# data[].attributes.body
LESSON 1
1 TABLET PC
2 DESKTOP COMPUTER
3 DESKTOP KEYBOARD
4 KEYBOARD
5GPS
6 SMARTPHONE
7 CELLPHONE
8FLASH DRIVER
9DIGITAL CAMERA
10HEADPHONES
11EARBUDS
12PROJECTOR
13 PRINTER
14WEBCAM
15SPEAKER
8 DIEM

LESSON 2
1 PRINTER - ITS ABSOLUTE LEMON /
2 SMART PHONE - ITS OBSOLET x
3 SPEAKER - ITS DEFECTIVE /
3/3---2/3
9 điểm

# data[].attributes.body
1. Tablet
2. laptop computer
3. desktop computer
4. keyboard
5. gps
6. smartphone
7. cellphone
8. flash drive
9. digital camera
10. headphones
11. earbuds
12. projector
13. printer
14, webcam
15. speaker

10/10 +1

--------------------------------------------------------------
Bài tập 2: Listening
1. printer | absolute lemon
2. smartphone | out of date
3. speaker | defective
Good jobs 👍👍👍10/10

# data[].attributes.body
Bài1
1. Tablet
2. laptop computer
3. desktop computer
4. keyboard
5. gps
6. smartphone
7. cellphone
8. flash driver
9. digital camera
10. headphones
11. earbuds
12. projector
13. printer
14, webcam
15. speaker
...................
Bài 2
1  My printer -obsoleta lemon -
2 My smartphone-out of date
3 My speaker - can't take

# data[].attributes.body
Bài 1 :
1: a tablet
2: laptop
3: desktop
4: Keyboard
5: GPS
6: smartphone
7: cell phone
8: flash drive
9: cammera digital
10 : hephone
11 : earbuds
12: projeater
14: webcam
15 speaker
------------------------------------------------
Bài 2:
1 printer - absolute lemon, cannot print the fast speed
2 smartphone - out of date cannot take a beauifull outer picture with my friend
3 speakers - making an funny sound
3/3-2/3
9₫

# data[].attributes.body
1tablet
2 a laptop computer
3 desktop computer
4jps
5 smart phone
6
8 cell phone
10 head phone
11 a webcam
12 headphones
3/10

1 my printer - absolute lemon
2 my smart phone- upgrade because out of date
3 my speaker- upgrade because defective

10/10 amazing gút chóp em

# data[].attributes.body
LESSON 1
1.Tablet
2.laptop computer
3.desktop computer
4.keyboard
5.GPS
6.smartphone
7 cellphone
8 flash drive
9 digital camera
10 headphones
11 earbuds
12 projector
13 printer
14 webcam
15 speaker

10 mừ điểm
+1
________________________________________________________________
LESSON 2
Listening
1. printer----- up to date X
2. smart phone---- out of date
3. speaker--- defective
9 DIEM

# data[].attributes.body
1:
1: tablet
2: computer
3:
4: GPS
5:
6: smatphone
7
8
9
10: camera
11 headphones
12 earbuds
12

15 webcam

------------------------------------

2:

1. printer - obsolete
2. smartphone - up to date
3. speaker - defective
9/10

# data[].attributes.body
1 A Tablet
2 A Laptop Computer
3 A Desktop Computer
4 A Keyboard
5 A GPS
6 a smartphone
7  cellphone
8 flash drive
9 digital camera
10 headphones
11 earbuds
12 a projector
13 a printer
14 a webcam
15 a speakers
10/10
-------------------------
1 My printer/ obsolete
2 My smartphone / not up to date
3 My speakers / defective
3
10/10

# data[].attributes.body
1. Tablet
2. laptop computer
3. desktop computer
4. keyboard
5. gps
6. smartphone
7. cellphone
8. flash driver
9. digital camera
10. headphones
11. earbuds
12. projector
13 printer
14 webcam
15 speakers
------
Listening
1 Printer - obsolute lemon - can't print with the fast speed
2 smartphone - out of date - can't not take a beautiful w my friend
3 speakers - defective - can't use the speaker with the high quality of sound

10/10

# data[].attributes.body
BT1
1. A TABLET
2. A DESKTOP COMPUTER
3. A
4. A
5. A GPS
6. A SMARTPHONE
7. A CELLPHONES
8. A
9.
10. A HEADPHONES
11. EARBUDS
12. PROJECTOR
13. PRINTER
14. A WEBCAM
15. SPEAKERS

