EduTECH AU 2015, Day 1, Higher Ed Leaders, “Revolutionising the Student Experience: Thinking Boldly” #edutechauPosted: June 2, 2015
Lucy Schulz, Deakin University, came to speak about initiatives in place at Deakin, including the IBM Watson initiative, which is currently a world-first for a University. How can a University collaborate to achieve success on a project in a short time? (Lucy thinks that this is the more interesting question. It’s not about the tool, it’s how they got there.)
Some brief facts on Deakin: 50,000 students, 11,000 of whom are on-line. Deakin’s question: how can we make the on-line experience as good if not better than the face-to-face and how can on-line make face-to-face better?
Part of Deakin’s Student Experience focus was on delighting the student. I really like this. I made a comment recently that our learning technology design should be “Everything we do is valuable” and I realise now I should have added “and delightful!” The second part of the student strategy is for Deakin to be at the digital frontier, pushing on the leading edge. This includes understanding the drivers of change in the digital sphere: cultural, technological and social.
(An aside: I’m not a big fan of the term disruption. Disruption makes room for something but I’d rather talk about the something than the clearing. Personal bug, feel free to ignore.)
The Deakin Student Journey has a vision to bring students into the centre of Uni thinking, every level and facet – students can be successful and feel supported in everything that they do at Deakin. There is a Deakin personality, an aspirational set of “Brave, Stylish, Accessible, Inspiring and Savvy”.
Not feeling this as much but it’s hard to get a feel for something like this in 30 seconds so moving on.
What do students want in their learning? Easy to find and to use, it works and it’s personalised.
So, on to IBM’s Watson, the machine that won Jeopardy, thus reducing the set of games that humans can win against machines to Thumb Wars and Go. We then saw a video on Watson featuring a lot of keen students who coincidentally had a lot of nice things to say about Deakin and Watson. (Remember, I warned you earlier, I have a bit of a thing about shiny videos but ignore me, I’m a curmudgeon.)
The Watson software is embedded in a student portal that all students can access, which has required a great deal of investigation into how students communicate, structurally and semantically. This forms the questions and guides the answer. I was waiting to see how Watson was being used and it appears to be acting as a student advisor to improve student experience. (Need to look into this more once day is over.)
Ah, yes, it’s on a student home page where they can ask Watson questions about things of importance to students. It doesn’t appear that they are actually programming the underlying system. (I’m a Computer Scientist in a faculty of Engineering, I always want to get my hands metaphorically dirty, or as dirty as you can get with 0s and 1s.) From looking at the demoed screens, one of the shiny student descriptions of Watson as “Siri plus Google” looks very apt.
Oh, it has cheekiness built in. How delightful. (I have a boundless capacity for whimsy and play but an inbuilt resistance to forced humour and mugging, which is regrettably all that the machines are capable of at the moment. I should confess Siri also rubs me the wrong way when it tries to be funny as I have a good memory and the patterns are obvious after a while. I grew up making ELIZA say stupid things – don’t judge me! 🙂 )
Watson has answered 26,000 questions since February, with an 80% accuracy for answers. The most common questions change according to time of semester, which is a nice confirmation of existing data. Watson is still being trained, with two more releases planned for this year and then another project launched around course and career advisors.
What they’ve learned – three things!
- Student voice is essential and you have to understand it.
- Have to take advantage of collaboration and interdependencies with other Deakin initiatives.
- Gained a new perspective on developing and publishing content for students. Short. Clear. Concise.
The challenges of revolution? (Oh, they’re always there.) Trying to prevent students falling through the cracks and make sure that this tool help students feel valued and stay in contact. The introduction of new technologies have to be recognised in terms of what they change and what they improve.
Collaboration and engagement with your University and student community are essential!
Thanks for a great talk, Lucy. Be interesting to see what happens with Watson in the next generations.
I posted recently about the increasingly negative reaction to the “sentient machines” that might arise in the future. Discussion continues, of course, because we love a drama. Bill Gates can’t understand why more people aren’t worried about the machine future.
…AI could grow too strong for people to control.
Scientists attending the recent AI conference (AAAI15) thinks that the fears are unfounded.
“The thing I would say is AI will empower us not exterminate us… It could set AI back if people took what some are saying literally and seriously.” Oren Etzioni, CEO of the Allen Institute for AI.
If you’ve read my previous post then you’ll know that I fall into the second camp. I think that we don’t have to be scared of the rise of the intelligent AI but the people at AAAI15 are some of the best in the field so it’s nice that they ask think that we’re worrying about something that is far, far off in the future. I like to discuss these sorts of things in ethics classes because my students have a very different attitude to these things than I do – twenty five years is a large separation – and I value their perspective on things that will most likely happen during their stewardship.
I asked my students about the ethical scenario proposed by Philippa Foot, “The Trolley Problem“. To summarise, a runaway trolley is coming down the tracks and you have to decide whether to be passive and let five people die or be active and kill one person to save five. I put it to my students in terms of self-driving cars where you are in one car by yourself and there is another car with five people in it. Driving along a bridge, a truck jackknifes in front of you and your car has to decide whether to drive ahead and kill you or move to the side and drive the car containing five people off the cliff, saving you. (Other people have thought about in the context of Google’s self-driving cars. What should the cars do?)
One of my students asked me why the car she was in wouldn’t just put on the brakes. I answered that it was too close and the road was slippery. Her answer was excellent:
Why wouldn’t a self-driving car have adjusted for the conditions and slowed down?
