Sample answers · Retell Lecture
PTE Retell Lecture · Speaking + Listening
PTE Retell Lecture sample – Band 79 delivery.
A worked Retell Lecture: an 85-second academic lecture rendered as text, the 4-cell note grid a Band 79 candidate captures during playback, a 40-second spoken retell, and a trait breakdown across Content, Oral Fluency and Pronunciation. Retell Lecture is one of 7 task types where Content is marked by both an AI model and a human reviewer.
Last verified 17 July 2026 · Written for PTE Academic post-August 2025 format · Verified against Pearson's July 2025 Score Guide.
The stimulus lecture
The rise of citizen science in ecology
85 seconds audio · plays once, no replay control · accompanied by a small topic image · no on-screen transcript on the real exam.
Companion image on screen: A composite illustration of a wildlife camera trap on a tree, a smartphone showing a bird-identification app, and a small group of hikers pausing to photograph a species along a trail. Signals that ordinary people are contributing to ecological research.
Citizen science is the participation of members of the general public in scientific research, typically by collecting or classifying observational data that professional researchers could not gather at the scale required. Its modern rise in ecology has three main drivers. The first is smartphone hardware: every participant now carries a location-tagged, timestamped camera capable of documenting a species sighting with GPS-level precision. The second is machine learning. Platforms such as iNaturalist and eBird use computer vision to suggest species identifications, so untrained participants can contribute usable records within minutes of downloading an app. The third is genuine scientific need. Long-term biodiversity monitoring across large geographies is expensive, and the citizen science model absorbs data-collection costs while releasing professional researchers to work on analysis and study design. Published estimates now suggest that citizen scientists contribute the majority of biodiversity records in datasets used for tracking climate-driven range shifts. There are, of course, limits: participation is biased toward accessible, visible species, and record quality varies. But when treated as one input among several, citizen science has already reshaped how ecologists track ecological change across landscapes.
The transcript is shown for study purposes only. On the real PTE Academic exam, the audio plays once, the image sits alongside it, and there is no visible text. Your retell is built entirely from what you heard and captured in notes.
Note grid captured during playback
4 cells, shorthand only, filled in real time.
| Cell | Note (shorthand) |
|---|---|
| TOPIC | Citizen science in ecology → public collects/classifies observational data at scale professionals can't |
| MAIN CLAIM | 3 drivers behind modern rise: (1) smartphones (GPS + timestamp cameras) / (2) machine learning (iNaturalist, eBird → auto species ID) / (3) scientific need (cheap long-term biodiversity monitoring) |
| EVIDENCE | Citizen scientists now contribute MAJORITY of biodiversity records used for climate-driven range shift tracking |
| CONCLUSION | Limits exist: participation biased toward accessible/visible species, record quality varies. But: reshaped how ecologists track change across landscapes |
Grid drawn on the erasable whiteboard during the on-screen instruction, BEFORE the audio starts. Filled with arrows and abbreviations during the 85 seconds of playback. Trying to write full sentences would eat the second half of the audio.
Delivery version · Band 79
97-word retell in 37 seconds.
97 words · 37 seconds at 155 wpm · fills the 40-second recording window with 3 seconds of headroom. One sentence per grid cell, delivered in cell order, with signposted structure the human reviewer expects.
Sentence-by-sentence
How each grid cell became one part of the retell.
Opener (topic + role of public, 18 words)
“The lecture examines the rise of citizen science in ecology, in which the public helps collect scientific data.”
Names the topic in full and defines the term inside the same sentence. Immediate content signal; the human reviewer knows within 5 seconds you understood the lecture.
Main claim signposted (8 words)
“The speaker identifies three drivers behind this growth.”
Signposts the enumerated structure that follows. Tells the AI you have organised the retell rather than free-associating.
Three drivers, one clause each (31 words)
“First, smartphones now give every participant a GPS-enabled camera. Second, machine learning platforms such as iNaturalist and eBird can suggest species identifications automatically. Third, professional ecologists needed cheap large-scale biodiversity monitoring.”
All three drivers preserved, with the concrete platform names (iNaturalist, eBird) that lift Content above a gist retell.
Evidence claim (17 words)
“The lecturer notes that citizen scientists now contribute the majority of biodiversity records used for climate research.”
Captures the load-bearing quantitative claim from the lecture. Attributing it to the lecturer, not to the world, keeps the retell honest.
