Tag: Innovative

  • AI as an Educational Ally: Innovative Strategies for Classroom Integration – Faculty Focus

    AI as an Educational Ally: Innovative Strategies for Classroom Integration – Faculty Focus

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  • “Anything Can Be Done With Anything”: Innovative Universities with Dara Melnyk

    “Anything Can Be Done With Anything”: Innovative Universities with Dara Melnyk

    There’s an old joke about innovation in higher education.  It goes like this:  How many universities does it take to screw in a lightbulb.  Change

    Maybe that’s a bit unfair, but it’s unquestionable that the sector isn’t famed for welcoming change, in particular radical change.  One particular aspect is what is called isomorphism – the tendency of all institutions to look the same because they are copying some “ideal” model university (think Harvard or Oxford); indeed, that institutions which don’t copy the model followed by “prestige” universities must ipso facto lack “quality”. 

    But innovation does happen.  It’s just not always widely noticed or celebrated.  But there is one regular webinar that is trying to change that, and that’s the Innovative Universities Global Webinar Series.  Based at Constructor University in Germany, it’s co-hosted by two fantastic higher education researchers.  One is Isak Frumin, who joined our podcast last year to talk about post-Soviet universities, and the other is today’s guest, Dara Melnyk.

    We invited Dara onto the show today to discuss what she and Isak have discovered about innovative universities over the course of their webinar series.  What are the catalysts for innovation in higher education?  What kinds of structures or leadership are required to sustain innovation?  Does the innovation process look different in different parts of the world?  I found this an absolutely delightful conversation, mainly because Dana’s job allows her to delve deeply int topics that I wish I could spend more time on myself, and this was a chance for me to live that life vicariously.  I hope you find her as insightful as I did.  And so without futher ado: over to Dara.


    The World of Higher Education Podcast
    Episode 3.26 | “Anything Can Be Done With Anything”: Innovative Universities with Dara Melnyk 

    Transcript

    Alex Usher (AU): Dara, how did the Innovative Universities Global Webinar come about? What was the motivation to create a platform specifically focused on institutional innovation in higher education?

    Dara Melnyk (DM): So, there were practical reasons—I’d say three of them—and one completely impractical reason.

    The first practical reason is that we truly believe innovative universities are important. They’re useful because they test new approaches, and when those approaches are successful, other universities adopt them. That’s how you upgrade higher education systems. It’s, I think, one of the most powerful—and also most ethical—mechanisms for institutional change, as compared to implementing strict policies.

    The second practical reason is tied to my work. I’ve been consulting and advising universities for the past decade, and it’s simply easier to talk about universities when you can use extreme cases. These cases make for good examples, and innovative universities really have to get that one thing at the core of their distinction exactly right. They can typically articulate what they do very clearly, which makes it efficient to learn from them. For example, a lot of universities practice PBL, but if you want to really understand how it works, it makes sense to go to the core—to McMaster University, Maastricht University, whichever you prefer.

    The last practical reason is that innovative universities often have to fight private battles with regulators. They’re constantly trying to bridge the gap between their vision and the realities of everyday practice, and that can get pretty isolating. So we thought it would be helpful to create a gallery of cases, where university leaders could speak about their ideas and challenges—and where others could learn from those stories and feel a bit better about their own practice.

    And finally, the impractical reason—I promised you one of those! Isak, my co-host, and I have this acute curiosity about higher education. Innovative universities intrigue us. They surprise us. They’re hopeful. And most importantly, they make us question what we believe about higher education.

    AU: How do you go about selecting cases? What is it that makes a university truly innovative? Is it technology, governance, pedagogy? And how long do you have to wait to know if it’s an innovation worth copying?

    DM: Okay, so there are two questions here. First, about selecting cases—I’d love to tell you that we have a long, strict list of criteria, that we run them through models or maybe Excel files or something like that. But truly, we just follow our gut feeling. If something gives us pause, it might do the same for the audience. That’s how we choose. Someone tells us about an institution, and we think, “Okay, this is interesting—how do they do it?” And that’s when we decide to feature it.

