How will artificial intelligence change the way we learn?
In universities we have forgotten pen and paper a long time ago. If you walk into a university library or lecture hall, all you see are laptops and fancy slideshows with integrated videos. We are currently using efficient digital tools to support learning. Search engines have saved us from approaching librarian every time we need something inspirational to read. The amount of time we save and the amount individualized learning experiences we are provided is massive. We are still doing the literature review by ourselves, but in the future research is going through a big transformation through artificial intelligence.
The fastest growing field in universities is technology, where students learn to handle big data. They also learn to design new research technologies and create new software to analyse quantitative data, other than the traditional software SPSS, which is widely used to go through numerical data. New products can be used in any field of science as a technical help for writing process. We need new experts in every field, as the old ways of doing work are changing rapidly. Also, in the future, writing your thesis will not be about reviewing literature and writing convincing text, because artificial intelligence can do it for you. It is about solving problems by making innovations and applying them to different contexts.
From practise to the philosophy of AI
There are still lots of questions to be solved concerning equality; we are not sure if AI can yet assess assignments equally and if it is even going to be available for every student. Also, technological development demands universities to produce a workforce who can design and use artificial intelligence as a tool to reach the targets set. Usually the targets are based on leading the market and earning as much as possible as the best AI professors have been already hired to market giants with insane compensations in their pockets. Not only the technical sciences will be affected by this, but others as well. In the medical field, for example, doctors could be responsible for AI that can take part in surgeries.
From that we can draw a conclusion, that AI is a good host, but a bad master. We have to learn how to use the tool ethically. Universities must emphasise critical thinking and be aware where the technology they use is coming from. There are risks in integrating AI in our everyday life, as we have seen before. If AI can teach us, who or what will teach AI?
More to read about universities and AI:
Artificial intelligence will transform universities. Here’s how
Mark Dodgson and David Gann have written a comprehensive text about the relationship between AI and universities.
This article is about the race for the best experts of artificial intelligence. What will happen to the universities, when giant companies buy out their staff?
University of Michigan Uses Machine Learning to Improve Student Writing
Meghan Bogardus Cortez presents how automated text analysis is already used to help learning and assessment in univerisities.
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