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? Give reasons for your answer and include any relevant examples from your own knowledge or experience

Computers are a relatively new invention. These days, we are completely dependent on the computers that we can’t imagine doing work without their involvement. They are widely used in almost every profession of life. In
this
essay, we will discuss that for what purposes we commonly used them in the future and is our dependence on these machines will be justified or not.
This
essay will
also
analyse that inordinate usage of computers will be harmful.
Firstly
, computers is potentially used in daily chores for cleaning purposes because they are faster and more efficient.
For example
, cleaning the houses within time can be convenient by the advent of robot maids.
Besides
, computers are widely used by the teachers for teaching online by staying at their own place.
For example
, they can connect many people from all over the world within one class through the use of computers. So, computers will be efficiently used for cleaning purposes and teaching online.
However
, the undue use of computers has many demerits.
Firstly
, the excessive usage of machines may cause unemployment of youngsters which can lead them towards crime.
For example
, if we totally rely on machines for our needs
then
it may result in increased rates of crime.
Secondly
, the physical absence of teachers from the classrooms may cause problems of discipline with the students.
Also
, students are unable to develop social values in their behaviour which causes hindrance in the country’s social growth. In conclusion, there is a certain inevitability that technology will progress and become increasingly complex. We should,
however
, ensure that we have control over the excessive utilization of machines.
This
essay discussed that computer will be used for cleaning and educational institutions in the coming days and the overuse of these machines leads people towards unemployment
that is
intrinsically tied to the crime rate within the nation. In my opinion, we should be more suspicious of their benefits to ensure that modern technology will not affect us at any cost.

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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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