# data[].attributes.body
Exist

Were adapted

Were distributed

Were cut

Not see

Change

Were

Satisfy

Matter

Familiarise

# data[].attributes.body
exist

be adapted

were distributed

were cut

not see

change

were

satisfy

matter

familiarise

# data[].attributes.body
4A

1. exist?

2. adapt?

3. were distributed?

4. cut????

5. not see?

6. change?

7. were?

8. satisfy?

9. matter?

10. familiarise?

?????

# data[].attributes.body
Exist

Familiar

We’re adapted

Distribute

Changed

Be

Seen

Matter

Satisfy

# data[].attributes.body
cubby hole

gruesome ending

freeze-frame

# data[].attributes.body
Death of the hero

The final image

Freeze-frame

Cinematic cliche

Dark and gruesome ending

# data[].attributes.body
inevitable

cubby hole

plummet

eternal grip

gruesome

# data[].attributes.body
1. quintessential

2. deliberation

3. treatment

4. halfway through

5. merchandising

6. on a high

7. downbeat ending

8. uplifting finale

9. obsessed with

10. evidently

# data[].attributes.body
Downbeat ending

Uplifting finale

Quintessential

Inevitable

Deliberation

# data[].attributes.body
downbeat

quintessential

deliberation

merchandising

sequel

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

1. go
2. carry off
3. get
4. come
5. carry on
6. put up
7. dress up
8. turn out
9. lay off
10. make out

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

2.
1) go
2) put
3) get
4)came
5) carry
6) makes
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. A rough

9. Strongly

10. Under

1. go
2.
Put
3.Get
4.Come
5.Carry
6.Makes
7.Dress
8.Turned
9.Laid
10.Carry

# data[].attributes.body
task 1

1. sought

2. complete

3. quick

4. couple

5. distant

6. career

7. hurt

8. rough

9. strongly

10. under

task 2

1. go

2. put

3. get

4. came

5. carry

6. makes

7. dressing

8. turned

9. laid

10. carry

# data[].attributes.body
Task 1
1.sought
2. Complete
3. Quick
4. Couple
5. Distant
6. Career
7. Hurt
8. Rough
9. Strongly
10. Under

Task 2.
1. Go
2. Put
3. Get
4. Came
5. Carry
6. Makes
7. Dressing
8. Turn
9. Laid
10. Carry

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

# data[].attributes.body
1 their, they
2 herself
3 one/someone
4 it
5 themselves
6 yourself
7 it, you

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

2. herself

3. they

4. each other

5. themselves

6. yourselves

7. one, they

# data[].attributes.body
b. 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
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
My avatar is a black cat that symbolizes my tendency to procrastinate and lack of luck

# data[].attributes.body
1. was sitting, had cried
2. used to have
3. used to live, bought
4. did not use to look
5. was always getting into, used to punish
6. crashed, poured

# data[].attributes.body
1. Was sitting, had been crying

2. would always

3. used to live, bought

4. didn’t use to look

5. was always getting, would punish

6. had crashed, was pouring onto the road

# data[].attributes.body
Ariana
1. was sitting/ had been crying
2. used to have
3. used to live/bought
4. wouldn’t look
5. used to/ would punish
6. had crushed/ was pouring

# data[].attributes.body
1) sat, had been crying
2) used to have
3) used to live, bought
4) wouldn’t look
5) used to get, 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
1. was sitting, had been crying

2. would always have

3. used to live, bought

4. didn’t use to look

5. always used to get, would punish

6. had crashed, was pouring

# data[].attributes.body
1. Was sitting, had been crying
2. Always used to have
3. Used to live, bought
4. Didn't use to look
5. Always used to get, would punish/used to
6. Had crashed, was pouring

# 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
so basically i couldn't generate a proper template because of my location and my vpn seems to have been blocked so here are some thoughts on my current CV
1. update it (so that there's more relevant info about my skills, education and current employment)
2. i ran out of time to continue this, sorry :(((

# data[].attributes.body
1. To confirm social-skills with my experience
2. Add more attitude

# data[].attributes.body
1. more info about my experience

2. more information about my attitude and why I wanna work at EY company

# data[].attributes.body
1) I didn’t inject vocabulary from lust lesson
2) didn’t use constructions that I often use
3) didn’t inject my personality

# data[].attributes.body
I could've used more vocabulary from our previous lesson. I also could've inserted some phrases I normally use in my speech but I'm not sure how to implement them correctly so they don't sound strange.

