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Module X – Basic

Unit 1 – Conversations at School

X-1.Listening Evaluation

Unit 2 – Describing my Family

X-2. Writing Evaluation

Unit 3 – My Favorite Hobby

X-3. Reading Evaluation

Unit 4 – Describing Myself

X-4. Speaking Evaluation

Unit 5 – My Daily Routine

X-5. Listening Evaluation

Unit 6 – My Likes and Dislikes

X-6.Writing Evaluation

Mid-Test Basic Module

Unit 7 – School Survey

X-7. Reading Evaluation

Unit 8 – My School Day

X-8. Speaking Evaluation

Unit 9 – A Trip to the Canteen

X-9. Listening Evaluation

Unit 10 – Describing My Bedroom

X-10. Writing Evaluation

Unit 11 – Places in My City

X-11. Reading Evaluation

Unit 12 – My Favorite Animal

X-12. Speaking Evaluation

Unit 13 – Planning a Weekend

X-13. Listening Evaluation

Unit 14 – Why I Like My Best Friend

X-14. Writing Evaluation

Unit 15 – A Postcard from a Holiday

X-15. Reading Evaluation

Unit 16 – My Favorite Subject

X-16. Speaking Evaluation

Final Test Basic

SEMESTER 2

Unit 17: Transportation Around Us

X-17. Listening Evaluation

Unit 18: Holidays & Travel

X-18. Writing Evaluation

Unit 19: World Landmarks

X-19. Reading Evaluation

Unit 20 – Different Countries, Different Cultures

X-20. Speaking Evaluation

Unit 21: The Internet & Social Media

X-21. Listening Evaluation

Unit 22: Digital Etiquette

X-22. Writing Evaluation

Unit 23: Great Inventions

X-23. Reading Evaluation

Unit 24: My Favorite Apps

X-24. Speaking Evaluation

Unit 25: Cinema & Streaming Apps

X-25. Listening Evaluation

Unit 26: Music in My Life

X-26. Writing Evaluation

Unit 27: In the Doctor’s Office

X-27. Reading Evaluation

Unit 28: Making a Difference

X-28. Speaking Evaluation

Unit 29: Future Plans & Dreams

X-29. Listening Evaluation

Unit 30: Profession & Jobs

X-30. Writing Evaluation

Unit 31: Learning New Skills

X-31. Reading Evaluation

Unit 32: My Life in 10 Years

X-32. Speaking Evaluation

Final Test Basic

Previous Lesson

X-23. Reading Evaluation

Module X – Basic
Unit 23: Great Inventions
X-23. Reading Evaluation

Now, it’s time for a test. Read the text below about a new invention. Then, answer the questions.

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Question 1 of 20

1. Question

Passage
(Question 1-10)

A Large Language Model (LLM) is a powerful type of Artificial Intelligence. It is ‘trained’ on massive amounts of text data—billions of sentences from books, articles, and websites. By analyzing this data, the LLM learns the patterns, grammar, and facts of human language. This training allows it to understand new questions and generate text that sounds natural, almost like a human wrote it.

LLMs are now used in many different tools. They can write emails, answer difficult questions, and summarize long articles. They can also be creative, helping people write poems, stories, or even computer code. Translation is another powerful use. An LLM can instantly translate a sentence from one language to another because it has learned the patterns of both.

Despite their amazing abilities, LLMs have limitations. They do not truly “understand” the world; they just predict the next best word based on their training. Because this data comes from the internet, LLMs can sometimes be wrong or show “bias” (unfair opinions). They can make mistakes, so it is important for users to always check the information that an LLM provides.

1. What is the main idea of Paragraph 1?

LLMs are trained on books and articles.

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LLMs are a type of AI that are trained on text data to understand language.

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LLMs can write text that sounds natural.

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LLMs use billions of sentences.

