Deakin University to use machine learning for student support

Students at Deakin University will soon be interacting with a very different form of student support officer – a computer, powered by artificial intelligence.  

Simon Eassom, Global Manager Education Sales and Solutions for Smarter Cities at IBM with William Confalonieri, CIO at Deakin University.

The university has signed a world-first deal with IBM’s Watson division to provide computerised support services from early 2015 that are powered by machine learning, and further to offer cognitive computing as a module within IT degrees offered by the institution.

Deakin University is the second major Australian organisation to embrace the technology after a deal struck between IBM and ANZ Bank in mid-2013, which 12 months on is still not in use. (Read on to page two for ANZ’s update on its use of the technology).

“In years to come the IT landscape will be dominated by smart machines, and through this partnership with IBM, Deakin will be the first educational institution exploring the potential of Cognitive Computing in empowering students in their learning journey,” said William Confalonieri, CIO at Deakin from an IBM event in New York. 

IBM’s Watson technology is a software program that can communicate using natural language. Fed sufficient data, it can generate many hypotheses about a problem it is presented with and decide on the most sensible solution – but crucially, is adaptive in that it can receive feedback and adjust its answer the next time the same problem is encountered.

Over the coming months, technicians from Deakin and IBM will feed the system thousands of pages of Deakin's unstructured data contained in documents, presentations, brochures and web sites, in the hope it will become a consistent, one-stop-shop for student information.

The system will be hosted by IBM in the United States and offered to Deakin as a subscription service.

In early 2015, Deakin students will be able to interact with Watson in a limited capacity as an ‘Information Assistant’ – something akin to the experience iPhone users have sampled using Apple’s ‘Siri’ assistant. The system will, at that stage, be able to answer general questions and ‘how to’ questions.

Confalonieri said this might include, for example, answers to questions such as:

• What social activities are available at Deakin?
• What are the computing requirements for my course and are there any discounts for students?
• What kinds of online marketing masters degree does Deakin offer?
• What student housing is available near to Deakin?  
• What companies are recruiting on campus?

During Stage 2, the university hopes the system will have grown into more of a ‘Personal Advisor’ role, offering the context of what the university knows about the student to offer a more personalised conversation.

Confalonieri suggested that questions it might then answer could include:

• I missed enrolment for Masters of Architecture. When is it offered again?
• What additional units do I need to complete my major?
• What internships am I eligible to apply to?
• What are my visa options if I choose to work in Australia after graduation?

During Stage 3, the university hopes the system will have advanced enough to offer career advice. Questions might include something like:

• I would like to become an IT Architect. What are the gaps in my CV and how can I fill them?
• What are the odds that someone like me, a biology student, would get a job in a pharmaceutical company and what can I do to improve my chances?  
• What are the credentials for IT related jobs in my home country?

Confalonieri said he was reticent to share details of the next stage in the journey, other than to say that it would “push the current limits of Cognitive Computing.”

The Watson-powered information services will be presented to students as a self-service channel to augment existing student administration services, and also as a means to help Deakin’s administrative staff “provide a more complete service.”

New degrees

The university’s Schools of Information Technology and Information Systems will also embed IBM’s Watson technologies when teaching cognitive computing.

In 2015, students majoring in a Bachelor of Information Technology with Major in Mobile and Apps Development will be offered the opportunity to develop apps for Watson, among other platforms.

IBM hopes that the partnership will train up a new generation of developers that create applications for the Watson platform.

The technology will also be used in the Decision Modelling for Business Analytics unit within Deakin’s Master of Business Analytics degree.

The two courses have been co-designed by the Watson Group and academics specialising in artificial intelligence and computer science. IBM staff will also stand-in as tutors and guest lecturers.

By 2016, the university intends are to offer a Cognitive Science Major as part of its Bachelor of Computer Science degree, which will combine computer science and psychology.

Read on for an update on ANZ Bank’s Watson strategy...

The ANZ Bank announced it would start using IBM’s Watson technology as part of its customer service offering in May 2013, but has yet to put the system into production.

The bank now says it won’t be using Watson to deliver financial advice directly to customers, but rather as a “helpful assistant” to financial advisors as they liaise with customers.

Joyce Phillips, chief executive of ANZ’s Global Wealth Group said that “in the next few weeks”, the bank plans to unveil the new Watson Engagement Advisor Tool in its Sydney ‘GROW’ centre and later distribute it as an app to aid ~400 of the bank’s financial planners.

Joyce Phillips, ANZ Chief Executive Officer Global Wealth Group

ANZ has spent the last 15 months ‘training’ its ‘instance’ of the Watson application by loading it with unstructured, complex information including the terms and conditions of ANZ insurance products, product disclosure statements, research information, market data and financial statements.

The bank has also spent the last year identifying a list of 14,000 questions on insurance that customers are likely to ask of a financial planner, identified the ANZ documents that can answer these questions, and linked the two together within the Watson applications. The bank has also compiled an ‘insurance thesaurus’ to help Watson understand any non-standard terminology used in insurance queries at ANZ.

Finally, the bank has come up with 2500 ‘blind’ questions to throw at the machine after each cycle to measure its adaptive progress.

A Watson powered app

Even before the system is in production use, the process has helped ANZ identify a large number of questions for which it offers no documented evidence for customers. The bank has subsequently commissioned 500 new pieces of collateral to ensure the system can answer these questions.

ANZ intends to branch out from using Watson for insurance products to also use it for wealth products such as superannuation and investments, but has yet to set a date for this to launch.

How does IBM's hosting of Watson in the United States impact plans at the ANZ and Deakin University? Read Brett Winterford's blog post on Watson and data privacy.