AI is becoming increasingly more of a reality in today’s world, transforming from mere talk to real development that’s already making its way into industries around the world. One area that AI is expected to impact is education, but what does this mean for the future of the school system and educational development?
In some ways, AI is expected to be a positive addition to schools that are already seeing significant improvement at the hands of technology. In other ways, AI could be a negative introduction, causing a number of challenges that are so far unprecedented. Read on to discover the two sides of AI…
The Positive Impact of AI on Learning
When it comes to the relative unknown of AI, the possibilities can seem endless, and we’re only just starting out in our exploration of the new technology. There have already been areas identified where AI could have a great impact on education, particularly through digitisation, automation, and personalised learning.
Digitisation – There’s the potential that AI could lead to a ‘smarter’ future, where everyday resources are digitised. This includes the digitisation of textbooks and the implementation of advanced learning tools, like virtual and augmented reality.
Automation – AI is expected to lead to the automation of many tasks, including grading, report creation, and record checking. This could save valuable time, cut costs, and allow staff to focus on other important tasks. Automatic translation for students with language difficulties is also a potential application of AI.
Personalised Learning – One of the biggest impacts that AI could have on learning is the development of a more personalised curriculum for every student. Curriculums could be created based on a student’s exact skill level and their main weaknesses, saving time on manual reviews, and creating better-suited education for individuals.
The Negative Impact of AI on Learning
Many of the possibilities of AI will have a largely positive impact on learning in the future, but that’s not the case for every aspect of AI development. AI has some drawbacks, including an excess of data and a high cost.
Too Much Data – AI requires data to output data, not all of which will to be a good reflection of a situation if the AI can’t differentiate between information. If incorrect data is provided, then the ‘solutions’ that the AI will provide will be unreliable – much will still be dependent on human input. Data is also very impersonal, lacking an emotional input that many situations require; in some scenarios, the data could simply be meaningless.
Burden of Cost – Rolling out AI systems isn’t without a large cost, especially in the early days of AI development. The burden of this cost is not realistic for many schools in the UK, where the basic funding for schools is already being stretched.
There are still many uncertainties about the role that AI will play in the future of education, but one thing is certain, AI is becoming a bigger part of the world year on year.
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