AI and Generative AI in Adult Education

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1.02 Fundamentals of machine learning (ML) Quiz

1. Unsupervised learning requires data to be carefully labelled with the correct answers before the system can learn from it.
1
- a) True
- b) False
2. Why is machine learning considered important in adult education?
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- a) It is advanced enough to completely replace all human teachers and tutors.
- b) It can help personalise learning resources, identify learners who might need extra support, and make learning platforms more adaptive.
- c) It generally makes the learning process more difficult and complicated for adults.
- d) It removes all choices and autonomy from adult learners.
3. Which of the following is NOT an example of machine learning in everyday life?
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- a) A basic calculator adding two numbers together when you press the keys.
- b) An email application automatically filtering out unwanted spam messages.
- c) A smartphone keyboard predicting the next word you are likely to type.
- d) An online shopping website suggesting products you might like based on your past purchases and browsing history.
4. Machine learning models can improve their performance over time as they process more relevant data.
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- a) True
- b) False
5. What is supervised machine learning?
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- a) A system that operates without needing any data at all.
- b) A system that learns from data that has been clearly labelled with correct answers or categories to make future predictions.
- c) A type of robot that can build furniture by itself without instructions.
- d) A person teaching a class without using any computers or technology.

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AI and Generative AI in Adult Education

1.02 Fundamentals of machine learning (ML) Quiz

1. Unsupervised learning requires data to be carefully labelled with the correct answers before the system can learn from it.

2. Why is machine learning considered important in adult education?

3. Which of the following is NOT an example of machine learning in everyday life?

4. Machine learning models can improve their performance over time as they process more relevant data.

5. What is supervised machine learning?