AI and Data Extraction Form Design: Reviewer-Ready Template

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-creators-research-AI-and-data-extraction-form-design-r11a3-creators

1. What is the primary role of AI in designing a data extraction form for systematic review?

   1. AI pilot-tests the form with reviewers to identify problems
   2. AI creates the final, approved form ready for immediate use
   3. AI generates a draft form that requires methodological review and approval
   4. AI decides which variables are most important for answering the research question

2. A methodologist has flagged a data extraction form for revision. What is the most likely reason for their concern?

   1. The form lacks proper field definitions or examples
   2. AI systems cannot generate extraction forms
   3. The form was approved too quickly without review
   4. The form was generated by AI instead of a human

3. Why is methodologist sign-off described as non-negotiable in the extraction process?

   1. AI-generated forms always contain errors that must be corrected
   2. AI requires a human signature to function properly
   3. The fields extracted determine what can be found, making methodological expertise critical
   4. Research journals will not publish without a signature

4. A student claims that AI can determine which variables answer a research question. Why is this incorrect?

   1. AI is not advanced enough to understand research questions
   2. Research questions do not require variable selection
   3. AI lacks the methodological training to evaluate variable relevance to specific research goals
   4. AI can only work with numeric data

5. What is a controlled vocabulary in the context of data extraction forms?

   1. A random collection of words the AI generates
   2. A vocabulary list for writing the research paper
   3. An alphabetical index of all field names
   4. A predefined list of acceptable values for categorical variables

6. After AI generates a draft data extraction form, what is the appropriate next step?

   1. Have a methodologist review and approve the form
   2. Begin data extraction immediately since AI has done the work
   3. Delete the form and create one manually from scratch
   4. Publish the draft form as-is for peer review

7. What does 'reproducibility' mean in the context of systematic review methodology?

   1. Repeating the exact same extraction steps without variation
   2. Having a documented, consistent extraction form that other researchers can follow
   3. Copying another researcher's data extraction form
   4. Using the same computer software as other researchers

8. A researcher wants to use AI for their systematic review. What workflow follows best practices?

   1. Skip the form design entirely and have AI extract data directly
   2. Use AI to generate the form and start extraction right away to save time
   3. Let AI decide which variables to include based on the research question
   4. Use AI to generate a draft, then have a methodologist review and approve before starting extraction

9. Why might a research team choose to use AI to draft their extraction form?

   1. To quickly generate a structured starting point that can be refined
   2. To automatically validate that the research question is answerable
   3. To eliminate the need for any human review of the form
   4. To replace the need for methodological expertise entirely

10. What is the purpose of including an example in each extraction field?

    1. To clarify expected values and reduce ambiguity during extraction
    2. To replace the need for field definitions
    3. To make the form longer and appear more complete
    4. To satisfy journal formatting requirements

11. Which statement accurately reflects AI's limitations in form design?

    1. AI cannot suggest controlled vocabularies
    2. AI cannot generate field definitions or examples
    3. AI cannot produce structured forms with consistent formatting
    4. AI cannot decide which variables actually answer the research question

12. A researcher skips methodologist sign-off and begins extraction. What is the most likely negative consequence?

    1. The AI system will automatically correct any problems
    2. The research will be published more quickly
    3. The form might not capture data needed to answer the research question, compromising the study
    4. Extraction will proceed faster without review

13. What distinguishes a 'reviewer-ready' data extraction form from a basic draft?

    1. It was created entirely by a human rather than AI
    2. It is longer than other forms
    3. It has methodologist approval and includes all required components
    4. It contains more fields than necessary

14. Two reviewers using the same extraction form obtain different data from the same paper. What is the most likely cause?

    1. The research question was too broad
    2. The form lacks clear definitions or examples for certain fields
    3. The form was approved by a methodologist
    4. The AI generated the form incorrectly

15. What would happen if researchers used an extraction form that AI designed without any human review?

    1. Extraction would be faster since no one reviewed it
    2. The form would automatically be methodologically sound
    3. The form might include fields irrelevant to the research question, wasting extraction time
    4. AI-generated forms are always accurate and need no review