Of course! The trolley problem is predicated upon the condition that the trolley is running away and we have to make a decision where only two results can come out but there is no “runaway” scenario for any sensible model of a self-driving car, any more than planes flip upside down for no reason. Yes, the self-driving car may end up in a catastrophic situation due to something totally unexpected but the everyday events of “driving too fast in the wet” and “chain collision” are not issues that will affect the self-driving car.
But we’re just talking about vaguely smart cars, because the super-intelligent machine is some time away from us. What is more likely to happen soon is what has been happening since we developed machines: the ongoing integration of machines into human life to make things easier. Does this mean changes? Well, yes, most likely. Does this mean the annihilation of everything that we value? No, really not. Let me put this in context.
As I write this, I am listening to two compositions by Karlheinz Stockhausen, playing simultaneously but offset, “Kontakte” and “Telemusik“, works that combine musical instruments, electronic sounds, and tape recordings. I like both of them but I prefer to listen to the (intentionally sterile) Telemusik by starting Koktakte first for 2:49 and then kicking off Telemusik, blending the two and finishing on the longer Kontakte. These works, which are highly non-traditional and use sound in very different ways to traditional orchestral arrangement, may sound quite strange and, to an audience familiar with popular music quite strange, they were written in 1959 and 1966 respectively. These innovative works are now in their middle-age. They are unusual works, certainly, and a number of you will peer at your speakers one they start playing but… did their production lead to the rejection of the popular, classic, rock or folk music output of the 1960s? No.
We now have a lot of electronic music, synthesisers, samplers, software-driven music software, but we still have musicians. It’s hard to measure the numbers (this link is very good) but electronic systems have allowed us to greatly increase the number of composers although we seem to be seeing a slow drop in the number of musicians. In many ways, the electronic revolution has allowed more people to perform because your band can be (for some purposes) a band in a box. Jazz is a different beast, of course, as is classical, due to the level of training and study required. Jazz improvisation is a hard problem (you can find papers on it from 2009 onwards and now buy a so-so jazz improviser for your iPad) and hard problems with high variability are not easy to solve, even computationally.
So the increased portability of music via electronic means has an impact in some areas such as percussion, pop, rock, and electronic (duh) but it doesn’t replace the things where humans shine and, right now, a trained listener is going to know the difference.
I have some of these gadgets in my own (tiny) studio and they’re beautiful. They’re not as good as having the London Symphony Orchestra in your back room but they let me create, compose and put together pleasant sounding things. A small collection of beautiful machines make my life better by helping me to create.
Now think about growing older. About losing strength, balance, and muscular control. About trying to get out of bed five times before you succeed or losing your continence and having to deal with that on top of everything else.
Now think about a beautiful machine that is relatively smart. It is tuned to wrap itself gently around your limbs and body to support you, to help you keep muscle tone safely, to stop you from falling over, to be able to walk at full speed, to take you home when you’re lost and with a few controlling aspects to allow you to say when and where you go to the bathroom.
Isn’t that machine helping you to be yourself, rather than trapping you in the decaying organic machine that served you well until your telomerase ran out?
Think about quiet roads with 5% of the current traffic, where self-driving cars move from point to point and charge themselves in between journeys, where you can sit and read or work as you travel to and from the places you want to go, where there are no traffic lights most of the time because there is just a neat dance between aware vehicles, where bad weather conditions means everyone slows down or even deliberately link up with shock absorbent bumper systems to ensure maximum road holding.
Which of these scenarios stops you being human? Do any of them stop you thinking? Some of you will still want to drive and I suppose that there could be roads set aside for people who insisted upon maintaining their cars but be prepared to pay for the additional insurance costs and public risk. From this article, and the enclosed U Texas report, if only 10% of the cars on the road were autonomous, reduced injuries and reclaimed time and fuel would save $37 billion a year. At 90%, it’s almost $450 billion a year. The Word Food Programme estimates that $3.2 billion would feed the 66,000,000 hungry school-aged children in the world. A 90% autonomous vehicle rate in the US alone could probably feed the world. And that’s a side benefit. We’re talking about a massive reduction in accidents due to human error because (ta-dahh) no human control.
Most of us don’t actually drive our cars. They spend 5% of their time on the road, during which time we are stuck behind other people, breathing fumes and unable to do anything else. What we think about as the pleasurable experience of driving is not the majority experience for most drivers. It’s ripe for automation and, almost every way you slice it, it’s better for the individual and for society as a whole.
But we are always scared of the unknown. There’s a reason that the demons of myth used to live in caves and under ground and come out at night. We hate the dark because we can’t see what’s going on. But increased machine autonomy, towards machine intelligence, doesn’t have to mean that we create monsters that want to destroy us. The far more likely outcome is a group of beautiful machines that make it easier and better for us to enjoy our lives and to have more time to be human.
We are not competing for food – machines don’t eat. We are not competing for space – machines are far more concentrated than we are. We are not even competing for energy – machines can operate in more hostile ranges than we can and are far more suited for direct hook-up to solar and wind power, with no intermediate feeding stage.
We don’t have to be in opposition unless we build machines that are as scared of the unknown as we are. We don’t have to be scared of something that might be as smart as we are.
If we can get it right, we stand to benefit greatly from the rise of the beautiful machine. But we’re not going to do that by starting from a basis of fear. That’s why I told you about that student. She’d realised that our older way of thinking about something was based on a fear of losing control when, if we handed over control properly, we would be able to achieve something very, very valuable.