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 math,
however
, a useful tool for most professions 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 assignments,
although
,clearly it 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 do not need to perform calculations
such
as adding up bills or calculating percentages
while
at work. These tasks 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 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
job. As we have a growing number of people who are working in these fields, it is safe
to conclude
that an increasing proportion of the population does not require basic math to perform their duties. Despite
this
, it is important to note that there is and will always be a sub-section of the population that will probably always be required to rely on their algebra 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 and less important for most posts nowadays. There will always remain,
however
, people in society who will rely on
this
subject to perform their jobs.
Submitted by ankurj1011 on

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Task Response
Ensure that the essay directly addresses the given statement. Provide a balanced view of the argument and make sure to support all relevant points.
Coherence and Cohesion
The overall structure of the essay is clear, with a logical progression of ideas. However, ensure that all paragraphs are clearly linked, and transitions between ideas are smooth and coherent.

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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