# data[].attributes.body
1.get
2.get
3.vote
4.retire
5.go
6.leave
7.go
8.have
9.go
10.get

# data[].attributes.body
3. Teenager

# data[].attributes.body
2.Child

# data[].attributes.body
Synthi 1/5 No.23
Youna adult

# data[].attributes.body
Synthi 1/5 No.23
Child

# data[].attributes.body
Young adult

# data[].attributes.body
3.teenager

# data[].attributes.body
2. Child

# data[].attributes.body
Child

# data[].attributes.body
1.baby

# data[].attributes.body
Synthi 1/5 No.23
1.baby

# data[].attributes.body
1.baby

# data[].attributes.body
3.teenagers

# data[].attributes.body
2.child

# data[].attributes.body
What are your top 3 courses ?
1.cooking
2.music
3.drawing

# data[].attributes.body
1.Baby

# data[].attributes.body
1.baby

# data[].attributes.body
1.baby

# data[].attributes.body
 Nam​ M1/5​ No.1

Baby

# data[].attributes.body
2.child

# data[].attributes.body
1.baby

# data[].attributes.body
3. teenager

# data[].attributes.body
Nickname Ken  M.1/5 No.7
1.baby

# data[].attributes.body
Ken M.1/5 No.7
2.child

# data[].attributes.body
Mona 1/5 No.19
1.baby

# data[].attributes.body
1.Baby
In 4-5 years.

# data[].attributes.body
1.Baby
I was me in 6 month

# data[].attributes.body
2.child

# data[].attributes.body
NAM.M1/5.​NO1
Child

# data[].attributes.body
Aungaing 1/5 No.21
2.Child

# data[].attributes.body
NAM.M1/5.No1
Teenager

# data[].attributes.body
3.Teenager

# data[].attributes.body
3.teenager

# data[].attributes.body
3.Teenager

# data[].attributes.body
5 young adult
How old is young adult?
20-30 years old

# data[].attributes.body
How old is the young adult?
25 years old

# data[].attributes.body
How old is the young adult?
Ans.25 years old
Ken M.1/5 No.7

# data[].attributes.body
How old is the young adult?
25yearold
Amarit​Maneesawat.M1/5.No1

# data[].attributes.body
What are your top 3 courses ?
1.science and math
2.cooking
3.sports
Ken M.1/5 No.7

# data[].attributes.body
4. university student
What are your top 3 courses ?
1.english
2.cooking
3.sports

# data[].attributes.body
Label the photos with the words in the box.
1
2.
3.
4.
5.

# data[].attributes.body
6. Life Stages  1-5

Label the photos with the words in the box.
1.Parent
2. child
3.baby
4.middle-aged person
5.pensioners

# data[].attributes.body
Label the photos with the words in the box.
1.parent
2.child
3.baby
4.middle-aged person
5.pensioners

# data[].attributes.body
6.life stages 1-5
1.Parent
2.child
3.baby
4.middle-aged person
5.pensioners

# data[].attributes.body
6.life stages 1-5

1.Parent

2.child

3.baby

4.middle-aged person
5.pensioners

# data[].attributes.headline
9. Complete the life stage phrases with the words on the box.

# data[].attributes.subject
9. Complete the life stage phrases with the words on the box.

# data[].attributes.body
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.

# data[].attributes.body
1.get
2.have
3.vote
4.retire
5.go
6.leave
7.go
8.have
9.start
10.have

# data[].attributes.body
9. complete the life stage phrases with the words on the box.
1. get a job
2. get married
3.vote in an election
4. start from your job
5. go school
6.leave home
7.go to university
8.have a children
9.start on a first day
10.have a driving licence

# data[].attributes.headline
9. Complete the life stage phrases with the words on the box.

# data[].attributes.subject
9. Complete the life stage phrases with the words on the box.

# data[].attributes.body
1.get
2.have
3.vote
4.start
5.go
6.leave
7.go
8.have
9.start
10.have
Ken M.1/5 No.7

# data[].attributes.body
6.life stages 1-5
1.Parent
2.child
3.baby
4.middle-aged person
5.pensioner

# data[].attributes.headline
8. Rearrange the letters to make words for people of different ages.

# data[].attributes.subject
8. Rearrange the letters to make words for people of different ages.

# data[].attributes.body
1. agretene -

2. dilhc -

3. gouny tudla -

4. dega-ledimd nosrep -

5. abyb -

6. speernino -

7. vtyiunersi tunsted -

8. Trapne -

# data[].attributes.body
1.agretene - teenager
2.dilhc - child
3.gouny tudra - young adult
4.dega-ledimd nosrep - Middle Ages person
5.abyb - baby
6.speernino - persioner
7.vtyiunersi tunsted - university student
8.Trapne - parent

# data[].attributes.body
8.Rearrange the letters to make word for people different ages
1.agretene - teenager
2.dilhc - child
3.gouny tudle - young adult
4.dega-ledimd- nosrep - middle aged person
5.abye - baby
6.Speernino - pensioner
7.vtyiunersi tunsted - university
8.trapne - parent

# data[].attributes.body
agretene -  teenager

dilhc - child

gouny tudla - young adult

dega-ledimd nosrep - Middle Ages person

abyb - baby

speernino - persioner

vtyiunersi tunsted - university student

Trapne -parent

# data[].attributes.body
1.agretene - teenager
2.dilhc - child
3.gouny tudle - young adult
4.dega-ledimd- nosrep - middle aged person
5.abye - baby
6.Speernino - pensioner
7.vtyiunersi tunsted - university
8.trapne - parent