...........................................................................................................
Listening
1. printer - obsolete: can't printer
2. smartphone - up-to-date: not beatiful
3. spkeakers - defective: can't use
9/10

# data[].attributes.body
Bài tập 1
1 tablet P.C
2 Laptop computer
3 destop computer
4 keyboard
5 GPs
6 smart phone
7 cellphone
8 flash drive
9
10 headphone
11 earbuds
12 projector
13 printer
14 webcam
15 speaker
9/10
----------------------------------------------------
1 printer _ obsolete
2 smart phone _ not up-to-date
3 speakers _ defective
10/10

# data[].attributes.body
1  Tablet PC
2 laptop
3 desktop computer
4 keyboard

5 gps
6 smartphone
7 cell phone
8  flash drive
9  digital camera
10 headphones
11 earbuds
12 projector
13 printer
14 webcam
15 speakers
--------------------------------------------------------
listen
1 printer- absolute lemon
2 smartphone- out of date
3 speakers- defective
10/10

# data[].attributes.body
+1
+1
Groupwork
In Dalat , we can enjoy local food, take a picture , go to see sunrise and sunset.

# data[].attributes.body
+3
+1
+1
In HCM city we can  take picture,
go shopping at the shopping center and
enjoy food at HO THI KY food street

# data[].attributes.body
+ 3
+1

In Da Lat, we can enjoy food, take pictures, go shopping , go visit and go to the coffee

# data[].attributes.body
+1
+1
In Nha Trang, we can walk along on the beach , go snorkeling, go swimming and explore,…

# data[].attributes.body
+ 3 điểm
-----
in korea we can Walk along, go shopping and enjoy food

# data[].attributes.body
+2
+1
+1
in ho chi minh city, we can take pictures,  walk along, ẹnoy foods and explore tunnels Cu chi

# data[].attributes.body
+1
-----------------------------------------------------
+1+1
In Ho Chi Minh city, we can take pictures, go shoping in center and ẹnjoy foods

# data[].attributes.body
-3
+1
+1
IN NHA TRANG City
Go snorkerling, Go scuba - diving, take picture

# data[].attributes.body
-3
+1
+1
+1
in korea, we can go Namsan cable car, enjoy traditional cuisine such as kIMCHI,teokbokki, go sightseeing, take a pictures in Jeju island and in the winter we can go skiing

# data[].attributes.body
+2
+1
In Nha Trang, we can take pictures, go swingming and enjoy food

# data[].attributes.body
In Korea we can enjoy street food, go explore, take photos, ride a boat and go surfing at busan beach

# data[].attributes.body
+2
+2
In Da Lat, we can take pictures, visit, go shopping, walk along,

# data[].attributes.body
-3

# data[].attributes.body
In Korea we can take pictures
go, enjoy food and go sightseeing

# data[].attributes.body
+1
Happy: relaxing, exciting, interesting, unusual, awesome, fantastic, scenic, terrific.
Not happy: terrible,boring, bad, awful, horrible
+1
1) was- were-  were- wasn't - was
2) was- was- were- Were- weren't
3) were- was-was-was-were- were
4) was-were- were-were-was

# data[].attributes.body
+1

# data[].attributes.body
Happy: relaxing, exciting, interesting, unusual, fantastic, awesome, scenic, terrific
Not happy: terrible, boring, bad,awful, horrible
1 was/ were/ were/ wasn't/ was
2 were/ was/were/
3 were/ was/was/was/were/were
4 was/ were/ were/ was
It was wonderful
It was scary and bumpy
It was
He
It very

# data[].attributes.body
+1
Happy: Relaxing, exciting, interesting, awesome, fantasic, scenic
Not happy: Terrible, unusual, boring, bad, awful, horrible

1. was, were, were, wasn't, was
2. was, was, were, were,weren't
3. were, was, was, was, were, ware
4. was, ware, ware, ware, was

What did he do?
- It was bad and bumpy + scary
- The weather was terrible
- I actually never saw the sun
- He stay at hotel
- Food it was too salty
- Waiters they were unfriendly
- Problem someone stole wallet
- Flight home cancelled
- He stay 2 more day
- He meet a woman

