{"id":2486,"date":"2018-04-19T15:03:23","date_gmt":"2018-04-19T14:03:23","guid":{"rendered":"http:\/\/blogs.reading.ac.uk\/the-forum\/?p=2486"},"modified":"2021-11-15T16:18:51","modified_gmt":"2021-11-15T16:18:51","slug":"five-ways-artificial-intelligence-will-shape-the-future-of-universities","status":"publish","type":"post","link":"https:\/\/research.reading.ac.uk\/research-blog\/2018\/04\/19\/five-ways-artificial-intelligence-will-shape-the-future-of-universities\/","title":{"rendered":"Five ways artificial intelligence will shape the future of universities"},"content":{"rendered":"

Artificial 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, says\u00a0Nafis Alam in a new post for The Conversation.<\/a><\/strong><\/p>\n

\"\"<\/a><\/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

<\/p>\n

1. Personalised learning<\/strong><\/p>\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 research that 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.<\/p>\n

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

This 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 face-to-face and online interactions.<\/p>\n

3. Welcome to the smart campus<\/strong><\/p>\n

The Internet of Things also has the potential to transform universities into smarter places to work and learn. At its core, the technology is simple, it\u2019s all about connecting devices over the internet and letting them talk to us, as well as each other.<\/p>\n

Smart classrooms will also enhance the learning experience of the students. A classroom connected to the Internet of Things equipped can adapt to the personalised settings to prepare the classroom for different faculty members. Monitoring attendance and invigilating exams will also be automated and made much more robust.<\/p>\n

This development in technology will also enable smart campuses to adopt advanced systems to automatically monitor and control every facility. Universities will be able to monitor parking spaces, building alarms, room usage, heating and lighting all very easily<\/p>\n

4. Great customer service<\/strong><\/p>\n

Universities are also using AI to streamline their processes, resulting in cost savings and better service levels \u2013 and this is something that is set to continue. A good example of this is Deakin University in Australia, which has partnered with IBM to be the first university worldwide to implement Watson. Watson is a supercomputer developed by IBM that combines AI and sophisticated analytical software to answer users\u2019 questions.<\/p>\n

Watson\u2019s main functionality is to replicate a human\u2019s ability to answer questions. This functionality uses 90 servers with a combined data store of more than 200m pages of information and processed against six million logic rules.<\/p>\n

Deakin\u2019s aim is to create a 24\/7 online student advisory service, that will improve the student experience. Integrated with their single interface platform and online personal hub, DeakinSync enables students to ask questions and receive instant online answers.<\/p>\n

5. Monitoring performance<\/strong><\/p>\n

Another dimension of using AI innovations in universities will be the use of block chains. This will revolutionise how universities operate, as higher education institutions use this technology to automate recognition and the transfer of credits, potentially opening up learning opportunities across universities.<\/p>\n

Universities can also use block chains to register and record the intellectual property rights arising from scholarly research. Copyright could be notarised at the date of publication and later reuse can be tracked for impact assessments. This will transform the way universities operate and help to demonstrate the true impact that academic research can have.<\/p>\n

This post was first published on The Conversation, 18 April 2018<\/a>\u00a0and is co-authored by\u00a0Graham Kendall<\/a>, P<\/span>rofessor of Computer Science and Provost\/CEO\/PVC at the University of Nottingham.<\/em><\/p>\n

Nafis Alam is an Associate Professor in Finance at the University of Reading Henley Business School, Malaysia. His research focuses\u00a0on banking regulation, financial stability and corporate finance.\u00a0<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Artificial Intelligence (AI) is transforming many human activities ranging from daily chores to highly sophisticated tasks. 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