{"id":43334,"date":"2018-04-18T14:07:09","date_gmt":"2018-04-18T21:07:09","guid":{"rendered":"http:\/\/world.edu\/?p=43334"},"modified":"2018-04-18T14:07:09","modified_gmt":"2018-04-18T21:07:09","slug":"five-ways-artificial-intelligence-will-shape-the-future-of-universities","status":"publish","type":"post","link":"https:\/\/world.edu\/five-ways-artificial-intelligence-will-shape-the-future-of-universities\/","title":{"rendered":"Five ways artificial intelligence will shape the future of universities"},"content":{"rendered":"

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\nArtificial Intelligence (AI) is transforming many human activities ranging from daily chores to highly sophisticated tasks. But unlike many other industries, the higher education sector has yet to be really influenced by AI.<\/p>\n

Uber has disrupted the taxi sector, Airbnb has disrupted the hotel industry and Amazon disrupted first the bookselling sector, then the whole retail industry. It is only a matter of time then until the higher education sector undergoes a significant transformation.<\/p>\n

Within a few short years, universities may well have changed beyond all recognition. Here are five ways that AI will help to change and shape the future of universities and higher education for the better.<\/p>\n

1. Personalised learning<\/strong><\/h4>\n

Universities are already using AI algorithms to personalise learning and deliver content that is suited to the students needs and pace of learning \u2013 and this is only likely to continue. This idea is built on\u00a0research<\/a>\u00a0that shows different people have different aptitudes, skills and orientations to learn when exposed to the same content and learning environments.<\/p>\n

Offering personalised, adaptive learning platforms recognises the diversity that is part of any learning ecosystem. This will be a significant change for universities, as it moves away from the traditional model of \u201cone module guide for all\u201d.<\/p>\n

It will see educators equipped with data sets to analyse and understand the needs of individuals. And work can be automatically adapted to the style and pace of learning for each particular student.
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Because everybody learns differently. Pexels<\/p><\/div><\/p>\n

2. Moving beyond the classroom<\/strong><\/h4>\n

As educational AI develops, students will be able to study where they want, when they want and using whatever platform they want. This is likely to mean that tablets and mobile phones will become the main delivery methods.<\/p>\n

Universities are already using AI-enabled smart building concepts to redesign learning spaces. Modern \u201csmart\u201d classroom spaces are now generally equipped with circular tables, laptops, flat screen monitors, multiple projectors, and whiteboards to encourage and support collaborative and engaged active learning.
\nThis helps educators move away from a traditional classroom set-up, to a more interactive style of working, to encourage deeper learning approaches. And this will start to include more hybrid methods of learning \u2013 such as both\u00a0face-to-face and online<\/a>\u00a0interactions.<\/p>\n