# data[].attributes.body
+1
Happy
- relaxing
- exciting
- interesting
- unusual
- awesome
- fantastic
- scenic
- terrific
Unhappy
- horrible
- terrible
- boring
-awful
- bad

Bai 2
1 Was
Were
Were
Wasn't
Was
2 Was
Was
Were
Were
Weren't
3
Were
Was
Were
Was
Were
Were
4
was
Were
Were
Were
Was

# data[].attributes.body
+1
Happy: relaxing,exciting, interesting, awesome, scenic, unusual , terrific
Not happy: terrible, boring, bad, awful, horrible
1
1 was
Were
Were
Wasn’t
Was

2 was
Was
Were
Were
Weren’t

3 were
Was
Was
Was
Were
Were

4 was
Were
Were
Were
Was

# data[].attributes.body
++ +
Happy : scenic ,  realxing, unusual , awesome ,

Not happy : boring , bad , awful , terrific , terrible
3. were
was
was
was
were
were
4. was
were
were
were  / was
Listen
It was wonderful
Flight : It was bumpy and scary
Weather : It was terribla
He stays at hotel
Food : It was too salthy
Waiters : They were unfriendly
Problem : Some one st;p

# data[].attributes.body
+1

Was
Were
Were
Was not/ was

Was
Was/ were
Were
Were not

Were
Was
Was
Was
Were
Were

Was
Were
Were
Were/ was

# data[].attributes.body
+1
-----------
happy: relaxing, exciting, fantastic, unusual, awesome, scenic,terrific
unhappy: terrible, boring, bad, awful, horrible
------------
1 was were Were Wasn`t was
2 was was  were Were  weren`t
3 were was was   was  were were
4 was  were were was
------------
what did you do
- flight: scary,bad, bumpy. flight home cancelled=> he stayed 2 more days
he meet a woman
- weather : terrible,
- stayed at hotel
-food it was too salty
- waiter  unfrienly
-prolem someone stole wallet
-> how was the vacation? it was wonderful

# data[].attributes.body
+1
happy: relaxing, exciting,unusual, interesting, awesome, fantastic, scenic,
unhappy : terrible,  boring, bad,awful,terrific,horrible
1. was
were
were
wasn't, was
2. was
was
were
were
weren't
3. were
was
was
was
were
were
4. was
were
were
were. was

# data[].attributes.body
+1
+1
-2
happy: relaxing, exciting, interesting, fantastic, awful, awesome, unusual, scenic, terific
un happy : terrible,  boring, bad, horible
were, was, was, was, were, were, was, were, were, were, was

# data[].attributes.body
+1
Happy : interesting , relaxing ,fantastic ,awful , exciting, scenic, awsome
Not happy : unusual , boring  , bad , horrible
was
wêre
were
wasnt was
was
was
was
was
were

was
were
was
was
were
were

were
was
were
were
-2

# data[].attributes.body
+2
------------
-happy :
Relaxing
unsual
awesome
fantastic
scenic
excititing
interesting
-Not happy :
terrible
boring
bad
terrific ( happy )
horible
awful
------------
1.was
were
were
wasn't , was
2.was
was
were
ware
weren't
3.were
was
was
was
were
were
4.was
were
were
were, was
-------
it was wonderful .
filght i was bas, bumpy and scary
weather : terrible
he: stayed at hotel
food : too salty
they waere unfriendy
problem someone stole wallet
flight home cancelled
he stay two more days
he meet a woman

# data[].attributes.body
+1
1 Young people often wear tightter clothes to show their body shape
2 Old people want to wear more comfortable shoes
3 Woman in a dress look more fashionable
4 At chiristmas, people preter warmer clothes
5 A suit makes you look more professsional
6 Some people wear more clolorful clothes to show their style
-------------------------------
1 draker
2 more pratical
3 cooler
4 more convenient than
5 more conservative
6 more formal
7 hotter
8 lightter
9 more comfortable than
10 heavier

# data[].attributes.body
1 . Young people often wear tighter clothes to show their body shape
2. Old people want to wear more comfortable shoes
3. Women in a dress look more fashionable
4. At Christmas, people prefer warmer clothes
5. A suit makes you look more professional
6. Some people wear more clolorful clothes to show their style

1. Darker
2. More practical
3 Cooler
4 more convenient than
5 more conservative
6 more formal
7 hotter
8 lighter
9 More confortable than heavier

