Category: futures Page 4 of 5

EDUCAUSE Horizon Report 2021 – exemplar projects solicitation

Once again, this year I am supporting EDUCAUSE with their effort at producing this year’s Horizon Report by participating on the expert panel. The 2020 report was the first I contributed to, and I was incredibly excited with the shape it took compared to past Horizon Reports.

We have recently concluded the voting for the six most important technologies and practices for teaching and learning in higher education.

For 2021, we are continuing the long-standing tradition of reaching out to the community for projects that illustrate these technologies and practices in action. If your institution is working with any of the six (listed below), we encourage you to submit your projects and initiatives via the below-linked form. You are welcome to submit more than one project.

This work can be in almost any form: production or pilot programs, research projects, faculty undertakings, emerging technology trials, or evaluation/assessment projects. The intent is to give readers a more concrete sense of how these technologies and practices are playing out in higher education. We include three such exemplary projects for each of the six technologies and practices highlighted in the EDUCAUSE Horizon Report. We will also be inviting a subset of the authors of the submissions to write up their work in the post for the EDUCAUSE Review Teaching and Learning channel, or present this work in other venues including conferences or webinars.

The six emerging technologies and practices selected by the expert panel for 2021 are:
Artificial intelligence (AI)
Growth of micro-credentialing for educators and students
Learning analytics
Open educational resources (OER)
Proliferation of blended/hybrid modes/teaching models
Shift from remote teaching to quality online learning

The URL for the submission form is:

https://forms.gle/XQYYRtMyenSTGSXB7

The deadline for submission is March 15, 2021. These exemplar projects are the heart of the Horizon Report. Many thanks in advance for contributing to the 2021 edition!

CICan perspectives live show: hacking education in a digital world

Recently, I was a guest on a live show hosted by Colleges and Institutes Canada. This episode focused on “hacking education in a digital world.” It focused on the question: How can colleges and institutes transform learning options to provide better access to postsecondary education for all Canadians in the context of a pandemic, and how can the success of the transformation be measured? The show is archived here, and past and current episodes are available on the CICan website.

My comments focused on a few major areas

  • that the impact of the pandemic on higher education institutions, students, and faculty in Canada has been uneven
  • that what we know from online learning research has much to offer to guide remote and emergency teaching and learning
  • that flexibility and flexible learning is important
  • that collaboration amidst the pandemic has served the higher education sector well, and we should do what we can to continue engaging in sharing and collaborations
  • that our post-pandemic future can be better (read more equitable, accessible, sensitive to student and societal needs, etc) than the pre-pandemic past

How should we respond to the life-altering crises that education is facing?

Below is the the pre-published version of a short reflection I wrote for Distance Education, published here for posterity. The paper is Veletsianos, G. (2020). How should we respond to the life-altering crises that education is facing? Distance Education, 41(4), 1-3. https://doi.org/10.1080/01587919.2020.1825066

Abstract

Prior literature suggests that to address the problems facing education, researchers and practitioners of online and flexible learning should avoid placing too much emphasis on the potential of technology and consult the history and literature of the field. In this reflective article, I argue that in addition to these activities, we should expand our efforts to broaden the reach and impact of our field and engage in speculative work that asks: What should the future of digital, online, and flexible education look like?

Introduction

“In this increasingly unstable world, crises potentially impact our education systems. This will be true whether the crisis is caused by the circulation of a new pathogen, or something else entirely: hurricanes, flooding or wildfire, now more common due to climate change. We have before us a stark reminder that we should approach the promises of technological solutions with caution. Flexible and resilient educational systems require more than tools. They demand collaboration, care, preparation, expertise, resources and learning lessons from the past. (Houlden & Veletsianos, 2020)”

We wrote the sentences above in March 2020, 2 weeks before educational institutions in North America transitioned to remote education in an attempt to influence practitioners’ and researchers’ responses to the life-altering crises that education is facing. We were hoping to convince readers that even though technology may enable institutions of education to engage in some semblance of educational continuity, technology will not fix the crises facing our educational systems. Such reasoning flows from a long line of scholarship that details the problems of technological determinism and solutionism in our field (e.g., Bayne, 2015; Oliver, 2011; Tennyson 1994), urges researchers and practitioners to avoid placing too much emphasis on the potential of technology (e.g., Selwyn, 2011), and encourages us to heed the lessons embedded in the history of the field (e.g., Watters, 2014; Weller, 2020). Similar arguments are included in this issue of Distance Education as well. Baggaley, for instance, argues that “the surest way to make online learning effective is to consult the decades of practical experience in the distance education literature.” But what may be some additional responses to such life-altering crises as COVID-19 and climate change?

One possible response may include efforts to broaden the reach and impact of the distance and flexible education literature, as well as literature present in related fields, such as instructional design and technology, learning analytics, and the learning sciences. Such efforts may address limitations that restrict the literature’s helpfulness, applicability, and accessibility. For instance, the literature suffers from a problem of access. Much of our literature, like the literature of other fields, is written for researchers rather than practitioners, and much of it is locked behind paywalls (like this reflection). One set of responses, therefore, may be to refine and rethink the ways our own scholarship is accessed. For instance, at an individual level, we might strive to make our own articles available in open ways, expand our public outreach, engage in more practice-oriented scholarship, write for broader audiences, and address inequities in knowledge production, dissemination, and consumption (cf Czerniewicz, 2013; Scharber et al., 2019). At a systemic level, we may question practices like top-tier publishing, rankings, impact factors, and the various practices that sustain and encourage these, such as institutional policies on promotion and advancement and grant-funding decisions.

