Summarize Written Text in PTE: AI in Natural Disaster Management

In the PTE Academic exam, a key challenge for many candidates is mastering the Summarize Written Text section of the Speaking & Writing part. One increasingly relevant topic in recent years has been the use of AI In Natural Disaster Management, which is not only crucial to improving disaster response but is also likely to appear in the exam, reflecting the growing importance of AI technologies globally.

This post will help you practice your summarization skills by offering a variety of sample texts on this topic, along with band-scored responses and detailed performance analysis. Start practicing now to improve your PTE writing skills and prepare for real exam scenarios!

Example 1: Summarize Written Text – AI and Disaster Resilience

Read the following text and summarize it in one sentence. Your response should be between 5 and 75 words.

Artificial Intelligence (AI) offers transformative capabilities in natural disaster management, helping predict and respond to disasters more effectively. Leveraging data from satellites, ground sensors, internet platforms, and social media, AI-driven systems can anticipate critical events like hurricanes, earthquakes, or floods. By providing real-time predictions, these technologies enable faster preparations, more accurate evacuations, and timely responses, ultimately saving lives and mitigating economic loss. Alongside predictive models, AI aids rescue missions with autonomous drones to locate survivors in hazardous terrains. The integration of innovative AI ensures not only preemptive action but also enhanced recovery efforts post-disaster.

Your task is to summarize the text above in one sentence.

Sample Responses:

Band 90:
Artificial Intelligence enhances disaster management by predicting events, enabling accurate evacuations and timely responses, as well as assisting in rescue missions with autonomous drones.

• Content: The main concepts about AI’s forecasting capabilities for disasters, evacuation, and response are well captured.
• Form: The sentence is within the word limit (26 words).
• Grammar: Grammatically correct, complex sentence structure.
• Vocabulary: Appropriate vocabulary usage, especially critical terms like “predicting events” and “autonomous drones.”
• Spelling: No errors detected.

Band 79:
AI helps predict disasters and improves management by aiding evacuations, timely responses, and using drones for rescue missions.

• Content: Most key ideas are present, but slightly less comprehensive than the higher band.
• Form: Complies with the word limit (21 words).
• Grammar: Simple yet correct sentence structures.
• Vocabulary: The vocabulary is basic but acceptable.
• Spelling: No spelling errors.

Band 65:
AI predicts disasters and helps evacuate people and use drones for rescue.

• Content: Captures the essential points but lacks depth in describing AI’s full range of capabilities.
• Form: Word count is very limited (13 words), which results in less developed content.
• Grammar: Grammatically correct but overly simplistic.
• Vocabulary: Limited selection of vocabulary.
• Spelling: No errors.

Example 2: Summarize Written Text – AI Applications in Disaster Forecasting

Read the following text and summarize it in one sentence. Your response should be between 5 and 75 words.

AI’s role in disaster management goes beyond rescue operations. Predictive analytics driven by machine learning algorithms assess historical data on weather patterns, ocean currents, and tectonic activity, giving us early warnings for hurricanes, cyclones, and earthquakes. These AI models learn and improve autonomously over time, becoming more reliable as they gather more data. Additionally, governments are increasingly relying on AI to create evacuation plans well before disasters even occur, providing a new layer of safety. For instance, AI-based infrastructure planning can highlight at-risk areas, mitigating the impact of extreme weather.

Your task is to summarize the text above in one sentence.

Sample Responses:

Band 90:
AI utilizes machine learning to predict natural disasters by analyzing weather patterns and tectonic data, while also assisting governments in creating proactive evacuation plans and identifying at-risk areas.

• Content: Covers all key ideas, including long-term infrastructure planning and machine learning improvements.
• Form: 28 words, well within the limit.
• Grammar: The sentence is well-structured with complex clauses.
• Vocabulary: Excellent use of academic and technical terms like “machine learning,” “at-risk areas,” and “proactive evacuation plans.”
• Spelling: No errors.

Band 79:
AI predicts natural disasters by analyzing data on weather and tectonic activity and helps governments plan evacuations for at-risk areas.

• Content: Key ideas are included, although the description of AI’s self-improving capacities is omitted.
• Form: Complies with the word limit (19 words).
• Grammar: Grammar is correct.
• Vocabulary: Basic but accurate vocabulary such as “predicts disasters” and “plan evacuations.”
• Spelling: No mistakes.

Band 65:
AI predicts disasters using weather data and helps with evacuation plans.

• Content: Covers fewer ideas and lacks specificity, particularly the long-term impact and precise role of machine learning.
• Form: The sentence is succinct (10 words) but lacks important details.
• Grammar: Simplistic structure.
• Vocabulary: Limited vocabulary.
• Spelling: No errors.

Related Practice:

If you want to dig deeper into important topics that may appear in the PTE exam, check out The impact of renewable energy policies, another trending topic in global environmental discourse.

Vocabulary & Grammar Insights

Here are 10 vocabulary words from the texts above which are important for understanding and response building in your Summarize Written Text practice:

1. Resilience /rɪˈzɪl.jəns/ (n): The capacity to recover quickly from difficulties.

   • Example: AI has improved the resilience of natural disaster responses.

2. Autonomous /ɔːˈtɒn.ə.məs/ (adj): Acting independently or having the freedom to do so.

   • Example: Autonomous drones became crucial in locating survivors after the earthquake.

3. Mitigate /ˈmɪtɪɡeɪt/ (v): To make less severe or serious.

   • Example: AI helps mitigate the effects of natural disasters through predictive modeling.

4. Forecasting /ˈfɔː.kɑː.stɪŋ/ (n): The process of making predictions based on current data.

   • Example: Weather forecasting has drastically improved with the aid of AI.

5. Tectonic /tɛkˈtɒnɪk/ (adj): Relating to the structure of the Earth’s surface.

   • Example: Tectonic shifts are monitored by AI to forecast potential earthquakes.

6. Robust /rəʊˈbʌst/ (adj): Strong and capable of withstanding difficult conditions

   • Example: A robust AI system is essential for effective disaster management.

7. Evacuate /ɪˈvakjʊeɪt/ (v): To remove people from a dangerous place.

   • Example: AI systems help identify the right time to evacuate civilians in disaster-prone areas.

8. Proactive /prəʊˈæktɪv/ (adj): Acting in anticipation of future problems.

   • Example: Governments have adopted AI for proactive disaster management.

9. Analytics /ænəˈlɪtɪks/ (n): Systematic computational analysis of data.

   • Example: AI uses predictive analytics to manage floods and hurricanes more accurately.

10. Real-time /ˌrɪəl ˈtaɪm/ (adj): Instantaneous processing without delay.

    • Example: Real-time data collection is crucial for AI-based disaster response.

Conclusion

The Summarize Written Text section is an essential skill to practice in PTE, as efficient summarization reflects strong comprehension of complex texts. By mastering the use of AI in natural disaster management and practicing on everyone’s favorite topic of technologic advancement, you can prepare yourself for both real-world applications and potential PTE exam content.

Don’t forget to practice, refine, and experiment on your own responses. If you have any questions or feedback, feel free to leave a comment!