# data[].attributes.body
1 should exist
2 be adapted
3 were distributed
4 be cut
5 not see
6 should change
7 were
8 satisfy
9 should matter
10 familiarise

# data[].attributes.body
1 are
2 is adapted
3 was distributed
4 are cut
5 see
6 would change
7 existence?
8 satisfy
9 matter
10 familiarises

# data[].attributes.body
1   exist or should exist
2   be adapted
3   were distributed
4   be cut
5   not see
6   should change
7   be
8   satisfy
9   should matter
10 familiarize

# data[].attributes.body
1. exist
2. adapted
3. distributed
4. cut
5. see
6. changed
7. were
8. satisfy
9. matter
10. familiarise

# data[].attributes.body
1. exist
2. adapt
3. were distributed
4. cut
5. not see
6. should change
7. were
8. satisfy
9. matter
10. familiarise

# data[].attributes.body
1 exist
2 adapt
3 distributes
4 matter
5 familiarised
6 changed
7
8
9 satisfy
10

# data[].attributes.body
1 exist
2 is changed
3 was distributed
4
5
6
7
8
9 satisfy
10

# data[].attributes.body
1) should exist
2) adapt
3) familiarise
4) cut
5) see
6) should change
7) be
8) satisfy
9) should matter
10) distribute

# data[].attributes.body
1) exist
2) be adapted
3) were distributed
4) be cut
5) not see
6) should change
7) were
8) satisfy
9) matter
10) familiarise

# data[].attributes.body
1. Reporting verbs (S+RV | that+S+bare inf)
2. adj. & nouns (like up?)
3. Strong feelings (S+should+bare inf)
4. Past subjunctive (use it after if only, if, supposing...)

# data[].attributes.body
Downbeat
Uplifting finale
Drug overdose
Merchandising
Freeze-frame
Cinematic clishe
Range of endings
Make to the screen
Immortalise

# data[].attributes.body
freeze-frame
plummeting horribly
immortalise
cinematic cliche

# data[].attributes.body
downbeat ending
quintessential story
merchandising
freeze-frame

# data[].attributes.body
haandle the scene
heroine
eternal grip
avoiding spoilers
handful of combinations to consider
desolate of options
message of hope

# data[].attributes.body
Inevitable
Contemplate
Desolate

# data[].attributes.body
gruesome
to be slipped in
immortality
inevitable
plummet

# data[].attributes.body
downbeat ending
quintessential Cinderella story
deliberation - the process of carefully considering or discussing something

# data[].attributes.body
a-lister
heist movie
universal appeal

# data[].attributes.body
A-lister - star in entertaining industry
chick flick - cheap love movie
female protagonist - what
formulaic plotline - predictable plot
spaghetti western
universal appeal - world wide popular appeal

# data[].attributes.body
1. E S
2. S E
3. S E
4. E S
5. E S
6. S E
7. S E
8. E S

# data[].attributes.body
1 E, S
2 S, E
3 S, E
4 E, S
5 E, S
6 S, E
7 S, E
8 E, S

# data[].attributes.body
1. a) e
b) s
3. a) s
b) e
4. a) e
b) s
5. a) e
b) s
6. a) s
b) e
7. a) s
b) e
8. a) e
b) s

# data[].attributes.body
1. A - honest
B - sarcasm
2. A - sarcasm
B - honest
3. A - sarcasm
B - honest
4. A - honest
B - sarcasm
5. A - honest
B - sarcasm
6. A - sarcasm
B - honest??
7. A - sarcasm
B - honest
8. A - honest
B - sarcasm

# data[].attributes.body
1. a)e b)s
2. a)s b)e
3. a)e b)s
4. a)e b)s
5. a)e b)s
6. a)s b)e
7. a)s b)e
8. a)e b)s

# data[].attributes.body
1. a - E, b - S
2. a - S, b - E
3. a - S, b - E
4. a - E, b - S
5. a - E, b - S
6. a - S, b - E
7. a - S, b - E
8. a - E, b - S