# data[].attributes.body
Ariana
1. Search for other more interesting templates
2. Be more specific mentioning my previous experience
3. Replace more vocabulary

# data[].attributes.body
Mentioning specific previous projects and talking more about my role in them

# data[].attributes.body
Game designer
Travel blogger
Train attendant
Art museum guide
Writer

# data[].attributes.body
Sommelier
Gunslinger
Writer
Confectioner
Taxi driver

# data[].attributes.body
Elya
1. Assistant at animal shelter
2. Florist
3. Baker
4. Museum curator
5. Pottery

# data[].attributes.body
Editing texts - I believe I have enough skills to do such job
Interpreter - it might help me to boost both my English and Russian skills
Barista - doesn't seem too hard for me
Artist - I love painting and I would like to sell my works
Lab assistant - it is a great opportunityto practice and it can help me with my lab works at the university

# data[].attributes.body
5 jobs that I want to try:
1. programmer
2. game designer
3. 3d artist
4. writer
5. video blogger :D

# data[].attributes.body
surgeon’s assistant
barista

laboratory assistant

pizza-maker

make-up artist

# data[].attributes.body
1. To get a flavour of smth
2. work shadowing
3 manage to get
4. High-end
5. Long-term

# data[].attributes.body
rafting cover letters
doing job in a long term
get a scense
get a flavour
challenge assumptions
Ariana

# data[].attributes.body
doing work shadowing
get a sense of sth
get a flavour of sth
lead my own work
challenge my assumptions

# data[].attributes.body
Manage to get
Long-term job
To get a flavor of something
Work shadowing
To get on quite well with
Meant to be enough

# data[].attributes.body
1. manage to get
2. break down presumptions
3. long-term job
4. doing work shadowing
5. to get a sense (?)
6. cold-calling

# data[].attributes.attachment_link.provider_name
Wordwall - Create better lessons quicker

# data[].attributes.attachment_link.description
a heart of gold, down to earth, a cold fish, a real pain in the neck, a soft touch, a very quick temper, full of herself/himself, wouldn't hurt a fly.

# data[].attributes.body
1.Haven't got, don't have, register difference(?)
2. Ive made is correct
3. Meaning Difference
4. Only second one is correct

# data[].attributes.body
1) we believe that all of the options are possible, but the first and the third are less common and more formal
2) only the second one is possible, the first would be possible with additional words
3) the first one is less common, but both of them are possible
4) both are possible, but they have different meanings: the first one is about someone else doing the task for you and the second one is about the person talking doing that task

# data[].attributes.body
summary:

1.

- possible; auxiliary

- possible; main

- no.

2.

- possible; auxiliary

- possible; auxiliary

3.

- no.

- possible; main

4.

- no?

- possible; auxiliary

# data[].attributes.body
1) The third one is not correct
2) It depends on the tense(both are right)
3) “Do we have to” is right
4) It depends on who exactly has taken the pictures.

# data[].attributes.body
1. Haven’t got - incorrect
Don’t have - formal
Haven’t - informal
2. I’ve been making - seems incorrect
3. Have we got to - incorrect
4. Children should be in the different position in the first

# data[].attributes.body
https://forms.gle/6Exi7FyF61qn33qm9

# data[].attributes.body
1. pay attention to PE lessons
2. have a healthy schedule
3. don’t be afraid to ask for a help

# data[].attributes.body
Dana & Kamilia

# data[].attributes.body
Who of us…
1. lives in the Belka dorm ?
2. is ecotech student?
3. has degree at sport?
4. already works?
5. already works for free (for itmo)?
6. has been in the forest last night?
7. is running addicted?
8. likes to doing handmade jewelry?
9. gets the hidhtened itmo scholarship?
10. is actually government sponsored?

# data[].attributes.body
we're just celebrities 💅 that study physics, chemistry and programming. we're: Bob Ross, Ariana Grande and, of course, Christina Asmus.