Cracking the code for employment

I wrote this post after reading one too many articles about how coding is the skill that leads to a job. It’s a skill all right, and a useful one, but will it definitely lead to a job? We return again to the “purpose” of learning, or of education – and because of context so many people are fixated on seeking the magic formula for employment, and other factors are diminished. We also lose sight of the process by which people actually do end up with meaningful employment. Here is a link to the original post, from January 13, 2012:Cracking the code for unemployment .

The question of whether postsecondary education is a good investment, of whether the “risk” is too much or if it is “worth it,” is one generally framed in terms of economic value now that PSE credentials have become ever more expensive and necessary for larger numbers of people.

Of course the correlation is there — I’d be the last one to deny it; graduates of PSE programs earn more over their lifetimes and are more likely to advance in their careers than those without such credentials. But how exactly does the correlation map out in practice? How do postsecondary graduates actually find and obtain jobs? How do they build their careers? And what image of this journey are we projecting, in the media and in classrooms? How are students being encouraged to make the connection between education and employment, and what are the consequences of that?

These are difficult questions because they relate to process: what happens between the point at which a student begins a degree and the time it is completed, such that somehow a student can obtain employment later?

Heavily emphasizing or highlighting certain skill sets, courses and degree programs because they are more highly correlated with employment is a bad idea because job markets can shift rapidly, and also because it places the skill or knowledge base outside of its larger context. As a small example, in this article the skill of computer coding is described as something that can “get you a job.” But stating this, alongside average hourly wages for computer programmers, is to present what looks like an overly simplistic equation. Who finds work that involves coding, and what is its use? How much experience, and of what kind, is required? How does coding fit into a larger skill set in a way that would help a candidate to “stand out” in a large pool of applicants?

Focusing on the university-to-job correlation without a balance of attention to process can mean that we place less value and emphasis on looking for other ways to build careers. And it means reducing the attention we pay to extra-educational factors, not only the enthusiasm, energy, talent, and work ethic that one may or may not bring to one’s education but also the privilege or lack of it, the social and cultural capital, and the many other factors that can be beyond the scope of one’s education-to-career planning.

There are no short cuts and no easy plans — no easy mapping of knowledge to employment, now that overcrowding plagues even formerly stable professions such as teaching and law. To imply that there is ever really a “guarantee” from a degree is to lead students down the garden path; it raises unrealistic expectations and re-inscribes unhelpful assumptions.

Even the availability of a degree-related job doesn’t guarantee one’s career pick. I recall about two years ago I met a young Belgian man at the hostel where I was staying in Picton, New Zealand, and by coincidence we ended up taking the same early morning ferry back to Wellington together. He came from a well-educated family, and had gone to university at 18 to become a doctor, as his parents expected. But now in his early 20s, having just completed his medical training, he seemed at a loss. He didn’t want to practice medicine, though he’d earned the credential; he’d done it not because he desired to use his time and talents in that field, but because it was just the next thing to do. I thought it was interesting that he had obtained a desirable professional degree but was now at loose ends, not even because of the job market but because of his own lack of direction outside of the university program.

Among other things, knowing yourself — your own capacity, your predilections, strengths and weaknesses and how you learn and think and function in different environments — is extremely important for making the decisions that lead to a career. There is little point in cobbling together a random kit of recommended skills if you have no real interest in those skills or in the things they enable you to do; you might find a job, but I think it’s unlikely that the recipe for employment will turn out the way you planned. Even an economic assessment of a possible career path must take non-economic, less tangible factors into account if it is to prove of any worth.

PhD education and mental health: A follow-up

In December, 2011, I wrote a blog post about PhD students and metal health as a major issue in graduate education. The post below is one that I wrote to build on the many issues that came out of discussions generated by that first piece. Here is a link to the original post from January 3, 2012: PhD education and mental health: A follow-up.

As my first post for 2012, I want to provide a bit of a follow-up to my previous piece about PhD students and mental health issues.

Though I always had the sense there was a problem with mental health in grad school and especially during the PhD, I was still surprised by the intense reaction to my post. As I write this, there are 38 comments (not counting the one I left myself). Some of these comments are very moving and all of them are refreshingly honest, and I’m extremely thankful that so many of you shared your experiences and insights. Throughout this post I will link to your comments directly.

Through Twitter, Facebook, and the comments on my post, many relevant points were raised. Some people discussed an assumed “ideal” for PhD students, and a sense of guilt and self-doubt they felt when they “failed” to live up to this, which in turn can be exacerbated by the isolation of the process and by the apparent lack of structure in advanced academic work. Others mentioned the persistently gendered (masculine) nature of the scholarly ideal, with women being affected by systemic biases that implicate them differently in academic work as well as in parenthood and family life. Bumblebee wrote that the effect of PhD problems on intimate relationships could be disastrous, particularly without institutional support.

