Summarize Group Discussion is one of the two Speaking task types Pearson added to PTE Academic in August 2025. You hear three people discuss a topic, then summarise what they said. Nothing on screen carries the content, so your notes are everything. This guide covers the official format, what the score guide rewards, a note layout that works under time pressure, and three practice discussions.
Checked 15 and 16 October 2026.
Format and scoring facts come from Pearson's Speaking and Writing format page, the Test Taker Score Guide and the 2025 updates page. ScoreFluent is not affiliated with or endorsed by Pearson. The technique is ours.
How long is Summarize Group Discussion?
- Questions per test: 2 to 3 (score guide).
- Audio: a discussion between three people, up to 3 minutes. It starts automatically.
- Preparation: 10 seconds after the audio finishes.
- Speaking time: 2 minutes.
- Notes: you can write on the erasable whiteboard while the audio plays.
- Skills: the score guide lists Listening and Speaking. Reading is used only for the instructions and Writing is not assessed.
Pearson's 2025 updates page says the new task types are in the Speaking and Writing section, which the format page lists at 76 to 84 minutes in total.
How is Summarize Group Discussion scored?
The score guide gives three traits. Content is rated 0 to 6, Pronunciation 0 to 5 and Oral Fluency 0 to 5. Content is scored first by AI, then a human expert reviews it before the task score is confirmed. Pearson says pronunciation and fluency are AI-scored only.
The Content descriptors are the useful part, because they describe what a good summary does. Paraphrased from the score guide:
- At the top (6): the response is clear and accurate, paraphrases the main ideas in your own words, and expands on the details of each speaker's contribution. It explores the relationships between different points of view, uses a variety of expressions, and is organised in a logical sequence with connective devices.
- In the middle (4): it captures the main ideas and some details but may include a few inaccurate ideas. It focuses more on individual perspectives than on how they relate, and the ideas are not always well connected.
- Near the bottom (2 and below): it is mostly inaccurate or incomplete, relies heavily on repeating language from the discussion without reformulation, and is hard to follow.
Two things follow. First, the descriptors reward comparison between speakers, not just a list of what each said. Second, repeating the audio's own wording without reformulating it is named as a weakness, which matches Pearson's instruction to use your own words.
What should you write while the discussion plays?
You cannot write everything, and you do not need to. Three speakers means three stances, so give each speaker a line on the whiteboard and capture one stance and one reason. This layout is ours:
- Speaker 1: stance, plus the main reason (3 to 5 words).
- Speaker 2: stance, plus the main reason.
- Speaker 3: stance, plus the main reason.
- Link: one phrase for how they relate, such as "1 positive, 2 raises risks, 3 reconciles".
Use abbreviations you can read back instantly and write keywords, not sentences. If a speaker makes a second point worth keeping, add a single extra word to their line. The relationship line matters because the top Content descriptor asks for it.
Here is that layout applied to the first practice discussion below. These notes are our worked example, not a model from the bank:
- S1: AI helps learning, personalised paths, grading, feedback, access.
- S2: worries, over-reliance, critical thinking, bias and privacy, digital divide.
- S3: both valid, tool not replacement, train teachers, AI literacy, blended.
- Link: 1 optimistic, 2 cautious, 3 reconciles.
How should you structure the two minutes?
Plan in blocks rather than sentences. As a rule of thumb, which is ours rather than Pearson's:
- Opening, about 15 seconds. One sentence naming the topic and the overall picture.
- One block per speaker, about 25 to 30 seconds each. Their stance and the reasons, in your own words.
- Relationship and close, about 15 to 20 seconds. How the views connect, then a single closing sentence.
An opening sentence for the worked example might be: "Three speakers discuss AI in education: the first sees personalised learning and wider access, the second warns of over-reliance, bias and a widening digital divide, and the third argues for a blended approach with teacher training and AI literacy." That is one sentence and it already covers all three speakers.
Call speakers "the first speaker", "the second speaker" and so on unless a name is clear in the audio. The score guide asks for each speaker's contribution and says nothing about names.
Can you use a template for Summarize Group Discussion?
A short frame is fine. A script is not, and the reason is practical rather than mysterious. Pearson publishes no separate template penalty, but a human expert reviews Content on this task, and the score guide lists "a response that does not deal properly with the prompt due to significant amounts of pre-prepared/memorized material" among the examples that receive no Content points. A frame for your opening and closing sentences cannot cause that. A paragraph written before you heard the topic risks it.
Keep the frame to a sentence at each end and fill the middle from your notes. For more on this, see do PTE templates still work in 2026.
What are the common Summarize Group Discussion mistakes?
- Summarising only the first speaker. You have three speakers and two minutes. The descriptors ask for each speaker's contribution.
- Quoting the audio. Repeating phrases without reformulating them is named as a weakness in the lower bands.
- A list with no links. "The first said X, the second said Y, the third said Z" captures views but not the relationships between them.
