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LingoLeap Research · TOEFL Academic Discussion

Does length raise your Academic Discussion score? 3,692 answers measured

How LingoLeap's AI score moves with the length of a TOEFL Academic Discussion answer, from the first 100 words to the last.

Helen He, CEO, LingoLeap · Published 26 Sep 2026 · 3,692 scored answers, retrieved 26 Sep 2026

The finding

Answers under 100 words averaged 20.5 of 30, about 4 points below answers of 100-124 words. Past about 175 words, extra length stopped going with a higher score.

Only 49 of 3,692 answers (1.3%) were under 100 words, and they averaged 20.51 of 30 against 24.71 for 100-124 words. The highest group mean was 25.55, for 175-199 words. Below 175 words, every extra 50 words went with +1.34 points (95% CI +1.11 to +1.56). From 175 words up, the slope was −0.01 per 50 words (95% CI −0.16 to +0.13).

Above 100 words the whole effect is small. Across all answers the correlation between length and score is r = 0.13: length accounts for about 2% of the variation in score.

Read this before quoting it

These are LingoLeap AI scores on published sample answers, not ETS scores and not all test-takers.

Every score here comes from LingoLeap's own rubric-trained AI grader, which reports an estimated 0–30 score and three 0–5 rubric sub-scores. Nothing here was scored by ETS, and nothing here tests how ETS's own scoring works. The answers are the sample answers LingoLeap publishes, which average 25.2 of 30: a stronger-than-typical group, so the spread of scores is narrow. The data is observational: it shows which answers score higher, not what would happen if you changed yours.

Length is not a lever you can pull. Writers who produce longer answers may also be stronger writers, and this data cannot separate the two.

Score by answer length

Official TOEFL materials say an effective Academic Discussion response contains at least 100 words. Almost every sample answer clears that bar: 49 of 3,692 (1.3%) fall short of it, and the median answer is 154 words. The question that matters is what happens above 100.

Dot plot of mean LingoLeap AI score by answer length. The highest mean is 25.6 for 175-199 words.
Mean LingoLeap AI score (0-30) with 95% confidence intervals, by answer length. Groups under 30 answers are not shown. n = 3,692 answers, retrieved 2026-09-26.
Embed this chart

Paste this HTML into your page. It is a static image with a credit link: no script, no iframe.

<figure style="margin:0;max-width:880px">
  <img src="https://lingoleap.ai/research/charts/academic-discussion-length.svg" alt="Mean score by answer length" width="880" height="540" style="max-width:100%;height:auto" loading="lazy">
  <figcaption>Source: <a href="https://lingoleap.ai/research/academic-discussion-length">LingoLeap, Does Length Raise TOEFL Academic Discussion Scores? Data</a></figcaption>
</figure>

/research/charts/academic-discussion-length.svg

The table

WordsAnswersShareMean score (0-30)95% CIScoring 28+Language Use (0-5)
under 100491.3%20.5119.20-21.82<30 answers3.16
100-12450013.5%24.7124.48-24.9412.4%3.73
125-1491,10129.8%25.0624.92-25.2112.7%3.75
150-1741,00727.3%25.4325.30-25.5612.2%3.79
175-19958415.8%25.5525.38-25.7312.7%3.82
200-2493449.3%25.4225.19-25.6510.8%3.79
250+1072.9%25.3024.86-25.74<30 answers3.77

Every length group has at least 30 answers; the rows add up to all 3,692. "<30 answers" marks a share that rests on fewer than 30 answers and is not reported.

Checks

Is it just easier prompts getting longer answers?

Comparing answers only with other answers to the same prompt, score still rises with the logarithm of length (coefficient +2.68, standard error 0.19). Differences between prompts do not account for the pattern.

Where does the rise stop?

The 175-word split is where the group means stop rising in the chart above. Fitting a straight line on each side gives +1.34 points per 50 words below it (n = 2,657) and −0.01 above it (n = 1,035). The split was read off the data, so treat the exact word count as approximate.