# data[].attributes.body
1 E S
2 S e
3 S E
4 E S
5 E S
6 S E
7 S E
8 E S

# data[].attributes.body
1 SS
2 SE
3 SE
4 ES
5 SS
6 SE
7 SE
8 ES

# data[].attributes.body
1. Communication
2. Respect
3. Empathy and understanding

# data[].attributes.body
Iliya: Trust and truth
Lisa: Speak about misunderstanding
GPT: Shared values and goals

# data[].attributes.body
Respect each other - egor
Compatibility - me
trust - chatgpt

# data[].attributes.body
Discussion of problems
Same lifestyle
Same life goals

# data[].attributes.body
AI:
communication, like all people have a need of communication to stay alive
Ours:
Sharing interests
Similar mindsets

# data[].attributes.body
Common interests
Need of communication
Compromises

# data[].attributes.body
seek refuge
a rough itinerary
strongly opposed
put off
lay off
carry out
ill-fated
perk
resign
nose to the grindstone

# data[].attributes.body
1 sought
2 complete
3 quick
4 couple
5 distant
6 career
7 hurt
8 a rough
9 strongly
10 under

1 go
2 put
3 get
4 come
5 carry
6 make
7 dress
8 turned
9 layed
10 carry

# data[].attributes.body
1.
1 sought
2 complete
3 quick
4 couple
5 distant
6 career
7 hurt
8 a rough
9 highly
10 under
2.
1 go
2 put
3 get
4 come
5 carry
6 makes
7 dress up
8 turned
9 lay
10 carry

# data[].attributes.body
1.
1 sought
2 complete
3 quick
4 couple
5 distatant
6 career
7 hurt
8 a rough
9 strongly
10 under
2.
1 go
2 put
3 get
4 came
5 carry
6 makes
7 dress
8 turned
9 layed
10 carry

# data[].attributes.body
Ex. 1
1. sought
2. complete
3. quick
4. couple
5. distant
6. career
7. hurt
8. a rough
9. strongly
10. under
Ex. 2
1. go
2. put ?
3. get
4. come
5. carry
6. makes
7. dressing
8. turned
9. layed
10. carry

# data[].attributes.body
Collocations
1. Sought
2. Complete
3. Quick
4. Couple
5. Distant
6. Career
7. Hurt
8. Approximate
9. Highly
10. Under
Verbs
1. Go
2. Put
3. Get
4. Came
5. Carry
6. Put
7. Dressing
8. Turned
9. Laid
10. Carry

# data[].attributes.body
1. looked for
2. complete
3. quick
4. couple
5. distant
6. career
7. hurt
8. rough
9. strongly
10. under

1 go
2 put
3 get
4 come
5 carry
6 make
7 dress
8 turn
9 lay
10 carry

# data[].attributes.body
1 looked for
2 complete
3 quick
4 couple
5 far
6 career
7 hurt
8 an approximate
9 strongly
10 under

1 go
2 put
3 get
4 come
5 carry
6 make
7 dress
8 lay
9 turn
10 carry

# data[].attributes.body
Ex. 1
1. sought
2. complete
3. quick
4. couple
5. distant
6. career
7. hurt
8. a rough
9. strongly
Ex. 2
1. go
2. put
3. get
4. came
5. carry
6. makes
7. dressing
8. turned
9. laid
10. carry
10. under