- Spending a minute on speaker one. Block your time before you start, then watch the clock.
- Stopping early. The lowest band is a response that is relevant but too limited to assign a higher score, and a short response cannot cover three speakers.
Practice items from the ScoreFluent bank (not real exam questions)
These three discussions come from the ScoreFluent question bank. They are not real exam questions. Our bank audio plays in the app, so this page gives you the transcript to check your notes against and the key points the bank lists for a strong summary. Try the app first, then read the transcript.
A note on the bank: all five of our current Summarize Group Discussion items are about artificial intelligence, so the topics here are narrower than a real test would be.
Discussion 1: AI in education (three views)
Speakers: Dr. Elena Rodriguez, Prof. David Chen, Ms. Sarah Jenkins. Transcript length: about 216 words.
Read the transcript
Dr. Elena Rodriguez: Good morning everyone. Today we're discussing the impact of Artificial Intelligence on education. From my perspective, AI holds immense potential to revolutionize learning. Imagine personalized learning paths tailored to each student's pace and style, automated grading freeing up teachers' time, and instant feedback loops that accelerate understanding. It could truly democratize access to quality education globally.
Prof. David Chen: While those benefits are certainly appealing, I have significant concerns we must address. My main worry is the potential for over-reliance on AI, which could diminish students' critical thinking and problem-solving skills. There are also profound ethical considerations, such as data privacy and algorithmic bias, which could perpetuate existing inequalities. Furthermore, the digital divide might worsen, leaving underprivileged students even further behind if access isn't universal.
Ms. Sarah Jenkins: I think both perspectives are incredibly valid, and the key lies in how we strategically integrate AI into the educational system. Instead of viewing AI as a replacement for human interaction, it should be seen as a powerful tool to augment teaching and learning. We need to invest heavily in upskilling educators to effectively use these new technologies, and, more importantly, teach students AI literacy so they can understand its capabilities, limitations, and ethical implications. A blended learning approach, combining the best of human instruction with intelligent AI support, seems like the most prudent path forward.
Points a strong summary covers (listed in the bank)
- AI's potential benefits in education include personalized learning, automated grading, instant feedback, and democratizing access to quality education.
- Concerns exist regarding AI's impact, such as diminishing critical thinking, ethical issues like data privacy and algorithmic bias, and exacerbating the digital divide.
- Strategic integration of AI is crucial, viewing it as an augmentation tool rather than a replacement for human interaction.
- Proposed solutions involve upskilling educators, teaching students AI literacy, and adopting a blended learning approach.
Discussion 2: AI and society (work, augmentation and equity)
Speakers: Dr. Anya Sharma, Prof. Ben Carter, Ms. Chloe Davis. Transcript length: about 336 words.
Read the transcript
Dr. Anya Sharma: Good morning, everyone. Today's discussion revolves around the societal impact of artificial intelligence. From an economic perspective, I believe the primary concern is job displacement. We're already seeing automation taking over routine tasks, from manufacturing to administrative roles. This necessitates significant investment in reskilling programs to prepare the workforce for new, AI-centric positions.
Prof. Ben Carter: While job displacement is a valid concern, I think we should also focus on the augmentation aspect of AI. AI can significantly enhance human capabilities and productivity, allowing us to tackle more complex problems and free up time for creative and strategic work. It's not just about replacing jobs, but transforming them.
Ms. Chloe Davis: I agree with both of you on the potential for both disruption and enhancement. My concern, however, lies more with the social equity implications. If access to these new skills and opportunities isn't universal, AI could exacerbate existing inequalities. There's also the ethical dimension – how AI influences human decision-making, autonomy, and even our social interactions.
Dr. Anya Sharma: Precisely. While AI can create new job categories, the transition period will be challenging. We need to consider how to support those whose traditional livelihoods are rendered obsolete. The economic structure itself might need to adapt to accommodate this shift, perhaps through new forms of social welfare or education models.
Prof. Ben Carter: Absolutely. Think about AI in medicine, for example, assisting doctors in diagnosis, or in scientific research, accelerating data analysis. These aren't replacements, but powerful tools that allow humans to achieve more. The growth of new industries built around AI development, maintenance, and ethical oversight will also create a new wave of employment opportunities.
Ms. Chloe Davis: Exactly. We must ensure that the benefits of AI are distributed equitably across society, not just concentrating wealth and power in the hands of a few. Consideration for privacy, algorithmic bias, and the potential for AI to diminish genuine human connection in certain contexts are crucial discussions that need to happen alongside technological advancement.
Points a strong summary covers (listed in the bank)
- AI will lead to job displacement in routine tasks, requiring significant investment in reskilling and new economic models.
- AI will augment human capabilities, enhance productivity, and create new job categories and industries focused on AI development and support.
- There are significant concerns about social equity, potential for widening inequalities, and ethical issues related to AI's influence on human decision-making and social interactions.