Methodology

Sample
Every non-legacy TOEFL Academic Discussion task in LingoLeap's sample library, and the first 20 published sample answers for each: 3,729 sample pages. After exclusions, 3,692 answers across 1,467 tasks (mean score 25.17, SD 2.42; median length 154 words). These are real learner answers that LingoLeap publishes as samples, not every answer ever submitted.
Period
Retrieved 26 Sep 2026. The endpoint does not expose when an answer was written, so submission dates are not recorded.
Source
LingoLeap's public sample endpoint (the same data the sample pages show), read at no more than two requests a second: 3,723 of 3,729 pages returned a record.
How scores were produced
LingoLeap's AI estimate on the 0-30 scale and three rubric sub-scores on 0-5 (Relevance and Contribution to Discussion; Clarity and Elaboration of Viewpoint; Language Use and Grammar), parsed from the grader's report. Not ETS scores, and not on the 1-6 band scale ETS reports for tests from 21 January 2026.
Exclusions
13 records with no answer text and 8 grader failures (overall 0 with every sub-score 0). Any group smaller than 30 answers is not reported.
Limitations
Observational: longer writers may also be stronger writers, so length is not a lever. Published samples average 25.2 of 30, so weaker and shorter answers are under-represented. LingoLeap AI scores, not ETS.
Privacy
Only aggregates are published. No answer text, names, or individual scores appear on this page or in the download.
Length
Words are counted as runs of letters and apostrophes in the answer text, the same tokeniser as LingoLeap's template study. Numbers and punctuation do not count.

Reproduce it

Every figure on this page is produced by scripts/academic-discussion-findings.py in LingoLeap's website repository, which re-reads the public sample pages and reprints each number. The aggregate table is in the Data section below (CC BY 4.0).

What this does not show

  1. 1

    Not ETS

    The scores come from LingoLeap's AI grader. Nothing here tests how ETS scores length.

  2. 2

    Not every learner

    The answers are LingoLeap's published samples, which average 25.2 of 30. Weaker and shorter answers are under-represented, so the under-100 share is likely lower here than among all test-takers.

  3. 3

    Not causal

    Padding an answer is not the same as writing a longer answer with more to say. This data cannot tell the two apart.

  4. 4

    No submission dates

    The public sample data does not say when each answer was written, so the study has a retrieval date, not a date range.

Data

The aggregate tables behind this study, as CSV files.

Licence: Aggregate numbers only, under CC BY 4.0: reuse them with credit to LingoLeap and a link to this page. No learner answers, recordings or individual scores are published.

How to cite

APA 7

He, H. (2026, September 26). Does length raise TOEFL Academic Discussion scores? Data (Version 1.0). LingoLeap. https://lingoleap.ai/research/academic-discussion-length

MLA 9

He, Helen. “Does Length Raise TOEFL Academic Discussion Scores? Data.” LingoLeap, 26 Sept. 2026, lingoleap.ai/research/academic-discussion-length.

Version 1.0 · Published 26 Sep 2026 · DOI: not yet assigned · Licence: CC BY 4.0

FAQ

How long should a TOEFL Academic Discussion answer be?
Official TOEFL materials say an effective response contains at least 100 words. In 3,692 LingoLeap sample answers, the median was 154 words, and the highest-scoring length group was 175-199 words (mean 25.55 of 30 on LingoLeap's AI grader). That is a description of which answers scored higher, not a target that will raise a score.
Do longer answers always score higher?
No. Below 175 words, each extra 50 words went with +1.34 points on average (n = 2,657). From 175 words up, the slope was −0.01 per 50 words (95% CI −0.16 to +0.13, n = 1,035): extra length stopped going with a higher score.
Is this how ETS scores the test?
No. These are LingoLeap's own AI scores. The study says nothing about how ETS's scorers or e-rater treat length.
Can I reuse the data?
Yes. The aggregate table is a CSV on this page, published under CC BY 4.0. Please credit LingoLeap Research and link to this page.

Get your own Academic Discussion answer scored

Write a response and see the same three rubric sub-scores this study uses.

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