    Now, in terms of what makes a university innovative, we mostly focus on innovations that are constitutive, not auxiliary—meaning they’re absolutely necessary for that specific university model to function. We do also like looking into innovations in the operational model. But typically, we concentrate on innovations in the core—so, in teaching and learning—because that seems to be the very essence of the idea of the university.

    AU: In your experience, I’m wondering to what extent institutions innovate for—how can I put this—internal reasons, as opposed to external challenges. What kinds of external challenges or changes in the environment, I guess, force institutions to rethink their model? And how often is it those external forces that are decisive in making institutions take that turn toward innovation?

    DM: I feel it’s not that cut and dried. While universities do sometimes respond to external forces or challenges, they also just as often stand idly by—disallowing what’s happening. Not in the sense of ignoring it, but rather acknowledging it, addressing it, and then denying any responsibility for taking action. That happens just as frequently.

    What I think triggers innovation more reliably is what I would call inflection points—periods in history when norms start shifting, and people begin to question what they believe in and what is right. And while that’s happening, you can sneak in something truly unusual.

    The largest and longest inflection period we’ve seen was probably in the 1960s and 1970s, when a lot of things were changing. Gender norms and generational roles were being questioned, there was widespread discontent with U.S. foreign policy and levels of inequality, and in Europe there was a kind of religious rebellion. That’s how we ended up with, I think, almost half of the cases in our collection.

    And possibly, we are living through an inflection period now as well. We’re seeing technological shifts, a new political order—or, as The Economist recently and aptly put it, “disorder”—emerging, as well as climate wars. Institutions are responding to all of that, but they’re also enabled to respond, because no one is quite sure what the correct university model is right now. For a time, that uncertainty creates room to innovate. I think at some point, it will settle again—and innovating will become difficult.

    AU: It seems to me that innovations require a pretty careful mix of institutional structures, leadership styles, funding mechanisms—these could be internal or external. Is there any configuration that you think is more likely to support long-term change?

    DM: First of all, anything can be done with anything. We’ve seen the most fascinating cases of innovation happen under really severe constraints. But at the same time, there are factors that significantly contribute to innovation. I’d classify them as stories, leaders, and policy.

    Starting with stories: if a university community believes it must innovate—for whatever reason, whether to be a pathfinder, to show other universities the way, or to solve problems because it has a vision it’s trying to implement—then it keeps solving issues in order to make that vision real.

    When it comes to leaders, personal drive matters. And you actually need several people with that drive, because they’ll argue, they’ll compete, they’ll collaborate—and ultimately, they’ll move the university forward. No university leader is an island, to paraphrase John Donne. No team, no vision, no innovation, ultimately.

    And finally, policy. I think you’d agree there needs to be sufficient autonomy to experiment. It sounds like a basic statement—like something you hear in every second university president’s speech—but universities are often quite limited by licensing and accreditation regulations. And also by something I’d call self-arrest, borrowing from Antony Giddens: playing it safe just in case, keeping still, not rocking the boat.

    So autonomy is really important. I love the title of the book by Bartlett Giamatti about universities—The Free and Ordered Space. I’ve been obsessed with that phrase. It seems incredibly relevant to universities, because, well—there is no order if you don’t have freedom. Freedom is the basis of order for universities.

    AU: Dara, your series features universities from all over the world. I’ve been so impressed by the way you’ve been able to go to various corners of the globe. What’s your impression about how the approach to innovation differs regionally? So, is there a North American path to institutional innovation that’s different from what you see in Europe or Asia? Is it about philosophy? Is it about traditions? I mean, what are the differences you see globally?

    DM: I think it’s about problem fields. A problem field is a cluster of issues you have to navigate and somehow address—quote in your design—for sponsors to even consider investing, for students to consider coming, and so on.

    If I were to walk you through the regions—this is a really rough typology at the moment, but still—
    For Africa, the problem field is the trifecta of affordability, quality, and regional relevance. That last part is sometimes interpreted as decolonization, but I think it’s more than that.

    Asia is incredibly diverse, both economically and culturally. I’d say China seems especially concerned with identifying its own way and positioning universities as economic drivers—meaning actual partnerships between higher education institutions and industry. And in developing countries, I think it’s mostly about securing social mobility for students.

