A knowledge of maths is not important for most jobs nowadays. To what extent do you agree or disagree with this statement?

Mathematics is an incredibly useful subject
that is
learned by almost everyone on the planet to some degree. Is
maths
,
however
, a useful tool for most
jobs
, especially with the advent of modern technology? In my view, I would tend to agree that it is no longer a vital part of most
jobs
,
although
it clearly remains critical for some industries. There is now a growing number of professions where
maths
is no longer important on a day-to-day basis at
work
. Employees no longer need to perform calculations
such
as adding up bills or calculating percentages
while
at
work
. These
jobs
are performed by technologies
such
as tills and computers which automate the entire process. Once upon a time, retail employees would need to manually calculate the final sales total, but
this
process has been replaced, first by calculators and more recently by electronic tills. Other companies, which would have once had to issue invoices or calculate future sales forecasts, no longer require employees to manually calculate these since they have a variety of computer programs to complete
this
work
. As we have a growing number of people working in these fields, it is safe
to conclude
that an increasing proportion of the population does not require basic
maths
to perform their duties. Despite
this
, it is important to note that there is, and will always be, a subsection of the population that will probably always be required to rely on their
maths
skills. Health professionals,
such
as doctors and dentists, very often have to calculate doses of medicines manually,
while
researchers in various fields have to calculate statistics and probabilities of events.
Finally
, there are, of course, those people who
work
in accounting, auditing or actuarial services who will always need mathematics. The increased prevalence of technology within workplaces has, in my view, led to
maths
becoming less important for most
jobs
nowadays. There will always remain,
however
, people in society who will rely on
this
subject to perform their
jobs
.
Submitted by nadita.ayudya on

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task response
The essay provides a clear and comprehensive response to the task question with relevant examples and a balanced opinion. Well done!
coherence cohesion
The essay demonstrates a good logical structure with a clear introduction, body, and conclusion. Use of cohesive devices could be improved to enhance coherence further.

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:
  • omnipresence
  • automation
  • advanced mathematics
  • critical thinking
  • digitalization
  • software tools
  • mathematical literacy
  • personal finance management
  • logical reasoning
  • data analysis
  • mathematical competence
  • complex calculations
  • in-depth
  • broader job market
  • specific fields
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