I focused on some of the structural issues in PhD education because I think they contribute to a “pluralistic ignorance” — the fact that a student may believe that she is the only one with a problem, and blame herself for it as well, even while others are experiencing the same thing. Several people commented that compounded by insecurity and isolation, the lack of acknowledgment of and open discussion about depression and mental health issues — the “silence” associated with stigma — is actually the most significant problem because it prevents students from seeking help either from the university or from their peers.

Another effect of silence is that prospective students cannot necessarily make an informed decision about whether to enter a PhD program at the outset (and which program and supervisor to choose). Marketization of higher education is problematic because it encourages institutions to persuade students to enroll rather than informing them about their “best fit” for the program or department. A PhD program tends to be a “black box” in terms of information about problematic aspects of the course and/or the negative experiences of students. This is only compounded by not asking students who leave about the reasons for their departure (reasons that are not always negative—as noted by Alex O).

In another comment, Lil makes the crucial point that accessing support services on campuses can be a trial in itself. Students need somewhere else to turn for support and perspective when significant academic relationships begin to turn sour. But it can take time — sometimes weeks — to land an appointment with a counsellor, and in some cases students will be speaking with a trainee rather than an experienced professional. Usually they will be speaking with someone who is not familiar with the PhD process and the kinds of issues that can arise during it. Often there are a limited number of appointments available to each student in a given period, and since these services tend not to be covered by available health benefits, the student may not be able to afford to go anywhere else for help. Some students may feel too uncomfortable even to seek out professional assistance, which requires a kind of self-exposure that can be off-putting.

Of course not everyone who enters a PhD program will suffer from mental health problems. Students with a lack of social and academic support and/or past histories of depression are more likely to be vulnerable (and this applies to other high-level forms of education as well). But it’s important to consider carefully the nature of academic environment and the ways in which it can affect students’ experiences, both the good and the bad. Graduate students, like all students, are not only learning but also becoming different people; they are “changed” by their experience, and this includes the psychological and the emotional as well as the academic and professional.

Many of the comments I received thanked me for being brave enough to write publicly about this issue. On the one hand it’s disturbing to me that there is such a lack of public discussion in spite of the apparent pervasiveness of the problem. Then again, if my posts can be used as a way to open the door to that discussion, then I’m happy about it indeed.

“My grief lies all within” — PhD students, depression & attrition.

I wrote this post about depression and attrition among PhD students, thinking I’d probably chosen a topic that would only be of interest to a niche audience. To my surprise it became the most popular blog post I’d written (and still is). I still think this indicates that not enough public attention has been directed to the structural elements that contribute to mental health issues among PhDs and in other student groups as well.

In a follow-up post I addressed a number of the issues that had been raised in the comments on the initial piece. These include the role of the “ideal” for and of students; insecurity and isolation; lack of information before applying for the PhD, and the difficulty of accessing resources to help with mental health issues.

The first post was republished on World.com on January 3, 2012, and a summary appeared on The Scholarly Web on the Times Higher Education UK website on January 12, 2012. Here is a link to the original piece from December 14, 2011:  My grief lies all within” — PhD students, depression & attrition.

From November to March is prime time for academic burn-out in graduate programs — I’m convinced of that. Perhaps it’s a seasonal thing; it can be easy to sink into a trough of exhaustion and stress, and not climb out of it for months. But rather than just the seasonal doldrums, my sense is that clinical depression, extreme anxiety and other mental health issues are becoming more common in graduate programs as well as in undergraduate education.

I asked one fellow student her opinion of this, and she replied, “it seems like everyone I know in academia is depressed.” On another occasion when I was very unwell, I was told that “everyone” has some kind of breakdown during the PhD; my troubles were nothing to worry about!

Is this a serious structural (and normalized) issue rather than an anecdotal one, and if so, why is no one discussing it? When I sampled the Twitterverse, I received many replies reinforcing and elaborating the impression that yes, this is a problem — perhaps now more than ever — and that it can’t be reduced to students’ individual propensities and “weaknesses.”

In the current context, there are plenty of structural issues that contribute to the PhD as a time when students are vulnerable to stress.

Within their programs, students face a more intense workload than in their undergraduate degrees, and they may for the first time be around students with as much academic aptitude as themselves. These factors can contribute to “imposter syndrome,” the sense that one is about to be “found out” for not really being smart enough. As adults being placed in a subordinate position, some PhD students experience a sense of infantilization alongside the conflicting expectation that they develop a professional identity.

In terms of the student’s academic experience, the PhD emphasizes a transition to autonomous work that is often a new challenge. The lack of structure, and unclear boundaries about responsibilities, mean that some students are unsure what help they “can” ask for from supervisors. This is compounded by the lengthy isolation from peers that often occurs in the later stages of research (in the humanities and social sciences at least).

Career-related pressures in academe have intensified in the face of recession and long-term political economic changes that have affected the university and its governance. Graduate programs in Canada and elsewhere have increased enrollments often without proportional increases to the tenured faculty who provide supervision, or to non-repayable funding. The shortage of funding can lead to student debt and other financial difficulties as well as more intense competition for grants and teaching positions, and pressure to “complete” sooner. Fewer tenured faculty means that students may need to compete for academic mentorship and support as well. And all these changes have helped to feed further competition in the form of a tightened market for academic (i.e. tenure-track faculty) jobs; this kind of competition can be depressing and stressful.

While only a relatively small proportion of PhD graduates obtain permanent faculty positions, in many PhD programs there is still a deeply-held assumption that students can or should strive to engage in research-oriented academic careers. Thus the definition of successtends to be rather narrow, making it easier to feel like a “failure.”

The culture of academic replication — the inculcation of certain academic goals above all others, in spite the “reality” of the larger job market for PhDs — has been roundly criticized, even compared to a cult. Taking on an awkward double stance, many students are engaging in a process of translation and re-valuation of themselves and their work that continues until long after the degree is over; some must overcome a long-held sense of exceptionalism with regards to their academic chances.

And of course, alongside the professional pressures there are also the so-called “personal” issues and events that affect everyone, and which can throw one’s entire degree (and life) off-track if they occur — a break up or divorce, for example, which can itself result from relationship problems triggered by the academic lifestyle.

A larger problem is not only the context described above (and its effects), but also the thickly oppressive silence that surrounds it. Not coincidentally, I think, there is a parallel silence around the issue of attrition. Considering the high rate of attrition from PhD programs and the cost of graduate education, you’d assume there would be a plenty of research on the reasons why students “drop out.” But according to Chris Golde (2000) we still don’t have much information on why students leave PhD programs, partly because PhD attrition “looks bad” for everyone involved (responsibility for this “failure” is usually transferred to the student). I wonder how many students simply leave due to mental health and related issues brought on or exacerbated by the psychological minefield of the PhD process — and how much of this is preventable.

Invention vs. innovation – Edison meets Tesla?

We hear the word “innovation” regularly in discussions about the role of universities, and in particular in Canada where there is said to be an “innovation gap” in the economy. Building on a previous piece, in the following post I raise the rivalry between Edison and Tesla, since those two figures are oft-cited in the discussion of how scientific advances happen and how they’re turned into commercial success. Here is a link to the original post, from November 28, 2011: Invention vs. innovation – Edison meets Tesla?

After the post I wrote recently about innovation, I noticed that yet more articles have been popping up in the wake of the report I was discussing, including this one by Tom Jenkins who was part of the team that produced the report.

Then as I listening to Radio NZ recently, I heard a BBC history segment on the relationship between Edison and Tesla, and some of Tesla’s attitudes made me think of the way Edison’s example is invoked by Jenkins both in the report and in his article.

There is a long and complex story behind the relationship between Tesla and Edison, but suffice to say that after one of their conflicts Tesla ended up digging ditches for a while. In any case, Tesla apparently regarded Edison as a mere tinkerer, someone who purchased, and marginally improved on, the things others had created. Tesla’s assessment may have been drawing a line between discovery and invention, rather than between invention and innovation. Edison pioneered a kind of production-line process using many assistants; he also raised capital before embarking on a venture (sound familiar?).

From this description it seems to me that Edison was an entrepreneur, while Tesla was more of a scientist. And in the end, Tesla’s work is still with us, in spite of Edison’s PR campaign against him during the “War of Currents.” Politics was indeed at play.

Roger Martin, dean of the University of Toronto’s Rotman School of Management, has also chimed in on the innovation issue, with an article about Steve Jobs as consummate “innovator.” Martin also argued earlier this year that SSHRC had shortchanged MBA students by not offering them designated funding (even though this is not how it works for other disciplines; and MBAs don’t usually do academic research). Clearly the arguments about “innovation” are also arguments about resource distribution. Policies have been critiqued as failing, but this isn’t enough for advocates to leave off asking for government funding and planning of R&D.

James Colliander, a math professor at U of T, has responded with a blog post in which he argues that the point about Steve Jobs is off the mark, since rather than producing original scientific or technological advances, Jobs produced original synthesis and design.

So it seems we’re still stuck on the notion of innovation as a means of producing marketable objects and processes, or so I gather from quotes like this one (from Martin): “commercial success and impact is more about innovation than about invention.” While this “is typically the product of the curiosity of a scientist”, “it can be pretty irrelevant when it is a technology in search of a user.”

It’s interesting to see, over in the UK, inventor and entrepreneur James Dyson is funding a new professorship at Cambridge. Dyson is arguing that even when we don’t know where research is going, it’s important to invest in it, especially when the government is cutting back. It may seem like a shame we live in an era when the noblesse oblige of large corporations and private foundations is what we must rely on. But at the same time, government intervention as a primary mobiliser of science and technology is relatively new in history, and discovery and innovation have not usually occurred in just one isolated environment.

Arnold Pacey argues in his book The Maze of Ingenuity that the environments in which scientific discovery and innovation take place are those where there is generally more than merely a monetary motivation for the great scientific discoveries of the past; such environments were also sheltered from full exposure to market forces. So somehow science must always be “protected” both from the market and also (Dyson’s view) from undue political intervention, which itself is now linked directly to economic development.