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Question 2 of 20

2. Question

2. In Paragraph 1, what does the first “It” refer to?

Artificial Intelligence
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A Large Language Model
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A book or article
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The internet
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Question 3 of 20

3. Question

3. According to Paragraph 2, which of these is NOT listed as a use for LLMs?

Writing poems
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Summarizing articles
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Creating new music
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Translating languages
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Question 4 of 20

4. Question

4. What is the main idea of Paragraph 2?

LLMs are very creative and can write poems.
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LLMs are useful for many different tasks, like writing and translation.
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LLMs can write computer code.
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LLMs can answer difficult questions.
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Question 5 of 20

5. Question

5. What is the main idea of Paragraph 3?

LLMs have problems, like being wrong or showing bias.
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LLMs predict the next best word.
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LLMs get their data from the internet.
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Users should not check an LLM's information.
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Question 6 of 20

6. Question

6. In Paragraph 2, what does “They” refer to?

poems and stories
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computer code
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many different tools
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Large Language Models
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Question 7 of 20

7. Question

7. In Paragraph 3, what does the word “bias” mean?

Unfair opinions
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The next best word
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Amazing abilities
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A type of mistake
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Question 8 of 20

8. Question

8. According to the passage, why should users check the information from an LLM?

Because the LLM is creative.
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Because the LLM is very powerful.
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Because the LLM can make mistakes or be wrong.
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Because the LLM is just predicting words.
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Question 9 of 20

9. Question

9. In Paragraph 1, what does the word “generate” mean?

To read
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To create
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To find
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To change
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Question 10 of 20

10. Question

10. What is the overall purpose of this passage?

To warn people not to use LLMs.
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To explain what LLMs are, what they do, and their limitations.
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To explain how to write a poem using an LLM.
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To compare LLMs with human writers.
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Question 11 of 20

11. Question

Passage 2
(Question 11-20)

Generative AI is a branch of Artificial Intelligence that can create completely new content. While a normal AI might identify a cat in a photo, a Generative AI can create a new picture of a cat that does not exist. This technology can produce images, music, and text. Large Language Models (LLMs) are one of the most popular types of Generative AI.

This technology is rapidly changing many industries. For artists and designers, Generative AI can help create amazing images in seconds. For programmers, it can write code, making their jobs faster. It is not just replacing people; it is acting as a “co-pilot” or a new tool that helps professionals be more creative and productive.

The power of Generative AI also raises new ethical questions. For example, the technology can create “deepfakes,” which are realistic but fake images or videos of people. It also creates a problem with copyright. If an AI creates a beautiful painting, who is the author? Is it the AI, or the person who wrote the prompt? These are difficult questions society must now answer.

11. What is the main idea of Paragraph 1?

Generative AI is a type of AI that creates new content, like images or music.
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A normal AI can identify a cat in a photo.
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LLMs are a type of Generative AI.
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Generative AI can create a picture of a cat.
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Question 12 of 20

12. Question

12. What is the main difference between a normal AI and a Generative AI?

Normal AI is faster than Generative AI.
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Generative AI can create new content, while normal AI just analyzes data.
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Normal AI creates images, and Generative AI creates text.
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Generative AI is more popular than normal AI.
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Question 13 of 20

13. Question

13. In Paragraph 1, what does “This technology” refer to?

Identifying cats in photos
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Large Language Models
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Creating new content (Generative AI)
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The computer
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Question 14 of 20

14. Question

14. What is the main idea of Paragraph 2?

Generative AI is replacing programmers.
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Generative AI is a "co-pilot".
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Generative AI is changing jobs by acting as a helpful tool.
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Generative AI helps artists make images in seconds.
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Question 15 of 20

15. Question

15. In Paragraph 2, what is a “co-pilot” in this context?

A tool that helps a professional do their job.
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A person who flies an airplane.
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A type of programmer.
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A type of artist.
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Question 16 of 20

16. Question

16. In Paragraph 2, what does “it” refer to?

The job
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Generative AI
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A programmer
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An artist
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Question 17 of 20

17. Question

17. What is the main idea of Paragraph 3?

"Deepfakes" are a big problem.
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Generative AI creates new problems and ethical questions.
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We need to answer questions about copyright.
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The AI is the author of the painting.
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Question 18 of 20

18. Question

18. According to Paragraph 3, what is a “deepfake”?

A real video of a person.
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A beautiful painting.
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A problem with copyright.
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A realistic but fake image or video.
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Question 19 of 20

19. Question

19. What is the “copyright” problem mentioned in Paragraph 3?

The AI creates beautiful paintings.
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The AI creates deepfakes.
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It is difficult to know who the author is (the AI or the person).
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The AI writes the prompt.
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Question 20 of 20

20. Question

20. What is the overall tone of this passage?

Critical and negative
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Excited and positive
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Informative and balanced
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Confusing and technical
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