# data[].attributes.body
1)they
2)✓
3)✓
4) himself
5)their book
6)them
7)They

# data[].attributes.body
1. Their, they
2. Herself
3. They
4. It
5. It
6. Yourself
7. You, you

# data[].attributes.body
1. their, they

2. herself

3. they

4. each other

5. themselves

6. yourselves

7. You, you

# data[].attributes.body
1 their they
2 herself
3 they
4 each other
5 themselves
6 ourselves
7 you, you

# data[].attributes.body
1. their, they
2. herself
3. they
4. each other
5. themselves
6. yourselves
7. You, you

# data[].attributes.body
1. Their, they
2. Herself
3. They
4. Each other
5. Themselves
6. Yourselves
7. You, you

# data[].attributes.body
1. his, he
2. herself
3. they
4. each other
5. yourself
6. yourselves
7. You, you

# data[].attributes.body
1. Their, they
2. She, Herself
3. They
4. Each other
5. Themselves
6. Yourselves
7. You, you

# data[].attributes.body
1 their they
2 herself
3 they
4 themselves
5 yourself
6 theirselves
7 one they

# data[].attributes.body
1. Their they
2. Herself
3. They
4. One another
5. Themselves
6. Yourself
7. You you

# data[].attributes.body
1 their, they
2 herself
3 they
4 each other
5 themselves
6 yourselves
7 you, you

# data[].attributes.body
1) their, they
2) herself
3) they
4) each other
5) themselves
6) yourselves
7) you, you
⭐✨💫🌟

# data[].attributes.body
1. their, they
2. herself
3. they
4. each other
5. themselves
6. yourself
7. you, you

# data[].attributes.body
First mem:
Related to strong emotions like fear, happiness, pain.
They're very visual

Unreliable?
absolutely, family stories incorporated in your memory

# data[].attributes.body
~2-3y; bought He balloon, let go; was devastated, kept crying

~2-3y; moms house, fake reading little mermaid; was annoyed, told to read properly

~2.5y; Christmas time, broke new glass ball/bulb, mom shouted; didn't thing it was a bad thing to do, was resentful

# data[].attributes.body
https://drive.google.com/drive/folders/1eYDBsraHZVmDtywtr6zlyaoFJXCw7V1J?usp=sharing

# data[].attributes.body
1. was sitting / had cried
2. would
3. used to live / bought
4. wouldn't look
5. always getting / used to punish
6. crashed / was pouring

# data[].attributes.body
was sitting, had been crying
would always
used to, bought
didn’t use to look
was always getting, would
had crashed, was pouring

# data[].attributes.body
Was sitting, had been crying
Both
Used to live, bought
Use to look
Both, both
Crashed, was pouring

# data[].attributes.body
1. Was sitting, had been crying
2. ✓
3. Used to live, bought
4. Didn't used to look
5. Was always getting, ✓
6. Had crashed, was pouring

# data[].attributes.body
1. was sitting, had been crying
2. always used to have
3. both, bought
4. didn't use to look
5. always used to, both ??
6. both, was pouring

# data[].attributes.body
1. was sitting, had been crying
2. Used to have
3. used to live, bought
4. didn’t use to look
5. used to, both are correct
6. had crashed, was pouring

# data[].attributes.body
1 was sitting
2 /
3 used to live; bought
4 didn't use to look
5 /; /
6 had crashed; was pouring

# data[].attributes.body
1. was sitting, ✓
2. would always have
3. used to live, bought
4. didn't use to look
5. was always getting, would punish
6. had crashed, was pouring

# data[].attributes.body
ejxLrvBcZY

Copy this code and pass it to your students.

They have to go to STUDENTS' ACCESS, click on REGISTER AS A STUDENT and enter this code.

# data[].attributes.attachment_link.title
Liveworksheets.com - Interactive worksheets maker for all

# data[].attributes.attachment_link.description
Liveworksheets transforms your traditional printable worksheets into self-correcting interactive exercises that the students can do online and send to the

# data[].attributes.body
twee.com

# data[].attributes.body
What was the reason for Jimmy to meet Nicole Kidman?

2

How did Jimmy react when he was asked to prepare something for Nicole Kidman?

3

What did Jimmy buy for Nicole Kidman from the deli?

4

What was Nicole Kidman's reaction when she met Jimmy?

5

How did Jimmy behave when Nicole Kidman came to his apartment?