# data[].attributes.body
6. Young adult
7.university
8.parent

# data[].attributes.body
6.Young adult
7.university
8.parent

# data[].attributes.body
6. Young adult
7. university
8. parent

# data[].attributes.body
Nickname Jaosun Class M1/5 No.6
1baby

# data[].attributes.body
5. young adult
5. young adult
How old is the young adult?
star_border
RATE
6. Life Stages 1-5
6. Life Stages  1-5
Label the photos with the words in the box.
1
2. 
3.
4.
5.
star_border
RATE
7. Numbers 6-8
7. Numbers 6-8
6. 
7. 
8.
star_border
RATE
8. Rearrange the letters to make words for people of different ages.
8. Rearrange the letters to make words for people of different ages.
agretene - 
dilhc -
gouny tudla -
dega-ledimd nosrep -
abyb -
speernino -
vtyiunersi tunsted -
Trapne -






star_border
RATE
9. Complete the life stage phrases with the words on the box.
9. Complete the life stage phrases with the words on the box.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
star_border

# data[].attributes.body
Liew Liew M.1/5 No.20
1.baby

# data[].attributes.body
Boss M 1/5 No.04
Boss M 1/5  No.04
star_border
จัดอันดับ

edit

delete

more_horiz
Nickname Ken  M
Nickname Ken  M.1/5 No.7
1.baby
star_border
จัดอันดับ
Baifern 1/5 No.24
Baifern 1/5 No.24
Baby
star_border
จัดอันดับ
Nickname Class/ No
Nickname        Class/ No
1. baby
star_border
จัดอันดับ
Life Stages
Life Stages
Talk about special days in your life. Find a photo of the following stages and tell us what's happening on that photo.( put your own photo )

1. baby 
star_border
จัดอันดับ
2. child
2. child
star_border
จัดอันดับ
3. teenager
3. teenager 
star_border
จัดอันดับ
4. university student
4. university student 
What are your top 3 courses ?
1. 
2. 
3.
star_border
จัดอันดับ
6. Life Stages 1-5
6. Life Stages  1-5
Label the photos with the words in the box.
1
2. 
3.
4.
5.
star_border
จัดอันดับ
5. young adult
5. young adult
How old is the young adult?
star_border
จัดอันดับ
7. Numbers 6-8
7. Numbers 6-8
6. 
7. 
8.
star_border
จัดอันดับ
8. Rearrange the letters to make words for people of different ages.
8. Rearrange the letters to make words for people of different ages.
agretene - 
dilhc -
gouny tudla -
dega-ledimd nosrep -
abyb -
speernino -
vtyiunersi tunsted -
Trapne -






star_border
จัดอันดับ
9. Complete the life stage phrases with the words on the box.
9. Complete the life stage phrases with the words on the box.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
star_border
จัดอันดับ
5. young adult 5. young

5. young adult
5. young adult
How old is the young adult?
star_border
RATE
6. Life Stages 1-5
6. Life Stages  1-5
Label the photos with the words in the box.
1
2. 
3.
4.
5.
star_border
RATE
7. Numbers 6-8
7. Numbers 6-8
6. 
7. 
8.
star_border
RATE
8. Rearrange the letters to make words for people of different ages.
8. Rearrange the letters to make words for people of different ages.
agretene - 
dilhc -
gouny tudla -
dega-ledimd nosrep -
abyb -
speernino -
vtyiunersi tunsted -
Trapne -






star_border
RATE
9. Complete the life stage phrases with the words on the box.
9. Complete the life stage phrases with the words on the box.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
star_border
star_border
จัดอันดับ
Nickname Jaosun Clas
Nickname Jaosun Class M1/5 No.6
star_border

# data[].attributes.body
Talk about special days in your life. Find a photo of the following stages and tell us what's happening on that photo.( put your own photo )

1. baby

# data[].attributes.body
2 child
In 1 to 5 year old.

# data[].attributes.body
Nickname Ken M Nickname

Nickname Ken  M
Nickname Ken  M.1/5 No.7
1.baby
star_border
จัดอันดับ
Baifern 1/5 No.24
Baifern 1/5 No.24
Baby
star_border
จัดอันดับ

# data[].attributes.body
1.baby

# data[].attributes.body
P.P. 1/5 no.12
1.baby

# data[].attributes.body
1.baby

# data[].attributes.body
1 baby

# data[].attributes.body
1.baby
In 2-3 years

# data[].attributes.body
1.baby

# data[].attributes.body
1.baby

# data[].attributes.body
2.child

# data[].attributes.body
1 baby

# data[].attributes.body
P.P. 1/5 no.12
2.child

# data[].attributes.body
2.child

# data[].attributes.body
1.baby

# data[].attributes.body
3 Teemager

# data[].attributes.body
3.teenager

# data[].attributes.body
3.teenager

# data[].attributes.body
3 teenager

# data[].attributes.body
P.P. 1/5 no.12
3.teenager

# data[].attributes.body
2.Child
In 5-6 years

# data[].attributes.body
3 Teenager

# data[].attributes.body
2.child

# data[].attributes.body
2 child

# data[].attributes.body
3.teenager
In 12-13 years

# data[].attributes.body
2.child