I would argue that it’s not a question of whether scientists, business, or the government are good at “picking winners.” The issue of needing to pick a “winner” at all is the problem. I’ve quoted James Burke more than once in some of my previous blog posts (including the last one!), but here he is again, discussing the unpredictable and non-linear nature of “discovery.” I still question the use of these definitions of terms and the narratives they’re being used to construct, which are split along the old lines — applied, theoretical; practical, “speculative;” and so on. What would be truly “innovative” to me would be a change to the discussion so that these definitions were no longer the only categories available.

The aims of education?

Sometimes (well, often) when we engage in debates about education, we take for granted the ways in which underlying concepts provide a basis for assumptions about education’s purpose – and thus a framing for the discussion. In this post I discussed the critiques of education that we often see in media coverage and political argumentation, and how education is perpetually “failing” because it’s assigned a task that can never be complete. Here is a link to the original post from November 18, 2011: The aims of education?

Something that characterises education, as a practice and as a discipline, is the constant stream of public critiques levelled at education systems, educators, administrators, parents, researchers, and on and on — by each other and also by those not immediately involved in education. This kind of sustained contentiousness is not the same as the assumed trajectory of “progress” in which one theory or practice trumps another after a time, such as generally happens in other academic and professional fields. Education is distinctive not only because the critiques come from many different groups and are very highly politicised, fracturing and emotionally fraught, but also because the same kinds of theories, remedies, assumptions and attacks seem to be repeated over time in an almost cyclical fashion, which is both fascinating and deeply troubling.

I’ve been considering this again recently, after I began reading Kieran Egan’s book The Future of Education. Egan describes a version of the long-term conflict over education in chapter 2 of the book, where he argues that over time the same few strands of argument have underpinned most debates about education, its theory and its practice. Because the existing arguments assume contradictory purposes for education, there are perpetual problems with reconciling the many demands being placed on education systems over time.

Following the path of “unpacking” education’s assumed purpose rapidly leads us to some deep and difficult questions, the answers to which reflect our most basic assumptions about who we are, how our minds work, and what kind of world we should live in. What is “knowledge”, and how do we acquire it? Do we begin life with minds that are “blank slates”, ready to be inscribed with culture, or are we biologically determined to behave the way we do? Should education be elitist, cultivating only the “best minds”, or equitable, offering a fair chance to everyone? Should educational methods employ rational discipline, or give students total freedom? Should learning be about memorising facts, or understanding broader ideas and theories; should it be standardised, or individualised?

Education in the present is perpetually concerned with the future, which may explain the comparative lack of emphasis on the study of education history. There is another cause for conflict here, because our assumptions about education involve the fundamental dream of shaping and controlling the future, of providing a form of certainty in an uncertain world. Education becomes a means of realising desires for the future, for individuals as well as for states and societies. This is why education is so vehemently contested; because they who can make a claim to control the future, to show that their version of the future will be better, can make a claim to power. The close relationship between education and governance lies here, where prediction lays claim to political authority.

Perversely, education’s full effects are unseen until the future, which is why the “impact” of education is so hard to measure. And yet we continue to try to do so, because of the idea that the (potential of the) future should somehow be demonstrable in particular ways, in the present. This is a heavy demand; not only is learning simultaneously an individual/subjective and a social phenomenon, but its effects are not “complete”, nor fully visible in the present. The time of learning continues even when the time of assessment is over. For this reason the measurement of learning is one of the biggest stumbling blocks in education governance, even as governmental and public desire for certainty — validated by numbers — increases.

The task of education is never complete. Criticisms continue in perpetuity because education never achieves the aims and goals set out for it, which appear to be a series of moving targets that multiply as oppositional viewpoints battle it out in the spheres of policy and public debate. Education has never “succeeded” because we have not yet had a utopia by anyone’s definition, and because there are some problems that simply defy the remedy supposedly provided (the mitigation of capitalism’s negative effects by literate democracy is one that comes to mind). All this is not to say that we should be losing hope or giving up on some idea of education as a good thing, as important. My view is not one of cynicism. Rather, I’m keen to know and understand the past and in what ways we may be unconsciously reiterating historical problems in the present; my hope is that we can somehow avoid perpetuating what we continue to critique.

Word watching

For this post at University of Venus blog, I discussed my academic background in communication studies and linguistics. It’s a bit of a reminder that I tend to automatically kick into language-analysis mode, without realising what I’m doing – but that can be a good thing, since I end up not taking the terms for granted. Here is a link to the original post, from November 15, 2011: Word watching.

Often when writing blog posts or papers, I end up dissecting not just a policy or educational issue but also the specific terms in which it is being described and discussed. I start to pick apart the terms and limits of the discussion alongside my engagement with the argument. Far from being a quirky habit, this kind of attention to language is a key element of much of the work I do.

My fascination with language use emerged partly from an early interest in media representations and the ways in which they could obfuscate what seemed like “real life”. Why did the language in the news not “match” the things I had experienced or read about elsewhere? Could language be “hiding” something? If so, what was being hidden and how? I became fascinated with propaganda, mediation, and ideology, my curiosity piqued by the immediate context of the 9/11 attacks and the second Iraq war.

Later after returning to university, I learned about critical theories of communication and linguistics. LinguistNorman Fairclough emphasizes that language use involves conscious as well as unconscious choices, and plays a role in the maintenance of social structures and power relations. Foucaults ideas highlighted the larger formations into which institutional practices and everyday exchanges of words might coalesce over time. Marshall McLuhan and Harold Innis focused on technologies of communication and their effects on the nature of what is communicated.

As well as learning the content of the curriculum, I began to understand what was constraining it:  the context of the institution (the university). I became interested in the relationships between pedagogy, communication, and governance, which led to my research focus on language and institutional change. Universities were employing forms of “strategic planning”, borrowing from the realm of management science. These forms tend to assume a need for change not only to the practices of the institution but also to its culture, and I wanted to examine the role of language and discourse in this re-formation.

The study of language raises deeper questions about reality, agency, and knowledge. To me the way language is used is very important, but not in a rigidly determinist way. I don’t believe that words precede thought or determine the limits of thought, or that words can dictate to us what to think. Neither do I agree with the idea that all reality is socially constructed. If any one thing characterizes all language and language use, it is their inherent complexity. This was part of what drew me to study the way language works in social life. Language is reflexive, not merely reflective or constructive; while it re-presents (aspects of) our reality it also has an effect on that reality, given the way we act on our attitudes and beliefs.

When a word is used over and over without a definition being provided, there is an assumption being made. Assumptions are always necessary in language—this is how we can agree on the meanings of words without having to re-define them every time we have a conversation. But consider how many words we use regularly without necessarily having more than a limited, functional grasp of their meanings; words like knowledge, discovery, creativity, innovation. These words are embedded in policy documents as well as in the everyday language of people participating in academic institutions. They’re the same, often nebulous, terms that are used to frame debates on crucial academic issues.

More specific clusters of words can come to be associated in our minds with entire programs of policy: performance, accountability, flexibility. Efficiency, evidence, choice. Each of these terms takes on a function constructed on a scaffold of presupposition; each can be identified as playing a role in a “discourse” (corporate”, managerialneoliberal). Many academics, angry and frustrated with new programs of governance, have an extremely negative reaction when these words are used. This kind of reaction tells us something about the depth of inter-connection between our language, our experiences in the world, and our emotions.

Hence the struggle over language—it can define the evident parameters of a debate, helping to exclude or minimize facts, experiences and viewpoints that don’t fit with a preferred version of events. As Fairclough(1989) reminds us, language use is a choice, whether conscious or unconscious, and abstractions are usually realized in specific material ways. Critical awareness of language means never taking for granted the terms of the discussion, or the ways in which those terms will be translated to help produce –or stymie—versions of change.

 

Contemplation of innovation

This post takes a look at the report produced by a government panel led by Tom Jenkins, placing the report in the context of decades of Canadian government policy and critiques about “lack of innovation” and the low level of research done by Canadian industry. Here is a link to the original post from October 31, 2011: Contemplation of innovation.

A new panel on research and development (R&D) and innovation led by Tom Jenkins, executive chairman of OpenText Corp., has produced a report entitled “Innovation Canada: A call to action.” The 6-member panel has recommended “a radical overhaul that includes the creation of a new funding council and transforms the country’s largest research entity, the billion dollar National Research Council.”

I think the report is interesting not only because of its potential influence on changes to the Canadian research landscape, but also because what’s being reiterated is in many ways the same story that has been told about Canadian R&D for over 50 years.

The evident goal of the panel’s proposals is to facilitate the “triple helix” of university-industry-government relations (Benner & Sandström, 2000Etzkowitz & Leydesdorff, 2000). One example is the recommended creation of an Industrial Research and Innovation Council, which “would be an arm’s-length funding agency to help entrepreneurs bring ideas to the marketplace.” So the report fits well with the federal government’s Science and Technology (S&T) policy document from 2007, which takes as its aim the construction of a Canadian knowledge infrastructure that integrates creation of human capital (i.e. a well-trained workforce) with the production of “innovation” through links between academic and business stakeholders.

Of course, the concept of “innovation” is imagined and translated in very specific ways. Peter MacKinnon invokes this logic when he states, “innovation drives productivity growth, which in turn enables Canada to compete globally and maintain our standard of living.” For this reason the “innovation problem” becomes a thorn in Canada’s side, and is by now taken as a given. What’s also a given is that the conversation about innovation continues, even in a self-conscious manner, without policy ever “solving” Canada’s problem. Canada does not “innovate”; its businesses do not invest in R&D, and its research institutes and universities fail to collaborate with industry. Therefore Canada will always fall behind its competitors.

Similar threads of critique have continued through decades of panels, commissions, and reports, some of them government-sponsored and others externally produced by universities, companies, and think-tanks. Past examples include the Glassco Commission of 1962, which criticized the NRC for lack of R&D collaboration with industry (Dufour & de la Mothe, 1993, pp. 12-14), and the Lamontaigne Commission of 1967-1977 which advocated for “permanent steps [to] be taken to bridge the gap between the academic and industrial sectors” (1968-77, vol. 2, p. 521, cited in Atkinson-Grosjean, House & Fisher, 2001, p.13).

To me it seems there’s something of a paradox in the fact that the government is expected to provide a solution to the problem of lack of private-sector innovation. One of the perennial questions from critics is: why do companies not invest in the R&D side in Canada? Could it be the “branch-plant economy,” the historical emphasis on manufacturing and natural resources, or some flaw in the national psyche? Whatever it is, the assumed role for governments is to provide the most hospitable environment possible for private R&D activities. Which leads to another major critique — that government investments in R&D never live up to their imagined potential in Canada. The argument is epitomized in Carol Goar’s comment that “for roughly 30 years, Ottawa has been pouring taxpayers’ dollars into Canada’s “innovation gap” — and achieving precious little.” Perpetual disappointment tends to be blamed on the private sector problem, or on the government for producing poor policy or trying to alter the market.

Every “innovation” is built on incremental discovery, but the notion of “discovery” itself is one we should consider carefully. What does it mean to “discover” something? What does mean for something to be “innovative”? Innovation policy deals with the economics of knowledge, where knowledge is assumed to be something that can and should be “economized” in this way. When the word “knowledge” appears in this context it’s clear that certain kinds of knowledge are (assumed to be) more closely related to “innovation” than others. What then does it mean to “discover” something that cannot be (immediately, obviously) economized? The parallels with critiques of education and its “outcomes” are not coincidental.

These are questions I’m not equipped to answer — but I do believe that “innovation” and “knowledge,” like “creativity,” are slippery words subject to narrow interpretations when convenient. When it comes to implementation, “innovation” will no longer be a rhetorical abstraction; it will be instrumentalized in some particular way. For this reason the language of policy is important; it tells us something about the way these difficult concepts are being implicitly defined, and how they will be realized in practice.

More than a storm in a teacup – the debate on academic blogging

This was a follow-up post that I wrote (published on October 21, 2011) after a briefer article of mine on academic blogging was published in University Affairs. I wanted to get into some more of the reasons why blogging is still considered a lesser form of communication, and therefore isn’t something that usually contributes to building an academic career. Here is a link to the original post from October 21, 2011: More than a storm in a teacup – the debate on academic blogging.

Last week an article I wrote about academic blogging was published in the print and online editions of University Affairs. I decided to provide a follow-up to the article, because there were so many interesting comments from bloggers that couldn’t be included in the scope of the original post.

I also want to take time to link their points to those from another discussion over at The Guardian, involving the critique of academic publishing and the call for its reform. Many of the issues mentioned by bloggers were clearly entwined with this recent thread of criticism that targets academic journals and their business model, one that is described by its current critics as restrictive, exploitative and out-dated.

A benefit of blogging cited by most of those who commented was the development of a public profile independent of the regular channels of academic validation. This visibility tended to lead to more (and diverse) opportunities because of exposure to different audiences. Having a public “face” meant being recognizable as an expert on a particular topic, and PhD student Chris Parsons (UVic) explained that “this is important for graduate students, in particular, given that most of us lack established publishing records.” Because of his active construction of a body of “alternative” online work, Parsons has been invited to contribute to more traditional peer-reviewed publications, the accepted signifiers of academic success.

The bloggers also described using social media for professional networking and collaboration. Blogging sparked dialogues and exchanges across disciplines, facilitated by what David Phipps (of York University) describes as “enhanced reach and two-way communication,” enabling new connections that were unexpected, serendipitous, and productive. Blogs were also viewed by students as more inviting and accessible than traditional publications; UVic professor Janni Aragon discussed how students have become engaged with her online work, many of them reading and responding to her posts.

A related theme was that of the benefit of gaining access to different audiences. Academic publications are associated with specialized audiences confined not only to the academic realm but also to disciplinary areas. Professor Marie-Claire Shanahan (U of Alberta) discussed how blogging has helped her to build a research community, allowing her to “meet people with similar interests who work in different areas” and also to reach out to audiences for whom the research is relevant but who don’t normally have access to it. All the bloggers who sent me comments made mention of this relationship between development of a public profile, and the ways in which “blogging extends our ability to communicate our research beyond academic circles in an accessible and timely manner” (Alfred Hermida, UBC).

Several bloggers expressed their frustration with traditional academic publishing, including complaints that the regular publication process takes too long and that the resulting publications are inaccessible to non-academic audiences. Sharing ideas through accessible online sources is more efficient because it isn’t hindered by the gatekeeping function of peer review (part of what validates academic knowledge). Chris Parsons described how his work has been cited in “government filings, academic papers, news sites, and so forth […] none of that would have happened if I was constrained to the slow process of peer-review or forced to utilize traditional media outlets.”