6

What did Jimmy and Nicole Kidman do during their meeting?

7

How did Jimmy feel after Nicole Kidman left his apartment?

8

Why did Jimmy think that he and Nicole Kidman were not meant to be?

9

What is Jimmy's current relationship with Rick?

10

Where did Keith Urban perform on New Year's Eve?

# data[].attributes.body
Have you ever had an awkward encounter with someone famous?

2

Do you think it's important to prepare for unexpected guests?

3

Do you believe in chemistry between people when they first meet?

4

How do you handle nervousness in social situations?

5

Have you ever made a decision that you later regretted?

# data[].attributes.body
1/ Use words that you can use in your speech.
2/ Correct the srtaightforwart sentences that repeated the vacancy up to the letter.
3/ Throw out extra information.
4/ Make cl less than 400 words.

# data[].attributes.body
Thought up about our experiences and skills
More facts about our personality, more facts about our studying and previous experiences

Changes we else can made:
Write about what things makes you different from another people
Talk more about soft skills
Read the task correctly

# data[].attributes.body
Don't make it long
Don't focus on hard skills

# data[].attributes.body
1. Putting more relevant information about previous experience
2. Delete the unnecessary adjectives
3. Shorten the whole thing

# data[].attributes.body
I should have used a plain basic cover letter template and add all of my experience/background/personality traits myself instead of asking AI to add them from my list, because that would sound more unique

# data[].attributes.body
1/ organiser of cruise voyage
2/ travel guide
3/ stable worker (take care of horses and train them)
4/ barista
5/ architect

# data[].attributes.body
Pilot
Seller
Bloger
Front-end
Scientist

# data[].attributes.body
1. Aerial teacher
2. Anatomist
3. Astronaut
4. Professional dancer
5. Geologist

# data[].attributes.body
Black hat hacker
Heavy machinery operator
Translator
Pirate!

# data[].attributes.body
Pilot
Scientist
Engineer
Math teacher

# data[].attributes.body
Cashier
Librarian
Policeman
Cooker
Tax inspector

# data[].attributes.body
actress (pipe dream)
designer/ stylist
vet doctor
make up artist
host of a podcast ( or just have a business)

# data[].attributes.body
Pirate
Astronaut
My Own Bussines
Rocket engineer
Space pirate

# data[].attributes.body
1. Librarian - peaceful and quiet but boring
2. Hacker - fun
3. Barman - interesting but dangerous
4. Translator - creative but annoying after some time
5. Pilot - fun and cool but probably also boring

# data[].attributes.body
Snowboarding instructor
Stuntman
Chemist
Librarian or owner of the book shop
Theatre actor

# data[].attributes.body
1. Businessman

2. Math teacher

3. Film director

4. Part of a music band

5. Engineer

# data[].attributes.body
Animator
Pastry chef
Pool engineer
Bookbinder
Auction seller

# data[].attributes.body
Snowboarding instructor
Stuntman
Chemist
Librarian or owner of the book shop
Theatre actor

# data[].attributes.body
Alpaca shearing
Grow flowers in some abbeys
Director of a vineyard
Project-manager in a creative sphere
Journalist

# data[].attributes.body
1. Dentist
2. Sport journalist
3. Flight attendant
4. Coach or teacher
5. Dancer in theatre

# data[].attributes.body
Salesman
Cat
Musician
Poet/Writer
Scientist

# data[].attributes.body
Long term
Cope coding
Manage to
Spot mistakes
Rule out

# data[].attributes.body
High-end
Long term
Work-shadowing
Get flavour

# data[].attributes.body
Color letters
Get a sense
Get a flovour of it
Challenged asumptions
Ruled out
Shadowing

# data[].attributes.body
Long term
Get a sense/flavour
Challenge assumptions
Shadowing
Sustainable living
Dyslexic

# data[].attributes.body
A bit too
Get a flavour of it
One of one's strength
Work shadowing
Manage to get
Ruled out