# data[].attributes.body
2 ole people want to wear more comfortable shoes.
3 women look more fashionable in a dress
4 at Christmas people prefer warmer clothes
5 a suit makes you look more professional
6 some people wear more colorful clothes to show their style
1 Young people often wear tighter clothes to show their body shape

1 darker
2 more practical
3 cooler
4 more convenient than
5 more conservative
6 more formal
7 hotter
8 lighter
9 more comfortable
10 heavier

# data[].attributes.body
1 young people often wear tighter clother show their body shape .
2 old people want to wear more comfortable shoes
3 women look more fashionable in a dress
4 At christmas , people prefer warmer clother
5 A suit makes you look more professional
6 some people to wear more coloful clothes show their style.
..............
1 darker
2 more practical
3 cooler
4 more convenient
5 more conservative
6 more formal
7 hoter
8 lighter
9 more covenient
10 heavier

# data[].attributes.body
1 yuong prople oftren wear tighter clothes to show their body shape
2 old people want to wear more comfortable shoes
3 women look more fashionable in a dress
4 at Christmas people prefer warmmer clothes
5 a suit makes you look more professional
6 some people wear more colorful clothes to show their style

1 darker
2  more practical
3 cooler
4 more convenient than
5 more conservative
6 more farmal
7 hotter
8 lighter
9 more comfortable
10 heavier

# data[].attributes.body
+2
1. Young people often wear tighter clothes to show their body shape.
2. Old people want to wear more comfortable shoes.
3. Women in a dress look more fashionable.
4. At christmas people prefer warmer clothes
5. A suit makes you look more professional
6. Some people wear more cloorful clothes to show their style
---------
1. darker
2. more practical
3. coler
4.  convenient than
5. more conservative
6. more formal
7. hotter
8. lighter
9. more comfortable
10. heavier

# data[].attributes.body
-1
+1
+1
Young people often wear tighter clothes to their body shape
Old people want to wear more comfortable shoes
Women look more fashionable in a dress
At christmas, people prefer warmer clothes
A suit makes you look more professional
Some people wear more colorful clothes to show their style
Darker-more pratical-cooler-more convenient than-more conservative-more formal-hotter-lighter-more comfortable than-heavier

# data[].attributes.body
------------
1.young people often wear tigher clothers to show their body shape
2. Old peolpe wan to ware more comfortable shoes
3. Women look more fashioneble in a dresss.
4. At chrritmas , people prefer warm er clothes
5. A suit makes you look more professional
6. Some people wear coloful clothes to show their style
--------------
1. darker
2. more practical
3. cooler
4.more convenient
5.more conservative
6. more fomal
7.hotter
8.lighter
9.more comfortable
10. heavier

# data[].attributes.body
1. Young people often wear tighter clothes to show their body shape
2. Old people want to wear more comfortable shoes
3. Woman in a dress look  more fashionable
4. At Christmas, people prefer warmer clothes.
5. A suit makes you look more professional
6. Some people wear more colorful clothes to show their

1 darker
2 more practical
3 cooler
4 more convenient than
5 more conservative
6 more formal
7 hotter
8 lighter
9 more comfortable
10 heavier

# data[].attributes.body
1. young people often wear tighter clothes to show their body shape
2. old people want to wear more comfortable shoes.
3. women look more fashionable in a dress
4/ at christmas, people prefer warmer clothes
5. a suit makes you look more professional
6. Some people wear more colorful clothes to show their style

1. Darker
2 more practical
3. cooler
4. more convenient than
5. more conservative
6. more formal
7. hotter
8. lighter
9. more comfortable  than
10. heavier

# data[].attributes.body
+1
Young people often wear tighter clothes to show their body shape.
Old people want to wear more comfortable shoes.
Women look more fashionable in a dress
At Christmas people prefer warmer clothes
A suit makes you look more professional
Some people wear more colorful clothes to show their style

darker- more practical - cooler - more convenient than - more conservative- more formal - hotter - lighter - more comfortable than heavier

# data[].attributes.body
+1
1. Young people often wear tighter clothes to show their body shape.
2. Old people want to wear more comfortable shoes
3. Women look more fashionable in a dress.
4. At Christmas people prefer warmer clothes.
5. A suit makes you look more professional.
6. Some people wear more colorful clothes to show their style.

1. Darker
2. More practical
3. Cooler
4. More convenient than
5. More conservation
6. More fomal
7. Hotter
8. Lighter