Conclusion with acknowledged limits (23 words)
“Although there are limits around species bias and data quality, the overall claim is that citizen science has reshaped ecological monitoring across landscapes.”
Concessive structure ("although") demonstrates linguistic range and preserves the lecture's own nuance. Doesn't overclaim.
Trait breakdown
Band 79What earned each trait score.
| Trait | Score | Why it scored there |
|---|---|---|
| Content | 5/5 | Topic, main claim (3 drivers), specific evidence (majority of biodiversity records) and conclusion (with acknowledged limits) all present. Content on Retell Lecture is one of the 7 hybrid-scored traits: AI plus a human expert reviewer both mark it. Both would score this 5/5. |
| Oral Fluency | 4/5 | Natural academic pace at 155 wpm across the whole 37-second delivery. Continuous flow between signposted sections. Deduct 1 for one brief hesitation between the second and third driver. |
| Pronunciation | 4/5 | Clear articulation on technical terms (biodiversity, ecological, geographies). Deduct 1 for slightly compressed stress on "iNaturalist" – a Band 90 delivery would give equal weight to each syllable of the platform name. |
| Total | 13/15 | Consistent with Band 79 across both Speaking and Listening (Retell Lecture feeds both skills). |
Note: Retell Lecture Content is scored by AI PLUS a human expert reviewer (one of 7 hybrid-scored task types on the PTE Academic exam). If AI and human disagree on Content, a second human decides. Oral Fluency and Pronunciation are always AI-only, never touched by human reviewers.
Timing plan
85s audio, 10s prep, 40s speak.
| Time | Stage | What to do |
|---|---|---|
| 0s | Audio + image appear | The 85-second audio starts. A topic image sits alongside it. Do not try to write full sentences yet. Draw your 4-cell grid on the erasable whiteboard in the first 5 seconds. |
| 0 to 85s | Capture the note grid | Fill TOPIC / MAIN CLAIM / EVIDENCE / CONCLUSION rows in shorthand. Arrows, abbreviations, numbers verbatim. Full sentences during the audio = you fall behind. |
| 85s | Audio ends | 10-second preparation window opens. Look at your grid. Decide on your opening sentence. Do NOT try to redraft the grid – trust what you captured. |
| 95s | Beep + recording starts | There IS a short beep on Retell Lecture (unlike Repeat Sentence). Begin speaking within 1 second. Every second of silence at the start costs you Oral Fluency and Content. |
| 95 to 130s | Deliver the 40s retell | Aim for 90 to 105 words at 140 to 160 wpm. Move through the 4 grid cells in order. Don't restart, don't backtrack, don't pause for more than 1 second at a time. |
| 133s+ | Auto-stop | Recording auto-stops after 3 seconds of silence, and hard-stops at 40 seconds total. Finish your final sentence and hold. |
The 4-cell method
5 steps that turn a 90s lecture into a 40s Band 79 retell.
Draw the 4-cell grid BEFORE the audio starts
Use the seconds during the on-screen instruction. Four labelled boxes: TOPIC, MAIN CLAIM, EVIDENCE, CONCLUSION. Total setup time: 5 to 8 seconds.
Capture MAIN CLAIM as an enumerated list, not prose
Most Retell Lecture audios enumerate 2 to 4 sub-points (drivers, causes, categories, stages). Write them as a numbered list in the grid. That structure becomes your delivery skeleton.
Preserve at least ONE quantitative or specific claim
Numbers, percentages, place names, proper nouns – these are what separates a Band 79 retell from a Band 65 gist. Capture at least one verbatim: "majority of records", "iNaturalist", "climate research".
Use the 10s prep window to plan your opener only
Ten seconds is not long enough to rehearse a full retell. Use it to decide your opening sentence ("The lecture examines...") and to visualise the grid order. Everything after sentence 1 is improvised from the grid.
One sentence per grid cell, in grid order
TOPIC → sentence 1. MAIN CLAIM → sentences 2 and 3 (a signpost + the enumerated drivers). EVIDENCE → sentence 4. CONCLUSION → sentence 5. This produces a 90 to 105 word retell that fills the 40-second window.
