How do the grading criteria for the TOEFL writing template samples align with the actual rubrics used by human examiners?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do the grading criteria for the TOEFL writing template samples align with the actual rubrics used by human examiners?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
ETS TOEFL iBT writing scoring rubric human raters official rubric 2026 writing tasks Google ↗
site:ets.org TOEFL writing rubrics scoring guides academic discussion integrated writing Google ↗
- TOEFL iBT® Integrated Writing Rubric · ets.org
- Writing for an Academic Discussion Task Transcript · www-vantage-qa2-publish.ets.org
- Writing Independent · in.ets.org
- TOEFL iBT Writing Section · ets.org
- TOEFL iBT Test Content · ets.org
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
ETS TOEFL iBT writing scoring rubric human raters official rubric 2026 writing tasks OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
site:ets.org TOEFL writing rubrics scoring guides academic discussion integrated writing OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |