This article about the future of universities first appeared in Times Higher Education and can be found here. If you're doing a PhD there's a fair chance that you are thinking of working in a university. If so, read on ...
Bank
tellers, hotel receptionists and assembly line workers might eventually be
replaced by technology because their roles are structured and repetitive in
nature. For academics there is the reassurance that teaching, grading
assignments and undertaking research require the services of a living,
breathing academic. A permanent position
is still just that, isn’t it?
In 2016, Ashok
Goel of Georgia Institute for Technology introduced a new member of his
teaching team called Jill Watson. Students loved Jill. She would
answer questions quickly, politely and with the occasional jaunty “yep!”. She
would occasionally say something odd but don’t we all? Since Goel didn’t
initially tell his students that Jill was in fact an AI system he was forced to
add a short delay to her responses. Otherwise her students might notice how
much quicker she was at answering questions, even in the middle of the night.
Jill Watson’s
status as a teaching assistant should sound a salutary note for those of us in
higher education. There is widespread acceptance that human jobs will be lost
to technology. For understandable
reasons we convince ourselves that the axe will fall elsewhere and will fall
gradually. Perhaps this optimism bias flows from a tendency to focus on the
nuance and subtlety of what we do and to disregard the monotonous regularity of
many aspects of our work. Recently I met a board member from one of the world’s
largest technology firms who confidently predicted that innovations such as AI
would mean that higher education would be unrecognisable within a decade. S/he
might be wrong, but as robots, and the underlying technology of artificial
intelligence (AI), improve, academia seems ripe reinvention. Just consider that by 2020, it is predicted
that the numbers of students in higher education in China and India combined
will have breached 60 million. A booming sector combined with the potential for
technological disruption has left some UK university leaders feeling anxious,
with the annual PA Consulting report on Vice-Chancellor sentiments suggesting
that the sector could be facing a stormy period.
In terms of
both the structure of our industry and the underpinning assumptions we make
about models of delivery, such stormy conditions demand a rethink. Edward Peck recently argued that the UK needs to
move beyond a familiar but outmoded hierarchy of universities to celebrate more
fully the achievements of our teaching intensive, research active universities.
Many of our post-92 universities have made significant strides in
infrastructure, pedagogy and widening access, yet Peck notes that they still
lack the cache of elite Russell Group universities. A diverse sector comprising different mission
groups pursuing different audiences might, of course, be an indicator that our HE
ecosystem is in rude health. Yet collectively, the strategic plans of UK
universities are focused on growth underpinned by significant financial
commitments to new and shiny buildings which largely reinforce traditional
ideas about lecture theatres and laboratories.
UK universities
offer success stories in both importing and exporting. International student
recruitment has been challenging given the policy context but significant
numbers of applicants still want to study here. Matching this inflow are growing numbers of transnational
arrangements and overseas campus locations where UK universities are exporting
to the world. What we haven’t seen yet
are global brand names setting up in earnest in our own back yard. There’s an
awareness that this might happen and a recognition of the threat that more private
provision might represent, but little concrete action to address this. Maybe UK Vice-Chancellors are right to be a
little worried but those outwith the sector see huge opportunities to deploy AI
in ways which personalise learning economically and at scale.
On any
given day, in subjects such as business, engineering and mathematics, there are
probably hundreds of academics teaching roughly the same material to hundreds
of roughly similar groups of students in lecture theatres around the globe. Universities
aren’t well positioned to dominate the market for the learning materials being
used because no university wants to adopt a competitor’s intellectual property. Corporates however, might plausibly find ways
to licence the Jill Watsons of the near term future. Several blue chip giants
have both resources and insights (drawn from a sea of user data drawn from both
staff and students) and would be well placed to offer lower cost, engaging,
personal and efficient learning experiences.
There are
both institutional and individual consequences of this line of thinking. Institutionally,
universities need to consider their long term plans in the face of short term
uncertainty. New buildings and high
quality academic staff are currently the mainstay of our answer to the question
“why study with us?” Whether the new buildings and the wonderful staff remain
as compelling when remote study, supported by AI / Bots offers similar
knowledge at a tiny fraction of the cost is open to question. Indeed, it is a
question that charitable bodies such as the Bill and Melinda Gates Foundation
are asking. As individual academics then, we need to ask a more Machiavellian
question. What can we do that AI cannot ?
When it
comes to imparting knowledge, Jill Watson has already shown that AI is
reasonably sophisticated in the role of teaching assistant. Tutors may therefore attain endangered
species status in all but the Oxbridge model of individual attention. In the
lecture theatres however (whether real or virtual), academics need to focus on
the things that AI cannot handle. There’s a reason that many stand-up comedians
ask members of the audience “and what do you do for a living?” early in their
show. They’re not playing for time.
Rather, they’re setting up the opportunity to improvise around some established
material. Connecting pre-set gags to spontaneous observations about Joyce the
plumber or Joe from accounts makes the room come alive. The ticket money seems
worthwhile because you are watching a performance that is very much “in the
moment”. The jeopardy of this crowd work and the concomitant risk of being
heckled piques the audience’s interest. Skilled comedians then use callbacks to
reincorporate earlier observations to produce an effect that is both cumulative
and bespoke to this show, this evening and this place. Perhaps the future for academics is to
embrace the support that AI teaching assistants can offer us outwith the
classroom whilst feverishly working to develop the performative aspects of our
lecturing. Video capture and podcasting are all very well, but they aren’t live
theatre.