    Now, traveling to North America—we’ve only looked at the U.S. so far; Canada is pending—it’s also very much centered on affordability. But with the University of Austin—not to be confused with the University of Texas at Austin—we’re seeing a return to thinking about and experimenting with what a university should be in the first place. That sounds a bit like the 1960s to me. So, we’ll see what happens there.

    And finally, Europe is all about Europe—Europeanness. Its largest innovation, the European University Networks, is centered on that. And apart from this sense of Europeanness, there’s a lot of attention to innovative and experimental pedagogies, partly in response to demographic changes.

    AU: About a year ago, we had a guest on the show, Brian Rosenberg—you’ve probably read his book, Whatever It Is, I’m Against It. He painted a picture of American institutions as being very resistant to innovation, basically because there are too many points of veto within the institution. What are the biggest obstacles you see preventing universities from adopting innovative practices? Are you as pessimistic as Brian? How do you get around that tendency toward inertia?

    DM: I am definitely not as pessimistic as Brian—maybe because I don’t live in the U.S. I hope the land down below Canada won’t be offended by that!

    Now, talking about obstacles, there are both external and internal ones. Externally, they’re quite plentiful, but I think it boils down to a conflict between open and closed systems. A higher education system is either welcoming—in narrative and policy—to innovation, or it’s not. And the way to overcome that barrier usually involves promotion, and often lobbying, for the importance of innovative universities.

    According to our observations, successful, innovative universities are typically led by talented lobbyists. You have to be able to fight back—to be an actor, not just an agent, in the national conversation.

    Now, for internal obstacles, the biggest one is a lack of critical discussion about the organization. If people can’t voice issues or share ideas—because, for example, they’re afraid to—then nothing changes, and nothing will change. So, step one is to create a platform for that discussion. And step two is not just to invite people to share their opinions—or embolden them, if you can—but to actually carry the conversation through to real projects. Try something out. It may or may not work, but at least you’ve tried. And then you can try again. That’s how you become an innovative institution.

    AU: What’s the most innovative institution you’ve seen? I know you’ve done dozens of these around the world. What’s the one that really affected you the most—one that you thought was the most interesting to think about or to look at?

    DM: It doesn’t really work like that. We tend to get excited about every single institution we look at. The more attention you pay to one, the more fascinated you get. For me, it’s typically the last case—either the one we just covered or the one we’re about to cover.

    So, the case we just covered is Roskilde University in Denmark, which is a cousin of McMaster University. They’re just wonderful. They have their own proprietary methodology—problem-oriented project learning—and they keep introducing new innovations. If you look at the news page on their website, it’s not just updates about research outcomes and student results. It’s also things like, “We’re going to introduce this,” or “We’re thinking about that.”

    And the case we’re going to cover very soon, in a couple of days, is Tidelines Institute. It’s a micro-college. There’s a proper definition for that, but I like to define micro-colleges as institutions where everybody knows everybody.

    Tidelines is located in the Alaskan wilderness and sees itself almost as complementary to traditional higher education institutions. It’s not a disruptive institution—it’s a complement. It’s an addition. It offers experiential learning through short-term projects for students. They can come for six months or even just a couple of weeks and learn something amazing by doing.

    AU: So, based on all these conversations you’ve had, what are the big themes that you think might affect—for lack of a better word—the university of the future? Obviously, there’s not one university of the future; there are lots of different possibilities and roles for individual institutions to play. But are there specific themes emerging from your research that you think might become a more hegemonic—or dominant—blueprint for higher education in the coming decades?

    DM: Some things are clear. First, affordable university models will keep appearing—because everyone wants them to. For that, you might look at NewU University in Washington, DC. It’s a really brave and persistent case that I admire deeply. Or the African Leadership University, which Brian Rosenberg—whom you mentioned—is an advisor to.

    Second, universities will implement more technology. We all know it; everybody talks about it. I’d recommend looking at MEF, a Turkish university, to see what they’re doing. They’re quite systematic in implementing new technological solutions.

    Third—and almost as a mirror to that technological implementation—universities will also have to compete with online platforms. They have to offer something no one else does. I really like the idea of Forward College, which is an itinerant college in Europe. Students study in Lisbon for their first year, Paris for their second, and Berlin for their third. Forward College believes that relational pedagogy should lie at the core of education—the relationship between teacher and student as the driver for learning. I think that has its place, maybe even a central place, in universities. These are the spaces where generations meet, and that should be used and leveraged.

