Learn how to answer the IELTS Speaking Part 2 cue card topic: Describe something that you want to learn more about or improve. Get structured responses, sample answers, and follow-up questions to enhance your IELTS Speaking skills.
If you’re preparing for the IELTS Speaking test, you probably already know it’s divided into three parts and lasts about 15 minutes. Part 2 is where you’ll get a cue card with a topic—something like “Describe something that you want to learn more about or improve.” You’ll have a minute to prepare and then need to talk for up to two minutes. Sounds nerve-wracking? Don’t worry! The key is to stay relaxed and talk naturally. Let’s go over a few sample answers to help you out.
IELTS Speaking Part 2: Cue Card
Below is a cue card prompt to help you structure your response.
You should say:
· What it is
· How you would learn it
· Where you can learn it
· and explain why you want to keep learning it.
What it is
I am particularly keen on learning more about AI (Artificial Intelligence) technology and computer programming languages. AI is revolutionizing industries from healthcare to finance and entertainment, and its growing influence makes it an exciting field to explore. Computer languages, such as Python, JavaScript, and others, are essential tools for creating AI systems, and mastering these languages would provide the technical foundation needed to work in AI.
How you would learn it
To learn about AI technology, I would start by exploring online platforms like Coursera, edX, or Udacity, which offer courses designed by top universities and professionals in the field. These courses usually cover a range of topics, from machine learning to neural networks, and offer hands-on projects that help build real-world skills. For programming languages, I would follow structured tutorials, practice coding exercises on platforms like Codecademy or freeCodeCamp, and build small projects to improve my skills over time.
Where you can learn it
I can learn AI technology through various platforms and resources. Online courses from platforms like Coursera, edX, and Udacity are some of the best places to start. Additionally, I could join coding boot camps or workshops dedicated to AI and programming. Local community groups, tech meetups, and hackathons would also provide opportunities to engage with like-minded individuals and learn through practical experiences. There are also numerous YouTube channels and blogs where experts regularly share tutorials and insights into AI and programming languages.
Why you want to keep learning it
The desire to learn AI and computer languages stems from the immense potential these fields have to shape the future. AI is already transforming how we approach problem-solving, automation, and decision-making, and I want to be a part of that change. By learning these skills, I would be able to contribute to creating smarter solutions, especially in areas like data analysis, automation, and innovation. Additionally, mastering AI and computer programming opens up countless career opportunities, allowing me to work on cutting-edge technology and play a role in solving global challenges. The thrill of continual learning and the ability to stay at the forefront of technological advancements also motivates me to keep expanding my knowledge in this area.
Why do you think artificial intelligence is becoming so important?
Artificial Intelligence is becoming increasingly important because it has the potential to transform nearly every aspect of our lives. In industries such as healthcare, finance, transportation, and education, AI enables more efficient decision-making, automates repetitive tasks, and improves accuracy. Additionally, with the rise of big data, AI helps analyze vast amounts of information quickly, providing insights that humans may overlook. The advancement of AI is also critical for future innovations, such as autonomous vehicles, personalized healthcare, and even sustainable solutions for climate change, making it a central force in shaping the future.
How do you think AI will impact job opportunities in the future?
AI is likely to have a dual impact on job opportunities. On one hand, automation powered by AI will replace certain repetitive, manual tasks, potentially reducing job opportunities in sectors such as manufacturing and basic customer service. However, on the other hand, it will create entirely new job categories, particularly in fields like AI development, machine learning, data science, and cybersecurity. Additionally, AI will enhance existing jobs by allowing workers to focus on more complex and creative tasks while leaving mundane tasks to machines. The key challenge will be upskilling the workforce to ensure that people can adapt to new roles that require AI-related skills.
Do you think everyone should learn programming languages like Python?
I believe learning programming languages like Python can be highly beneficial, but it might not be essential for everyone. In today’s digital world, having basic coding skills can provide a competitive advantage in many fields, even outside of technology. Python, for example, is user-friendly and used across various industries, from web development to data science. It can also help develop problem-solving skills and logical thinking. However, it’s not necessary for everyone to become an expert coder. People who work directly in technology or AI should certainly consider learning programming, but for others, having a fundamental understanding could be enough to stay relevant in the evolving job market.
What challenges do you think people face when learning programming languages?
One of the primary challenges people face when learning programming languages is the steep learning curve, particularly for beginners. Understanding syntax, logic, and problem-solving concepts can be daunting for those who have no prior experience. Debugging code can also be frustrating, as errors may not always be immediately obvious. Additionally, the fast-paced evolution of programming languages and technologies can be overwhelming, as it requires constant updating of skills. Time management is another factor, as mastering programming requires consistent practice, and people may struggle to find the time to dedicate to learning. However, with persistence and the right resources, these challenges are often surmountable.
How do you think AI technology can be used to improve the education system?
AI has tremendous potential to revolutionize education by personalizing learning experiences for students. Through AI-driven tools, lessons can be tailored to meet individual needs, learning speeds, and preferred methods of study. For example, intelligent tutoring systems can provide instant feedback to students, helping them grasp complex concepts more efficiently. AI can also help teachers by automating administrative tasks, like grading or managing schedules, freeing up more time for direct student interaction. Additionally, AI can be used to monitor student progress and identify learning gaps, enabling more proactive interventions. The integration of AI in education promises more efficient, accessible, and inclusive learning environments.
Can AI ever replace human creativity?
While AI can generate impressive content—whether it's art, music, or written text—it still lacks the inherent creativity that humans possess. AI works based on patterns and data, learning from past examples to produce outputs that mimic existing styles or concepts. However, it does not possess emotions, intuition, or consciousness, which are key elements of human creativity. Human creativity is not just about producing something novel but also about infusing it with personal experience, cultural context, and meaning, which AI cannot replicate. Thus, AI is a tool that can assist in the creative process, but it is unlikely to fully replace the depth and authenticity of human creativity.
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