6 common Retell Lecture mistakes
The failure modes that drag a Band 79 to a Band 60.
| Mistake | What it costs you |
|---|---|
| Trying to write full sentences during the audio | You will fall behind by 20 to 40 seconds and miss the second half of the lecture. Shorthand only during audio; sentences come out of your mouth, not out of your pen. |
| Ignoring the accompanying image | The image usually reinforces the topic or gives a visual anchor for the main claim. Skipping it can mean you miss the framing that makes the audio easier to follow. |
| Silence for the first 3 to 4 seconds of the recording | Content and Oral Fluency both drop for early silence. The 10-second prep window is where you plan; the moment the beep sounds you speak. Do not use the recording window to think. |
| Retelling only the introduction of the lecture | Lectures typically build the load-bearing argument in the middle. A retell that stops at the opener misses Content and misses the human reviewer's expected structure. |
| Adding your own opinions or examples not in the lecture | Retell Lecture is a summary task, not an essay. Personal opinions, world knowledge you added, or paraphrased examples from other sources all reduce Content because they are not what the lecturer said. |
| Using the same rigid template on every retell | AI models detect stock openers ("This lecture is about..."). Vary opener across practice: "The lecture examines", "The speaker discusses", "The recording explains". Same structure, different opener. |
FAQ
Retell Lecture, answered.
How is PTE Retell Lecture scored?
Three traits per the July 2025 PTE Academic Score Guide: Content (0 to 5), Oral Fluency (0 to 5) and Pronunciation (0 to 5). Content is hybrid-scored, meaning both an AI model and a human expert reviewer mark it – Retell Lecture is one of only 7 task types with human-reviewed Content. Oral Fluency and Pronunciation are AI-only, always. Maximum raw score per item is 15.
How many Retell Lecture items are on the PTE Academic test?
2 to 3 items per test per Pearson's July 2025 Score Guide. Retell Lecture feeds both your Speaking score (via Content, Oral Fluency and Pronunciation) and your Listening score (Content is a listening comprehension check). Missing one item can drop both skill scores by several points.
How long is the audio for Retell Lecture?
Up to 90 seconds per Pearson's Score Guide. Most items land in the 60 to 90 second window. The audio plays exactly once, with no replay control, and it is usually accompanied by a small topic image on screen. You then have 10 seconds of preparation before the 40-second recording begins.
Is there a tone or beep before the recording starts on Retell Lecture?
Yes. Retell Lecture, along with Read Aloud, Describe Image, Summarize Group Discussion and Respond to a Situation, plays a short beep at the end of the 10-second preparation window. Repeat Sentence and Answer Short Question are the only recording tasks in Part 1 with no beep.
How long should my Retell Lecture answer be?
Aim for 90 to 105 words, delivered in 35 to 40 seconds at 140 to 160 words per minute. That is enough to cover topic, main claim, one piece of evidence and a conclusion without rushing or padding. Under 60 words and you probably missed a major point; over 110 words at natural pace will not fit inside the 40-second recording window.
Can I take notes on scratch paper during Retell Lecture?
Yes. The test centre provides an erasable whiteboard and pens; there is no on-screen scratchpad. Draw your 4-cell note grid before the audio starts, fill it in shorthand during playback, and use it as the skeleton for your spoken retell during the 10-second preparation window.
What is the difference between Retell Lecture and Summarize Spoken Text?
Both feed Listening and use a similar note-grid capture skill, but the output format is different. Retell Lecture is a spoken 40-second retell of an audio up to 90 seconds long. Summarize Spoken Text is a written 50 to 70 word summary of an audio 60 to 90 seconds long, with 10 minutes to write. Retell Lecture rewards oral fluency; SST rewards writing accuracy.
Keep going with Retell Lecture
One pattern, three depths.
You've just read the band 79 worked example. Here's the rest of the loop for this task.
Reusable framework
Retell Lecture template
The reusable answer framework — structure, sentence starters, timing marks — that fits any Retell Lecture prompt.
Read the template →Interactive drill
Practise Retell Lecture
Free interactive drills — do the reps yourself with the model answer revealed after each attempt.
Start the drill →Further reading
Related tools.
- → Retell Lecture template – the 5-part skeleton for the 40-second recording window.
- → Summarize Spoken Text sample – the sibling listening task with a written 50 to 70 word output.
- → Describe Image sample – the sibling speaking task with a visual stimulus and 25-second prep.
- → Retell Lecture guide – task overview and free practice drills.
- → Take a free scored mock – real Retell Lecture items with AI scoring.