    That said, I want to make a slightly extended comment about innovation. I’m not sure if Isak would agree, but even though I research innovative universities, talk about them, and write about them, I don’t truly believe in innovations in higher education. I don’t think they’re possible.

    Lately, I’ve been reading and listening to things about ancient Greece and ancient Greek education—and also listening to Bastille, because for me, that’s connected. There’s a line in their song Pompeii: “But if you close your eyes, does it almost feel like nothing changed at all?” The more I learn about innovative higher education, the more I believe in two things: first, nothing will fundamentally change; and second, nothing should.

    On that first point—about the lack of fundamental change—most innovations are reimaginings. We keep reimagining ideas that have already been discussed, that have already been tried, throughout the couple of thousand years of higher education history.

    And on the second point—maybe that’s not such a bad thing. Maybe it’s something universities should retain. They are organizations that manage knowledge. They gain knowledge through research, they transmit it through education, and they apply it through technology transfer. The formats might change, but at their core, universities should remain the one type of organization responsible for the complete knowledge cycle. Everything else seems secondary to me.

    AU: Dara Melnyk , thanks so much for joining us today. And it just remains for me to thank our excellent producers, Tiffany MacLennan and Sam Pufek—and you, our viewers, listeners, and readers—for joining us today. If you have any questions or concerns about today’s episode, or suggestions for future ones, please don’t hesitate to get in touch with us at podcast@higheredstrategy.com. Run—don’t walk—to our YouTube channel. Subscribe to it so you never miss an episode of The World of Higher Education. Join us next week when I’ll be joined by Nicolas Badré, the Chief Operating Officer of the Galileo Global Education Group. We’ll be talking about the rise of private higher education in Europe and the Galileo Group’s fascinating experiments with artificial intelligence in teaching and learning. Bye for now.

    *This podcast transcript was generated using an AI transcription service with limited editing. Please forgive any errors made through this service. Please note, the views and opinions expressed in each episode are those of the individual contributors, and do not necessarily reflect those of the podcast host and team, or our sponsors.

    This episode is sponsored by Studiosity. Student success, at scale – with an evidence-based ROI of 4.4x return for universities and colleges. Because Studiosity is AI for Learning — not corrections – to develop critical thinking, agency, and retention — empowering educators with learning insight. For future-ready graduates — and for future-ready institutions. Learn more at studiosity.com.

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  • Innovative K-12 staffing strategies are feeling the brunt of federal funding cuts

    Innovative K-12 staffing strategies are feeling the brunt of federal funding cuts

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    Many schools and higher education partnerships that support the teacher pipeline are starting to feel the brunt of a $600 million cut in “divisive” teacher training grants announced Feb. 17 by the U.S. Department of Education.

    The cost-cutting measures by the Education Department are part of a broader effort throughout the federal government initiated by the Trump administration. The initiative led by the Department of Government Efficiency, or DOGE, reported this week that the Education Department is leading among other federal agencies for the most savings in total funding cuts. 

    Two of the most common federal grant programs impacted so far are the Teacher Quality Partnership Program and the Supporting Effective Educator Development Grant, said Cheryl Holcomb-McCoy, president and CEO of the American Association of Colleges for Teacher Education. AACTE has been surveying its members to gauge the grant slashing effort’s reach.

    Though the Education Department did not specify which teacher training grants programs were being cut, the agency said in its announcement that the reductions are targeting funds to institutions and nonprofits that were using training materials on topics such as critical race theory and diversity, equity and inclusion. The department added that “many of these grants included teacher and staff recruiting strategies implicitly and explicitly based on race.”

    At American University in Washington, D.C., for instance, a Teacher Quality Partnership Program grant allowed the university to help paraprofessionals at Friendship Charter Public Schools earn a master’s degree in early childhood or special education, “which there is a real need for,” said Holcomb-McCoy, who previously served as dean of American University’s School of Education. 

