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 we be more suspicious of their benefits ?

At the turn of
this
century, computers have become a quintessential part of human life. More and more individuals are relying upon computers for their work as well as daily routines. In
this
essay, I will argue how computers would improve our efficiency, decrease
work load
work that a person is expected to do in a specified time
workload
and how it can benefit us immensely in the future. Since computers provide us with numerous benefits, it has become an integral part of human life currently. Due to its ability to process large volume of data much faster, computers
also
have become the core of any business
operation
Suggestion
operating
in most of the industries like hospitality, banking, aviation etc. They are not only used in improving the processing time, but
also
help in reducing the manpower
requirement
Suggestion
required
.
Further
, it can help in storing large amounts of data and retrieving it at the click of a button.
Thus
Suggestion
This
computer
have helped
Suggestion
has helped
in automating or easing out the operations of a large number of commercial enterprises. Because of all these technological benefits derived, it is quite evident that the computers are here to stay. More and more advancements are being made to
further
empower computers, to perform complex functions. Artificial intelligence is one particular field wherein a lot of innovations are being made. With increased development in the field, computers would be capacitated to take over and carry out human functions without fault.
For example
, computers are being used to make robots in Japan for serving as waiters in a restaurant, to account for the shortage of human labour. Developments are being made to make train rides
driverless
, aircraft flight
pilotless
and
also
robots to replace humans in a lot of industries.
Thus
computer are being increasingly used in a variety of operations in a multitude of industries.
This
trend is
to continue
Suggestion
continuing
in the future. In my opinion, relying upon computers to function effectively is a positive sign.
Submitted by rahulgangadhar on

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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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Essentional vocabulary list for IELTS Writing 7+

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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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