It is another academic year, and recent reports have helped
kick off its start with analysis and introspection regarding the state of
university and college education in Canada.
There is the OECD international compendium of indicators titled Education
at a Glance 2025 which covers all aspects of education including
post-secondary or tertiary education.
Then there is Alex Usher’s Higher Education Strategy Associates
compilation The
State of Postsecondary Education in Canada 2025. And last but certainly not
least there is the Royal Bank’s ominously titled Testing
Times Fending off a crisis in Canadian postsecondary education. There is
indeed quite a bit of reading here geared towards understanding the current
situation with respect to postsecondary education in Canada and other parts of
the world.
Canada boasts a highly skilled and well-educated population
with 63 percent of population aged 15 to 64 holding some type of post-secondary
or tertiary degree attainment. However, in terms of the distribution of those
degrees, Canada ranks 26th out of 41 OECD countries, in the share of
25–34-year-olds with master’s degrees.
Meanwhile, Canada is unique in that it boasts the
largest proportion in the OECD – one quarter – of degrees being what they
term short-cycle degrees. These are
programmes usually offered by community colleges and similar educational
institutions, of at least two years duration, and are vocationally oriented. While there is often a lament that Canada
needs more skills and career-based training, it appears that a large proportion
of the system is indeed geared that way.
On the surface, the demand for post-secondary education in
Canada should grow in coming years based on demographic projections showing the
total number of individuals aged 15
to 19 and 20
to 24 growing until at least the mid 2030s, then levelling off or declining
for a few years before resuming substantial growth. Recall that the 15-19 population pool was
shrinking during the 2010 to 2020 period though increases in participation
rates combined with the flow of international students helped grow university
enrolment.
However, when it comes to public sector spending on tertiary
education, Canada is below the OECD average n USD per capita. Government expenditure on post-secondary in
Canada amounts to USD 13,684 per tertiary student compared to the OECD average
of USD 15,102. And, as noted by Alex
Usher, spending on higher education as a share of the economy in Canada has
been dropping pretty steadily since 2011.
So, there are challenges facing Canadian postsecondary
education spanning financial, technological and social levels. The financial challenge to post-secondary
institutions in Canada is quite serious and has been aggravated by provincial
and federal policies. In Ontario, for
example, university tuition for domestic students was cut by 10 percent in 2018
by the Ford government and has been frozen at that nominal level ever
since. Indeed, the RBC Testing Times
report notes that most undergraduates in Canada are paying approximately what
they would have paid a decade ago. Universities
made up a lot of the revenue by admitting more international students, but that
tap has been cut off too by changes in federal immigration policies. Going forward universities will face tighter
revenue circumstances accompanied by rising costs. After all, inflation has not just hit
individuals, but institutions also.
The RBC report notes that post-secondary education and
skills they impart are vital to the dealing with the economic changes facing
Canada but add that: “Without a new financial arrangement, institutions are
forced to make decisions with their viability in mind, rather than the
country’s prosperity. These decisions will have important implications for
education quality and access, especially in rural communities where workforce
shortages are already acute, as well as the country’s ability to retain top
talent”. They suggest boosting government funding to the post-secondary
sector tied to specific criteria or outcomes.
As well, they think student fees – that is – tuition could play a
greater role.
However, the financial challenge is only the tip of the
iceberg given that there are more serious existential challenges: technological
and social which are both intertwined with AI.
The rise of AI in the short term
is posing challenges to how classes are taught and students graded and assessed
but in the longer run will affect the demand for university and college
education as well as its role in shaping society. As an article by Ryan Craig in Forbes argued,
AI will likely shrink
the university given its potential for personalized learning and independent
tutoring.
More optimistic but not any less transformative, Nick
Ladny (also in Forbes) makes the case for the end of college as we know it
with AI facilitating customized corporate education, transforming the role of
faculty into mentors facilitating human interaction rather than purveyors of
knowledge, more decentralized neighborhood campuses, and smartphone provision
of education. Those institutions that
adapt quickly to the new reality will survive while others will simply
close. Nimbleness is key to dealing with
change and universities in general tend to move slowly.
However, universities and colleges have faced the onslaught
of change before and yet here they still are.
I think the next decade will see a major sorting of universities into
those that successfully adopt and transition to the world of AI education and
those that do not. There will likely be
changes in the types of courses and programs taught given that AI can do much
more so much more quickly and effectively.
There will need to be new skill sets that involve the application of
technology and AI tools to analyzing, interpreting and solving human
problems. Some jobs that right now are
performed by skilled professionals such as accountants, lawyers and even
physicians, can be automated by AI. On
the other hand, asking the right questions and interpreting the answers will be
a skill that AI with its tendency to essentially compile and regurgitate what
exists or apply set algorithms to data will not be able to perform as
effectively as a creative and intelligent human. This suggests that the teaching roles and
administrative functioning of the university are likely to see the biggest
changes from AI while the research function can be transformed in more positive
ways.
When I think of my own discipline of Economics, I think
posing interesting research questions and devising approaches to their solution
via theory will remain a human endeavor, but the compilation of facts and
rudimentary processing of data will be largely automated by AI. A well-trained
economist with a wealth of theoretical and empirical knowledge will be able to
harness AI to do creative things whether it is modelling long-term business
cycle fluctuations or assessing the full quantitative impact of economic and
social variables in economic history.
On the other hand, AI can do more mundane things like model
the economic impact of a construction project or a value of life calculation
resulting to a significant drop in the demand for many economic consulting
services. In the long run, this will
likely make the economics profession and indeed many others smaller and more
elitist in their structure. Economists
will set directions and design the questions and validate the results with much
of the menial mental and data grind done by AI.
In the end, universities will not disappear. They will evolve into on and off ramps on the
information highway rather than destinations in and of themselves. They will also retain valuable social
functions in terms of providing a human social environment for the young to
learn how to function in this new economy and to develop human relation and
networking skills. Faculty will still be required to mentor and guide and set
directions but there will be fewer of them.
And, as AI is very good at automating routine things, most university
administrations will likely see significant downsizing as human resources,
payroll and even basic academic advising and student services can be automated.
It will indeed be a new age, but successful universities will seize opportunity,
evolve, and persevere rooted as they are in the depths of the past but continuing to the end of the human age.