    The multiyear federal grant — which covered the private university’s tuition for about 15 teacher candidates to get credentialed, Holcomb-McCoy said — was written to benefit Friendship Charter Public Schools, as well as to address special educator shortages throughout the city.. That funding was “essentially cut.” 

    “We talk about teacher shortages of special education, teacher shortages in subjects such as science and math and technology,” Holcomb-McCoy said. “Cutting these grants essentially is cutting off the pipeline for many aspiring educators to get into the profession, and it’s not helping us. It’s hurting K-12 districts in many ways.”

    The grant also noted that it’s important to have a diverse representation of special education teachers trained in inclusive practices in Washington, D.C., schools, Holcomb-McCoy said. “The impact that that has on students with special needs is huge, and to stop that pipeline of people who aspire to work in that space is devastating to school districts and to communities and families.”

    AACTE estimates that about 31 Supporting Effective Educator Development grants and as many as 75 Teacher Quality Partnership Program grants were recently canceled nationwide. The association is providing support to its members and plans to help them first appeal their cases to the Education Department. 

    AACTE is also exploring potential litigation options, Holcomb-McCoy said.

    A hit to diversifying the teacher workforce

    Many of the applications for federal grants that were cut were written to align with priorities related to diversity set by former presidential administrations. As a result, Holcomb-McCoy said, a lot of those grant programs intentionally sought to address issues over diversity, equity and inclusion.

    Still, diversity in the teacher workforce has been a longstanding issue, she said. As the student population becomes more diverse, the hope has been to hire and keep teachers who are representative of their students. 

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  • Innovative Research Universities’ pre-budget wishlist

    Innovative Research Universities’ pre-budget wishlist


    Innovative Research Universities (IRU) has asked the federal government to invest in four key areas in the next budget, due March 25.

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  • Innovative and Engaging Communications in and Beyond the Academy – GlobalHigherEd

    Innovative and Engaging Communications in and Beyond the Academy – GlobalHigherEd

    Editor’s note: this guest entry has been kindly developed by Gisèle Yasmeen, Ph.D., Senior Fellow, Institute of Asian Research, University of British Columbia, Canada. Dr. Yasmeen raises a series of important issues in the build-up to a call for a “structured dialogue” on the nature and role of knowledge in society.

    ~~~~~

    Innovative and Engaging Communications in and Beyond the Academy

    Gisèle Yasmeen, University of British Columbia

    Research and scholarship is primarily about asking and answering questions as well as conserving and constantly reinterpreting fragile and easily forgotten knowledge. When I started graduate studies more than 25 years ago, there was no talk of the world wide web, no blogs, no Twitterverse, Facebook, Academia.edu and so on. I grew up in an era of card catalogues, photocopying, typewriters and hand-written letters with supervisors and collaborators. My first experience with computers was with a mainframe “Amdahl” where you had to learn complex codes to do simple word-processing! I am convinced that the dramatic communications revolution we are experiencing is and will continue to transform research, teaching and academe beyond anything we are familiar with now in the next twenty years. So, how might we succinctly envision these changes and start to prepare for the scholarly world of the possible future? Or as I was asked recently by a university Vice-President of Research, “what are the implications of digital media for post-secondary institutions?”

    Many of us are still getting our heads around these questions – myself included – and follow with great interest the work of those like John Willinsky, Leslie Chan, and John Wilbanks. The purpose of this article is, therefore, to reflect on the actual and potential role of ICTs in research, teaching and scholarly communication, and to humbly offer in the conclusion my own suggestion that the time has come for a new “knowledge commission.” Hence, the intended audience is those who are new to the file and others who may be wondering, where could we take it from here?

    Research: the importance of ICTs for asking and answering questions

    New media tools in general – and high performance computing in particular – enable us to mine vast quantities of data (numeric, text, images, sound) at lightening speed compared to the past, which enables not only research questions to be answered but new research questions to be asked, which could not be asked before. This exciting approach to (re)discovery is at the forefront of a variety of (inter/multi/trans)disciplines ranging from bio-informatics and social statistics to the digital humanities. Examples of ICTs, “big data” and other emerging technologies leading to research breakthroughs in the natural and health sciences are well known. Most of us are familiar with the Higgs boson or “God-particle” confirmed through the CERN Hadron collider and revolutionary work on human genomics through the “barcode of life” dataset. What is perhaps less known is the growing use and study of emerging technologies in the social sciences and humanities. For example, advanced imaging technologies allowed literary scholars funded by the National Endowment of the Humanities to read and analyse an illegible and deteriorated copy of explorer David Livingstone’s diary, as reported by the New York Times. The study and use of emerging technologies, such as advanced ICTs is predicated on the development of appropriate tools for research and, as Clifford Lynch eloquently argued last year, the builders of those tools often do not get the respect they deserve as necessary “enablers” in the world of research compared to those who spend time using those tools.

