Naomi Larsson Piñeda 

‘It’s an educational revolution’: how AI is transforming university life

AI chatbots have arrived on UK university campuses. But is the hype justified?
  
  

Staffordshire University has introduced the UK’s first digital assistant on its campus.
Staffordshire University has introduced the UK’s first digital assistant on its campus. Photograph: Staffordshire University

Beacon is unlike any other member of staff at Staffordshire University. It is available 24/7 to answer students’ questions, and deals with a number of queries every day – mostly the same ones over and over again – but always stays incredibly patient.

That patience is perhaps what gives it away: Beacon is an artificial intelligence (AI) education tool, and the first digital assistant of its kind to be operating at a UK university.

Staffordshire developed Beacon with cloud service provider ANS and launched it in January this year. The chatbot, which can be downloaded in a mobile app, enhances the student experience by answering timetable questions and suggesting societies to join. Beacon can also apply for an exemption from council tax, order new student cards and connect users with lecturers.

Students can chat with Beacon via text or voice conversation, and as use increases, it becomes smarter. Eventually, it will be able to remind students about classes and deadlines.

“Beacon is one of our first steps in terms of AI,” says Liz Barnes, Staffordshire’s vice-chancellor. “It has the ability to provide students with immediate support”, which is important “particularly as the younger generation now want instant access to answers”.

For some people, the thought of AI in education may conjure sci-fi images of hologram lecturers replacing human teachers. But AI tools are already here.

“For decades, technologies like artificial intelligence have been disrupting and improving sectors across the world, while education, the second-biggest sector globally, has remained largely untouched,” says Priya Lakhani, founder and CEO of Century Tech, an AI teaching and learning platform. “That is changing, with universities now beginning to harness the power of AI to improve both learning and the student experience.”

Toby Baker, from Nesta’s Innovation Lab, co-authored a report into the use of AI in UK education, and found different tools being used across the board. Some are aimed at tailoring a personalised educational experience for learners, while others ease teachers’ workloads through tools such as automated marking. Others help managers make decisions, including tools that analyse data across multiple colleges to predict which are likely to perform less well in inspections.

AI can solve the myriad problems in the current education system, he says. “It has the potential to widen access and participation, improve consistency of education provision and relive some of the pressures on our teachers and lecturers who, in some cases, are drowning in administrative work. We can see that has a knock-on effect on the wellbeing of teaching staff, and the ability to retain and recruit talent.”

“AI has the potential to be a game-changer,” agrees Jason Harley, assistant professor at the Department of Educational Psychology, University of Alberta. “We know that university is stressful for students. We know not all students come into universities having formal opportunities to improve studying strategies and skills. It’s an opportunity to fill the gaps.”

The objective of AI is to supplement teachers, not replace them, and reduce their administrative workload so they can focus on more creative or theoretical aspects of their courses. Such measures could benefit learners, too. “It could improve students’ grades and their experiences by referring them to support and resources they might not be aware of,” says Harley.

Digital assistants could provide one-on-one learning and – ironically – a more personal studying experience, which isn’t possible for a lecturer with 500 students. AI bots could remind students to study, keep track of how long they’ve been reading an e-text, or assess their grades. They could also make learning more flexible for those who have other commitments, families or live in remote areas.

Ada, an AI chatbot, has been helping students at further education college Bolton College since April 2017. Like Beacon at Staffordshire, it is available 24/7 to answer questions. A typical scenario, says Aftab Hussain, Bolton’s strategic ILT leader, is during freshers’ week, when students might ask Ada at 5am what time their morning class is.

But Ada also measures attendance, grade profiles, and whether students are performing on par. With this information, it can nudge them, for example, if they need to get a distinction to reach their grade average.

Hussain also notes that queries aren’t just limited to study-related subjects. Some students have told Ada they’re feeling depressed, or alluded to self-harming. They are then informed that this information is being shared with the college’s mental health team. “It’s our responsibility,” he says. “We have to take things seriously.”

Staffordshire is exploring ways to support student wellbeing through AI, including developing a mental health chatbot. “The basic support and recognition of students who need help can all be done through the bot,” says Barnes. “Then we can free people up to meet face to face with students who really need that support.”

Of course, underpinning all of this is are questions over ethics and privacy.

UCL Institute of Education’s (IOE) Prof Rose Luckin is co-founder of the UK’s first Institute for Ethical Intelligence in Education. She thinks the solution to the problems facing the education system – like the global teacher shortage and access to quality education – “is at our fingertips”. “But we must ensure that the ethical vacuum of much of today’s commercial AI development is filled with practices, moral values and ethical principles, so that society in all its diversity will benefit. Ethics must be ‘designed in’ to every aspect of AI for use in education, from the moment of its inception to the point of its first use.”

Issues include which data is collected, who is responsible for processing it, and for what purpose. “We need everybody involved to understand ethics so it’s in their DNA from the word go,” Luckin says.

For Harley, the most important thing is that all users are able to understand AI and the data being used. “Typically the more data AI has access to the better it’s going to get to know you and provide better recommendations. But it’s also important for students to only share information they’re comfortable with.”

Prof Ashok Goel at Georgia Tech university developed Jill Watson, an AI teaching assistant with IBM’s AI “Watson” technology, in 2015. Aside from privacy and security concerns, he sees the main problems as accessibility. Will some people have access to these AI agents and others not? Will some benefit more than others?

There is a gender issue too: Ada and Jill are both typically female names, which may play into stereotypes that serving is a woman’s job. There is also a diversity issue within AI. Goel asks, how does someone called Ashok (his first name) react to names like Jill? Automated systems have been shown to replicate and amplify biases and discrimination.

But if it’s rolled out carefully, Goel believes AI can change the world. “We could create an educational revolution because education would become personal,” he says.

“The number of humans who get quality education is about 20%, which means 80% don’t. The problem is not too many teachers. The problem is we don’t have enough human teachers. We want to amplify the reach of the good teachers so they can reach everyone.”

 

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