The publishing model that currently dominates renders research inaccessible to the publiceven though much of the research done in universities is publicly funded, and the journals technically acquire their content for free. Parsons argues that his work “is publicly funded, so it should be available to the public” and blogging is a part of this. The current model reflectsthe concept of knowledge as a “private good” rather than a “public good” (Slaughter & Rhoades, 2004, p.28). A private-good model goes against an ethic and practice of sharing as discussed by PhD student Rebecca Hogue who explained, “I like to get my ideas out there, and by sharing them (and writing them down) they become more solid […] I hate to hold stuff back because someday it might be published.” In spite of the myth of the lone scholar, collaboration has been an essential feature of academe in the past. How does an increasingly proprietary, private model of knowledge affect collegial work?

Those academics involved in blogging are engaging with new modes of communication and new models of scholarly collaboration and research dissemination. The vehemency with which this practice is debated by bloggers and non-bloggers alike speaks to the deep roots of the issue; because academic publishing is key to professional advancement in academe, everyone has something at stake. This debate touches on the heart of the university’s mission, and what accompanies it — a continued struggle over the definition of authoritative knowledge.

Perishable goods – Universities and the measurement of educational quality

In this blog post I responded to an article in the Globe & Mail, regarding the splitting of funding for teaching and research in universities. My piece refers to the lack of adequate measures for teaching “quality” and student learning, and how this makes it impractical to attempt to link government funding to those factors, as well as the trouble with assessing “outcomes” of education in the short-term. Here is a  link to the original post, from October 11 2011: Perishable goods.

Today’s post is a response to the Globe and Mail’s October 11 editorial, Canadian universities must reform or perish. The response from my PSE friends on Twitter was provocative (the tweets can be found here on Storify); those involved in the discussion seemed to agree that while the article highlighted real and pressing problems, the analysis was awry. The issues being addressed in this article — quality, sustainability, and accountability — are relevant and important, but it’s the assumed answers to these issues that are troubling. I want to take a look at what I think are some of the implications of the argument.

One issue is that the article seems to focus on universities primarily as places of undergraduate education, whereas they’re viewed by faculty members (and administrators) as research centres as well. Professors don’t engage only in teaching, since teaching is not generally the sole mission of universities.

The article suggests that universities should train professors in pedagogy, and place more value on teaching in the tenure process; I wouldn’t argue with that. The trouble lies in the suggestion that teaching and research should be split apart and funded separately. Along with teaching-only campuses, this segregation of funding and function would further entrench an existing hierarchy — because universities and faculty members operate in a larger “market”, wherein research is given more prestige and more monetary value than teaching.

I’d argue that it’s a problem to suggest that funding for teaching should be tied to training and assessment (i.e. performance-based funding). Proposing that we fund universities by the “performance” of professors requires a reliable means of measuring this performance, and student learning is assumed to be the outcome. But a reliable measurement of student learning is like the “Holy Grail” of education research at all levels. Tests developed in the United States have provided some limited answers, but all standardised tests are somewhat fallible due to the annoyingly individualistic experience of education; tests mostly fulfill a function within systems, rather than providing real knowledge of knowledge, as it were.

While it’s possible to create systemic criteria — such as Ontario’s University Undergraduate Degree Levels Expectations (UUDLEs), for example — these measure a set of pre-defined skills determined by design, which excludes a good deal of what students may experience as well as future effects that learning may have on them.

Philosophical and practical difficulties arise from relying on measurable data in education: how do we begin to ask what numbers could show “proof” for outcomes like “critical thinking”, “creativity”, “innovation”, and “knowledge” itself? Will these measurements of  “learning outcomes” take into account student “inputs”? How will they do this? After all, education is a two-way process and not all students have the same capacities, nor do they all contribute the same amount of work.

Another related issue is that the article posits multiple, potentially conflicting goals for university education. Should the role of the university be to train workers for the knowledge economy, or to “bring the values and practices of a liberal arts and science education to the masses” — or both at once? If liberal education is the goal, then hiring more research professors, whose salaries the article refers to as a problem, is the best way to expand the system—rather than splitting teaching from research as suggested. That segregation has meant that enrollments are often expanded on the backs of part-time and contract teaching faculty who can be paid less and provided fewer or no benefits. The Globe’s editorial highlights this phenomenon without linking it to the expansion of enrollments alongside the separation of research from teaching.

The critique of current professors’ performances and salaries fails to get at the heart of a decades-old problem, mainly through an over-emphasis on the present outcomes of those long-term processes. In essence this is an individualizing critique that assumes professors who don’t want to teach, rather than 40 years of postsecondary expansion and economic change, are primarily responsible for the declining quality of undergraduate education. Yet professors don’t create provincial policy, nor do they set the limits on tuition fees, or even determine the number of students in a course. Tenure-track and tenured faculty are also juggling increased research and administration loads as competition becomes more intense. All these things have a strong effect on the environment in which teaching and learning takes place. If and when the concept of “quality” is focused on professors’ classroom performance, and on teaching and research as easily separable, then a narrow analysis — and flawed solutions — are likely to result.