    In fact, the concept of what is a “discipline” is worth reflecting on in an era of joint faculty appointments between computer science and literature or philosophy and the growing number of innovative instructional programs that combine information technology, creative arts and business. What are the implications of this for institutional and program design? After all, as the English language Wikipedia entry on academic discipline, drawing from the Encyclpaedia Britannica reminds us, “The University of Paris in 1231 consisted of four faculties: Theology, Medicine, Canon Law and Arts”. We need to be vigilant about how we classify and institutionalise structures of knowledge, particularly in an era of rapidly evolving collaboration between knowledge communities. Karoline Postel-Vinay of Sciences Po, at a recent Asian studies conference in Paris, encouraged participants to challenge our currently established conceptualizations of disciplines and areas of research.

    Digital media is also facilitating communication and collaboration between researchers in specialised fields in order to collectively advance and explore knowledge and is also enabling interaction with communities and experts beyond post-secondary institutions leading to the growth of “citizen science” and inter-sectoral modes of knowledge production (ie the co-creation of knowledge with “lay” collaborators). Hence, the issue of where legitimate knowledge lies and audience is an evolving one – or is it? Perhaps we need to begin by refuting the ivory tower myth. The walls of universities are and have always been porous for faculty and students. Virginia Woolf attended Oxford as one of the first women on campus and historical examples abound regarding restrictions on enrolment with respect to certain minorities either not accessing the hallowed halls of advanced education or being subject to quotas. Thankfully, this has changed for the better though barriers for many still remain, as many scholars argue. This is yet another reason to have a discussion on what is legitimate knowledge and how to structure our institutions around questions of its generation, conservation, transmission and value-addition – including reinterpretation.

    Furthermore, students are the single-biggest “export of universities”. One of the fundamental purposes of higher education and research is to foster the development of the next generation as well as be challenged by the innovative ideas of youth. The Socratic dialogue continues to this day and is a necessary step in the growth and development of ideas on an individual and collective level. Young people graduate and go on to lead productive lives across the public, private and not-for-profit sectors as well as the academic world.

    What we may be seeing accelerated via ICTs is an increasing blurring of boundaries with respect to knowledge intended for and/or accessed by academic audiences as well as those beyond. Data-intensive research is an area where we see sometimes very esoteric research questions being resourced and explored through digital means (e.g. medieval languages and literature) with user groups as well as commentators and “content providers” going well beyond academe. This might be compared to marketing a niche product to a global audience as well as sourcing suppliers through a global, often volunteer, network. The possibilities are endless.

    However, with ICTs, as with all tools, there is always a “dark side”. There are concerns and critiques by longstanding observers of emerging and disruptive technologies, such as Heather Menzies, of the negative impacts of “real time” communications and the sometimes-associated lack of depth, reduced attention spans, and difficulty to maintain meaningful inter-subjectivity. It is said that 80-90% of human communication remains non-verbal, hence we need to be vigilant and attentive to the dynamics of learning, thought and social interaction through emerging multidisciplinary fields such as cognitive neuroscience. We need to see new media as one tool, for knowledge generation and sharing but, by no means, the only one.

    A central challenge now confronting the scholarly community is how to assess the quality and impact of various types of content accessible to potentially millions of readers and commentators. This includes the conundrum of what to do with “user-generated” or self-published content. Furthermore, how do we conceptualize and classify who is a “peer” and their commentary on one’s work in various contexts given the accelerated blurring of boundaries between the academic, public, private and not-for-profit sectors? Who best plays the curatorial role of quality control in the information deluge? These are some of the fundamental and normative questions facing the world of research and scholarship, which the following section will attempt to unpack, at least in a preliminary way.

