ACME Likert Scale Plugin Demo
Demonstrates custom <likertChoice> element handling with priority-based extraction
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Interaction Info
QTI XML Source
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<?xml version="1.0" encoding="UTF-8"?>
<assessmentItem xmlns="http://www.imsglobal.org/xsd/imsqti_v2p2"
identifier="likert-5pt-agreement"
title="5-Point Agreement Scale">
<responseDeclaration identifier="RESPONSE" cardinality="single" baseType="identifier">
<correctResponse>
<value>agree</value>
</correctResponse>
</responseDeclaration>
<itemBody>
<h2>Learning Confidence Assessment</h2>
<p>Please indicate your level of agreement with the following statement:</p>
<blockquote style="font-style: italic; margin: 1rem 0; padding: 1rem; background: #f5f5f5; border-left: 4px solid #0066cc;">
"I feel confident in my understanding of QTI 2.2 assessment items."
</blockquote>
<choiceInteraction responseIdentifier="RESPONSE" maxChoices="1">
<prompt>Rate your agreement:</prompt>
<likertChoice identifier="strongly_disagree">Strongly Disagree</likertChoice>
<likertChoice identifier="disagree">Disagree</likertChoice>
<likertChoice identifier="neutral">Neutral</likertChoice>
<likertChoice identifier="agree">Agree</likertChoice>
<likertChoice identifier="strongly_agree">Strongly Agree</likertChoice>
</choiceInteraction>
</itemBody>
</assessmentItem>✓ Plugin Registered
The ACME Likert Scale Plugin has been successfully registered with priority 500.
When the Player parses QTI XML containing <likertChoice> elements,
the Likert extractor will take precedence over the standard choice extractor.
Likert Choice Elements
✓ This item contains <likertChoice> elements
The Likert extractor will:
- Detect the scale type (agreement, frequency, satisfaction, etc.)
- Extract choice metadata (scale points, likert index)
- Prevent shuffling (Likert scales must maintain order)
- Generate default labels for empty choices
How It Works
1. Custom Element Detection: The extractor's canHandle() method checks for <likertChoice> children
2. Priority-Based Dispatch: Vendor-specific extractor (priority 500) takes precedence over standard extractor (priority 10)
3. Type Detection: Automatically detects 6 scale types (agreement, frequency, satisfaction, quality, importance, likelihood) based on text patterns
4. Default Labels: Generates appropriate labels for 3, 4, 5, and 7-point scales when <likertChoice> elements are empty
5. Validation: Ensures 2-7 scale points, no shuffling, and single selection (maxChoices=1)