We are becoming increasingly dependent on computers. They are used in business, hospitals, crime detection and even to fly planes. What things will they be used in the future? Is this dependence on computers a good thing or should be more suspicious of their benefits?

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Computers turned the world into a small meeting and communication place, it helps in many sectors like, education, government and medical. Scientist believe in themselves that
this
Linking Words
technology will build a developed future and people can rely on since it's a good thing that will change their lives. Many things can be done for a sophisticated future, that can help people.
First
Linking Words
, in space, astronauts can build their own equipment that
make
Suggestion
makes
it easy
to
Suggestion
for
them to discover new planets and places that can’t be
reach
Suggestion
reached
easily, and check if there are resources
such
Linking Words
as water or oxygen, and if
human
Suggestion
humans
a human
can live there. Computers can help people to increase their memory storage, by planting microelectronic chips in their brains, where they can store more info and assist in memorizing.
For example
Linking Words
,
China Aerospace Association
Suggestion
the China Aerospace Association
,
are working
Suggestion
is working
on developing
space machine
Suggestion
a space machine
that can walk on
moon
Suggestion
the moon
that absorb
damages
Suggestion
damage
, to discover the
second
Linking Words
part of it.
On the other hand
Linking Words
, society these days believe and rely on computers, since it's turning their work simple and making more profit.
First
Linking Words
, man can depend on
this
Linking Words
advanced technology, it helped several governments in cyber crimes, discovered drug and weapon dealers that are ruining societies.
Second
Linking Words
, computers opened the opportunity for
big number
Suggestion
a big number
of people to find new places where they believed there aren't exist. Addition to that, humans are closer to each other now, due to social media and internet, where they can connect easily.
For example
Linking Words
, Aliexpress website that
collapse
Suggestion
collapses
millions of Chinese shops in it, where it facilitates
people life
Suggestion
the person's life
person's life
to shop online and trade faster,
this
Linking Words
encourages and help the economy of their country. As a conclusion, computer is needed in our daily life and future, we can control it and don't let technology replace us.

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Include an introduction and conclusion

A conclusion is essential for IELTS writing task 2. It is more important than most people realise. You will be penalised for missing a conclusion in your IELTS essay.

The easiest paragraph to write in an essay is the conclusion paragraph. This is because the paragraph mostly contains information that has already been presented in the essay – it is just the repetition of some information written in the introduction paragraph and supporting paragraphs.

The conclusion paragraph only has 3 sentences:

  • Summary
  • Restatement of thesis
  • Prediction or recommendation

Example:

To summarize, a robotic teacher does not have the necessary disciple to properly give instructions to students and actually works to retard the ability of a student to comprehend new lessons. Therefore, it is clear that the idea of running a classroom completely by a machine cannot be supported. After thorough analysis on this subject, it is predicted that the adverse effects of the debate over technology-driven teaching will always be greater than the positive effects, and because of this, classroom teachers will never be substituted for technology.

Start your conclusion with a linking phrase. Here are some examples:

  • In conclusion
  • To conclude
  • To summarize
  • Finally
  • In a nutshell
  • In general

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Topic Vocabulary:
  • Autonomous vehicles
  • Smart traffic management
  • AI (Artificial Intelligence)
  • Machine learning
  • Personalized treatment
  • Virtual classrooms
  • AI tutors
  • Smart homes
  • Energy consumption
  • Grocery shopping automation
  • Data analysis
  • Decision-making assistance
  • Efficiency
  • Mainstream adoption
  • Predictive algorithms
  • Personalization
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