Discussion 3: AI in education (personalisation, access and ethics)
Speakers: Professor Garcia, Liam, Chloe. Transcript length: about 253 words.
Read the transcript
Professor Garcia: Good morning, everyone. Our discussion today centers on the transformative role of Artificial Intelligence in education. Professor, I'd like to start by highlighting AI's incredible potential for personalized learning paths. Imagine systems that adapt to each student's pace and style, providing immediate feedback and tailored resources. This could revolutionize how we approach differentiation in the classroom.
Liam: Professor, while that sounds promising, I have some concerns. My main worry is about over-reliance on AI. Could it stifle critical thinking skills if students become too dependent on automated solutions? Also, there's the significant issue of access and equity. Not all schools or students have the resources for advanced AI tools, potentially widening educational disparities.
Chloe: Liam raises valid points. However, AI isn't just about personalized learning. It could significantly reduce teachers' administrative burdens, freeing them up to focus more on direct instruction and student engagement. Think about automated grading for objective tasks, or AI-powered tools that help identify learning gaps. It also has huge potential for accessibility, providing real-time translation or dictation services for students with special needs. But, yes, ethical considerations like data privacy and algorithmic bias are crucial to address.
Professor Garcia: Excellent points from both of you. So, we have the promise of personalization and administrative efficiency, coupled with concerns about critical thinking, equity, data privacy, and bias. It seems the consensus is that AI offers powerful tools, but its integration must be thoughtful and ethical, prioritizing human interaction and ensuring equitable access. The key is to leverage AI to augment, not replace, human educators and student engagement.
Points a strong summary covers (listed in the bank)
- AI's potential for personalized learning paths, adapting to individual student pace and style, and providing tailored feedback.
- Concerns about over-reliance on AI potentially stifling critical thinking skills.
- Issues of access and equity, as not all students or schools may have resources for advanced AI tools, potentially widening educational disparities.
- AI's ability to reduce teachers' administrative burdens, such as automated grading and identifying learning gaps.
- Potential of AI for accessibility, providing services like real-time translation and dictation for students with special needs.
- Ethical considerations, including data privacy and algorithmic bias, are crucial to address.
- The need for thoughtful and ethical integration of AI, prioritizing human interaction and ensuring equitable access, to augment rather than replace human educators.
Where does Summarize Group Discussion fit in PTE Speaking?
It combines the skills of two older tasks: listening to extended audio and retelling it. For the whole section, see PTE Speaking task by task or the PTE Academic overview. Related guides:
- Retell Lecture: the single-speaker version of this task, with a 90-second lecture.
- Respond to a Situation: the other task Pearson added in 2025.
- Summarize Spoken Text: the same note-taking skill, but written.
Practise Summarize Group Discussion with scoring
On ScoreFluent each Summarize Group Discussion answer gets an examiner report, which costs 8 credits. Scores are practice estimates, not official PTE scores. New accounts get 40 free credits, they never expire, and there is no subscription. Start with 40 free credits →
Questions students ask
What is Summarize Group Discussion in PTE Academic?
A Speaking task Pearson added in August 2025. You listen to a discussion between three people, then summarise it aloud in your own words.
How long is Summarize Group Discussion in PTE?
Pearson lists audio of up to 3 minutes. When it finishes you have 10 seconds to prepare and 2 minutes to speak.
How many Summarize Group Discussion questions are there?
Pearson's score guide lists 2 to 3 per test. The task is part of the Speaking and Writing part, which Pearson lists at 76 to 84 minutes.
How is Summarize Group Discussion scored?
On Content (0 to 6), Pronunciation (0 to 5) and Oral Fluency (0 to 5) in Pearson's score guide. The task counts towards both Listening and Speaking.
Does a human mark Summarize Group Discussion?
A human expert reviews Content before the final score for the task is confirmed. Pearson says Content, Pronunciation and Oral Fluency are all AI-scored traits, and that humans never check pronunciation or fluency.
Can I take notes during Summarize Group Discussion?
Yes. Pearson says you can take notes on the erasable whiteboard while the audio is playing.
Do I have to use my own words in Summarize Group Discussion?
Yes. Pearson says you must use your own words, and gives no credit for no response, an irrelevant response or an unoriginal response.
Should I mention the speakers' names?
Refer to speakers by order or role, such as 'the first speaker', unless a name is clear. Pearson's top Content descriptor rewards covering each speaker's contribution and says nothing about names.
Can I use a template for Summarize Group Discussion?
A short frame for your opening and closing is fine, but the middle must come from the audio. Pearson publishes no separate template penalty, yet a human expert reviews Content, and its score guide says heavily pre-prepared material that does not deal with the prompt can score zero for Content.
Are the practice discussions real PTE questions?
No. They come from the ScoreFluent question bank and follow the published format. Nobody outside Pearson has the real test items.
How is Summarize Group Discussion practice scored on ScoreFluent?
Each answer gets an examiner report, which costs 8 credits. New accounts start with 40 free credits that never expire.