoring, and item wording. Use the intervals, point weights, learner explanations, distractor evidence, standards map, and another administration before revising the assessment.

Common mistakes

Do not call an easy item low quality, equate difficulty with cognitive demand, divide by enrollment instead of attempts, hide missing responses, compare unlike cohorts, ignore point weight, or remove an item from one small sample. Verify scoring and alignment, inspect distractors and access barriers, and protect small cells.

CAST assessment guidance

Learning boundary

A calculated signal still requires subject review

This browser-local workbench applies only the disclosed rules. It cannot diagnose a learner, certify an experiment, establish a chemical structure, or replace teacher, laboratory, and safety judgment.

Review checklist

Human review before educational use

  • Every value, symbol, unit, classification, date, and response matches the source evidence.
  • The disclosed model matches the course method and intended question.
  • Intermediate rows and conflicts have been inspected rather than using only the headline.
  • A teacher or learner verifies the report independently and records corrections.

Practical questions

Question Difficulty Distribution Analyzer questions

Does Nirmion upload these inputs?

No. Processing occurs in the current browser tab. Avoid personal information and retain authoritative records only in the school-approved system.

Can this result prove understanding or a scientific law?

No. It describes entered evidence under one disclosed rule. Compare several evidence sources and ask for reasoning before drawing a conclusion.

Can I submit the downloaded report as finished work?

Treat it as an editable calculation aid. Show your own reasoning, cite required sources, and follow the course method and academic-integrity rules.