    Knowledge sharing – maximising value from good quality knowledge

    The previous section focused on “research”, commonly thought of as (re)discovery and analysis, but how does knowledge get documented, vetted, shared, commented-upon and preserved for present and future generations?   It goes without saying that teaching in its many, rapidly evolving forms – is primarily a form of knowledge transmission and, I would argue, two way exchange between generations. Others have written in great detail about the impact of ICTs on teaching, especially the growth of on-line learning, MOOCs, Khan Academy and the like so I will not go into detail about this topic here. Suffice it to say that ICTs are having a significant impact teaching in post-secondary institutions – some of which are having difficulty rising to the challenge. Rather, I’d like to focus on the impact of ICTs on scholarly publishing and debates on how to assess the quality published output, without expecting to resolve this complex conundrum.

    Bibliometrics, impact factors and indices such as the H-Index are, on the one hand, gaining importance and, on the other, coming under greater scrutiny for sometimes excluding entire scholarly communities such as humanities scholars who typically write books and those with a policy orientation who often produce “grey literature” such as technical and policy-oriented reports. In addition, there have been scandals of peer review “rings” in journals trying to enhance their impact factor. There is a tautology built into the issue of impact factor, namely that a more accessible publication tends to have wider readership and citations. Public Library of Science, or PLOS, a not-for profit publisher of open access journals that accepts roughly 70% of its peer-reviewed manuscripts and has a relatively high impact factor since it’s journals are open access. Articles rejected by PLOS journals often get published elsewhere so a general discussion on the meaning of acceptance and rejection rates are probably needed. John Willinsky also noted in a recent interview that PLOS requirements to include open access data also forces researchers to think through the quality of the datasets used to support their publications. How, therefore, to meaningfully establish the quality and impact of a publication?

    The growing “open” movement, which includes open access (OA) publishing, open source technologies and open data are revolutionizing the scholarly enterprise by being based on the premise that knowledge is a public good – particularly when it is publicly-funded – and that the outputs of research and related activities should be freely available, without charge, ideally on the internet. Part of rising to the “open” challenge is an infrastructural one but this is improving through the creation of OA platforms at the institutional level. The importance of open access to research results (journals and books) as well as raw datasets (numeric, text, images and sound) is hugely important to both the world of research and broader society and lead to greater readership and impact. One concrete example to note is when a number of Québec journals dramatically increased their readership within a few years when they went OA by joining the Ėrudit platform. Another example is the journal RNA Biology requiring several years ago that all its authors to submit their abstracts to Wikipedia. Another “open” phenomenon to mention is the growth of open peer review– strongest in the health world – where open access publishers are employing fully transparent processes in their review of articles. In other words, the identity of the reviewer is disclosed, as are his or her comments on the article being submitted, the author – and others for that matter – can respond and comment. We will likely be seeing more of this type of review and resulting publications.

    Conclusion – Dialogue on the nature and role of knowledge in society

    I recently published an article on scholarly and research infrastructure in the new 2nd edition of the International Encyclopedia of the Social and Behavioural Sciences, which begins to expand established knowledge boundaries to include an unprecedented number of contributions by non-Americans, women, non-anglophones, and minorities to get a more complete picture of contemporary scholarship. The next step would be to give more serious thought to the idea of “knowledge commissions”. Examples – some considered more successful than others – include the Indian Knowledge Commission as well as Canada’s Massey Commission in the 1950s, which ultimately led to the creation of national research funding infrastructure. Given advances in technology and associated virtual and intersectoral communities of interest, practice and purpose, are we at the point where we need to establish such knowledge commissions to review the place of knowledge in society and the institutions that support its creation, conservation and transmission/exchange? New media tools have enabled us to interact in real time on a regular basis with like-minded others around the world via exchange of knowledge and information in multiple directions. This helps researchers gather and curate precious information and often engages “fellow travellers” in the public, private and not-for-profit sectors. New collective voices are emerging, which were not heard before. Yes, it’s time for a structured dialogue.

    The author would like to acknowledge Chad Gaffield and Kris Olds for constructive comments on an earlier version of this article

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