Pragmatic preoccupations

I wrote the blog post below, as a re-cap from the Worldviews Pre-Conference  event on April 16th at the University of Toronto. As my example when I spoke on this panel, I discussed the media rhetoric about MOOCs and how it reflects various aspects of the current context of postsecondary education and its “crisis”. You can find the original post, from April 19 2013, at this link: Pragmatic preoccupations.

This past Tuesday afternoon I participated in another panel (‘tis the season!) about higher education, this time at the University of Toronto. The panel was part of a pre-conference event for the Worldviews Conference on Media and Higher Education, addressing how the “pragmatic agenda” is represented in media coverage of higher education. According to the event description, this agenda includes a focus on issues such as privatization of costs (and tuition fees), technological solutions to systemic problems, the “completion agenda” and job training, and emphasis on the value of STEM disciplines alongside critiques of the liberal arts. The other participants on the panel were Janice Gross Stein, Clifford Orwin, and Scott Jaschik, and the moderator was Rick Salutin. The keynote talk was given by journalist Tony Burman, formerly of Al Jazeera.

I’ve been looking forward to Worldviews because media coverage of higher education is an area in which I’ve had an interest for some time. I think this is at least in part because my undergraduate degree was in Communication Studies with a focus on mass media and linguistics. In my MA thesis I analysed university PR, and since I started my PhD I’ve done several projects involving media coverage of university-related issues such as the York University strike in 2008-2009, and the CERC announcements in 2010, and written a fewblog posts on the theme of media and academe. Aside from my interest in these issues, I also attended the last Worldviews conference and thought it was an unusually interesting mix of attendees (primarily from the media and from academe, and international in scope).

Before the event, we discussed the panel format and Mr. Salutin proposed a question in advance: “what are your frustrations and criticisms regarding media treatments of the pragmatic agenda in higher education?” The response I gave to this was that, probably because I research this area, I find oftentimes complex issues are simplified in media articles in ways that more clearly support one argument or another that is associated with some particular agenda. The way a problem is framed tends to point to a particular solution. Since so many problems seem to be framed primarily in economic terms, there is a certain reductionist logic that recurs in the discussions.

The example I raised was that of the media coverage on MOOCs. I’ve written a piece about this phenomenon already, and I’ve also been following the ongoing coverage from a variety of sources since it first exploded last year. During the panel discussion I found that while I wanted to use MOOCs as an example of media discourse, the debate drifted to the pros and cons of MOOCs and not to the way that they are talked about and positioned within existing political, economic, and institutional contexts and discourses. I think if we focus in on that positioning, there are clear connections to the most salient post-secondary “crises” of the day. This is part of why MOOCs in the abstract have become a kind of popular trope for educational change, if not in mainstream Canadian media, then certainly in the higher ed news and in a number of U.S. media sources. For example (pardon the scare quotes):

  • Emphasis on curing a problem of “scale” through technological intervention, which is presented (inaccurately) as a form of genuine accessibility;
  • Focus on “outcomes” rather than (educational) processes;
  • Metaphors of “delivery” and “production” that point to the objectification and commodification of knowledge and learning;
  • The assumption that what the university does can and should be “unbundled” for “efficiency” and “flexibility”;
  • “Value” is defined in a specific way, i.e. economically;
  • “Quality” is envisioned on market terms, e.g. “elite” professors (who efficiently deliver educational “content”  to tens of thousands of students);
  • Concomitant critiques of faculty mediocrity, particularly in terms of teaching, placed in relation to rising tuition fees;
  • Framing of higher education “crisis” and necessary radical, institutional change with metaphors of inevitability such as “avalanche”, “tsunami”, “storm” and “wave”, all of which invoke natural disasters over which people have no control, and to which they must “respond” quickly and appropriately.

Further to the MOOCs example, we can also look at the amount of “debate” driven by big name players in (ed-) tech and publishing right now, and how the agendas there can play in to the fragmentation and privatization of higher education. This rhetoric supports the strategy of commercializing and commodifying education for a larger, international “market”. In addition there have been a number of articles in the mainstream press by “thought leaders” such as Clay Shirky and Thomas Friedman, that demonstrate false analogies and hyperbolic assumptions that fit with much of what I’ve described above.

Thankfully, raising this example didn’t totally derail the rest of the discussion, though overall the panel did make me wish I had the time right now to do more research on media coverage, particularly the  “link bait” pieces that seem to be popping up with more regularity these days (such as the recent “don’t do a PhD” article in Slate, and last year’s Forbes article describing faculty work as relaxing). These provide us with another example of how important issues can be hijacked in the name of raising an angry response that generates pageviews – in other words, the changing political economy of the media interacts with the context of higher education and influences how it’s talked about and understood. I think that’s a good reason for us to pay attention to that relationship and to the kinds of talk it produces.