# data[].attributes.body
happy:
- drink coffee in the morning
- meet my love
- being able to what I love: play football, study English, eat,
( learn many words, meet new friends, more confident,..)
- do exercise in the afternoon
- cook all meals
- surf in the internet
- read a book...
Why?
2-3
Q7:
- good
- should: relax, learn more new languages, meet new friends, more flexible hands, less boring.
- break, meet new friends, creative, learn some knowledge like history,...
- relax, reduce stress,
country: peaceful, feel...
friendly, kind, comfortable,

# data[].attributes.headline
Q21:  What do you do to stay healthy during covid 19 pandemic? ( Vân Anh)

# data[].attributes.subject
Q21:  What do you do to stay healthy during covid 19 pandemic? ( Vân Anh)

# data[].attributes.headline
Q19: Can you introduce about yourself ( All)

# data[].attributes.subject
Q19: Can you introduce about yourself ( All)

# data[].attributes.headline
Q20: What job do you think you’ll have in 5 years from now? (Uyên)

# data[].attributes.subject
Q20: What job do you think you’ll have in 5 years from now? (Uyên)

# data[].attributes.headline
Q10: What makes you happy every day? ( Yến)

# data[].attributes.subject
Q10: What makes you happy every day? ( Yến)

# data[].attributes.headline
Q17: What SHOULD/SHOULDN’T we do to stay healthy? (Khánh)

# data[].attributes.subject
Q17: What SHOULD/SHOULDN’T we do to stay healthy? (Khánh)

# data[].attributes.headline
Q7: Should students play computer games in their free time?  (Uyên)

# data[].attributes.subject
Q7: Should students play computer games in their free time?  (Uyên)

# data[].attributes.headline
Q12: How often do you make phone calls in English? ( Vân Anh)

# data[].attributes.subject
Q12: How often do you make phone calls in English? ( Vân Anh)

# data[].attributes.headline
Q16: Talk about table manners in Vietnam using Should/ Shouldn't ( Linh)

# data[].attributes.subject
Q16: Talk about table manners in Vietnam using Should/ Shouldn't ( Linh)

# data[].attributes.headline
Q15: Do you like online shopping or traditional shopping? Why? ( Dương)

# data[].attributes.subject
Q15: Do you like online shopping or traditional shopping? Why? ( Dương)

# data[].attributes.headline
Q14: Do you prefer living in a city or country? Why? ( Khánh)

# data[].attributes.subject
Q14: Do you prefer living in a city or country? Why? ( Khánh)

# data[].attributes.headline
Q13: Why did you choose that major/ job?  ( Dương)

# data[].attributes.subject
Q13: Why did you choose that major/ job?  ( Dương)

# data[].attributes.headline
Q11: What makes first impressions? ( Yến)

# data[].attributes.subject
Q11: What makes first impressions? ( Yến)

# data[].attributes.headline
Q9: Weather forecast in the next 7 days ( Uyên)

# data[].attributes.subject
Q9: Weather forecast in the next 7 days ( Uyên)

# data[].attributes.headline
Q8: Talk about your strengths and weaknesses ( Vân Anh)

# data[].attributes.subject
Q8: Talk about your strengths and weaknesses ( Vân Anh)

# data[].attributes.headline
Q6: Why do you want to learn English? (Dương)

# data[].attributes.subject
Q6: Why do you want to learn English? (Dương)

# data[].attributes.headline
Q5: What do you usually do on your Birthday? ( Yến)

# data[].attributes.subject
Q5: What do you usually do on your Birthday? ( Yến)

# data[].attributes.headline
Q4: Is it important to be punctual? ( Linh)

# data[].attributes.subject
Q4: Is it important to be punctual? ( Linh)

# data[].attributes.headline
Q3: Can you show me the nearest way from YOUR HOUSE to YOUR SCHOOL/ OFFICE? ( Dương)

# data[].attributes.subject
Q3: Can you show me the nearest way from YOUR HOUSE to YOUR SCHOOL/ OFFICE? ( Dương)

# data[].attributes.headline
Q2: Talk about one of your friends ( Uyên)

# data[].attributes.subject
Q2: Talk about one of your friends ( Uyên)

# data[].attributes.headline
Q1: Talk about your first day at University/ work/school ( Linh)

# data[].attributes.subject
Q1: Talk about your first day at University/ work/school ( Linh)