A second possible response may involve reflecting on our own scholarship and the scholarship we support, reward, and encourage. Reeves and Lin (2020) argue that to make a real difference in the lives of learners we should be studying and solving problems, rather than studying tools and technologies. In effect, these authors urge us to ask whether our particular work, the work of our students, and the work of our colleagues contributes to better educational futures. My intent here is not to draw demarcation lines between appropriate and inappropriate scholarship. Instead, if higher education is facing the very real possibility that the post-pandemic era may be radically different than our earlier “normal” (Cox et al., 2020), this may be a good time to ask: What should the future of digital, online, and flexible education look like?

This is not a call for more hopeful writing of the possibilities of online education or educational technology. Instead, it is a call for more critical and speculative writing and practice. Such critical efforts are gaining broader visibility and interest and can be found in recent work in both this journal (e.g., Valcarlos et al., 2020) and elsewhere (e.g., Lambert, 2018). To imagine possible educational futures, some researchers are turning to speculative methods as “research approaches that explore and create possible futures under conditions of complexity and uncertainty” (Ross, 2018, p. 197). Envisioning such futures does not solely mean employing fiction in our writing. Rather, speculative methods “inform us about what matters now in the field, what issues and problems we have inherited, and what debates define what can or cannot be currently thought about or imagined” (Ross, 2017, p. 220). Considering that the current state of education, at all levels, is situated within a context of ever-evolving social, cultural, political, and technological shifts, we face an urgent need to engage with uncertainty on multiple levels.

The use of speculative methods, therefore, may enable us to offer guidance when making current decisions related to the future of higher education, and to explore what may or may not be possible in different contexts. In a special issue of Learning, Media and Technology (Selwyn et al., 2019) for example, colleagues examined near-future educational scenarios and critically contemplated the use of technology in education. To use an example of present activities to speculate about desirable and undesirable educational futures, consider the now-broader use of proctoring tools, which were largely adopted to maintain the continuity of such familiar practices as invigilated exams. Now consider a future in which proctoring tools are as pervasive as the use of learning management systems or even email. Are proctoring tools consistent with desirable future educational systems? Asking this question forces us to deal with the ethics of our work. What if, in the process of asking this question, we realize that adopting proctoring software may not only become a barrier to alternative assessments but may also foster a culture of surveillance and mistrust (e.g., Fawns & Ross, 2020; Swauger, 2020)?

Conclusion

Clearly, technology alone will be unable to provide a solution to such a complicated problem as responding to the complex challenges that educational systems worldwide are facing. The two possible responses I offer—broadening the reach and impact of our scholarship and engaging in more imaginative, speculative, and critical work—are not panaceas either. Unlike technological solutionism though, these actions respond to calls by Facer and Sanford (2010), Ross (2017), Staley (2019), and Alexander (2020) to develop scenarios for the future of higher education as a way to address current challenges and work toward desirable outcomes. I imagine such futures to be inclusive, equitable, and just; to serve all of our learners; to prioritize collaboration over competition; to be flexible to learners’ needs; to exhibit care and trust for our students; and to be free of systems of oppression and injustice that operate within our own institutions.

References

Alexander, B. (2020). Academia next: The futures of higher education . Johns Hopkins University Press. 

Bayne, S. (2015). What’s the matter with ‘technology-enhanced learning’? Learning, Media and Technology , 40(1), 5–20. 

Cox, R. , Slick, J. , & Dixon, T. (2020). Surviving, thriving, or radical revisioning: Scenarios and considerations for pandemic recovery and response planning . Royal Roads University. 

Czerniewicz, L. (2013, April 29). Inequitable power dynamics of global knowledge production and exchange must be confronted head on. Impact of Social Science. https://press.rebus.community/openatthemargins/chapter/repost-inequitable-power-knowledge/  

Facer, K. , & Sandford, R. (2010). The next 25 years? Future scenarios and future directions for education and technology. Journal of Computer Assisted Learning , 26(1), 74–93. 

Fawns, T. , & Ross, J. (2020, June 3). Spotlight on alternative assessment methods: Alternatives to exams. Teaching Matters . https://www.teaching-matters-blog.ed.ac.uk/spotlight-on-alternative-assessment-methods-alternatives-to-exams/  

Houlden, S. , & Veletsianos, G. (2020, March 13). COVID-19 pushes universities to switch to online classes—but are they ready? The Conversation. https://theconversation.com/covid-19-pushes-universities-to-switch-to-online-classes-but-are-they-ready-132728  

Lambert, S. R. (2018). Changing our (dis)course: A distinctive social justice aligned definition of open education. Journal of Learning for Development , 5(3), 225–244. https://jl4d.org/index.php/ejl4d/article/view/290/334  

Oliver, M. (2011). Technological determinism in educational technology research: some alternative ways of thinking about the relationship between learning and technology. Journal of Computer Assisted Learning , 27(5), 373–384.

Reeves, T. C. , & Lin, L. (2020). The research we have is not the research we need. Educational Technology Research and Development , 68(4), 1991–2001.

Ross, J. (2017). Speculative method in digital education research. Learning, Media and Technology , 42(2), 214–229.

Ross, J. , (2018). Speculative method as an approach to researching emerging educational issues and technologies. In L. Hamilton & J. Ravenscroft (Eds,), Building research design in education (pp. 197–212). Bloomsbury. 

Scharber, C. , Pazurek, A. , & Ouyang, F. (2019). Illuminating the (in)visibility of female scholars: A gendered analysis of publishing rates within educational technology journals from 2004 to 2015. Gender and Education , 31(1), 33–61.

Selwyn, N. (2011). In praise of pessimism—the need for negativity in educational technology. British Journal of Educational Technology , 42(5), 713–718.

Selwyn, N. , Hillman, T. , Eynon, R. , Ferreira, G. , Knox, J. , Macgilchrist, F. , & Sancho-Gil, J. M. (Eds.). (2019). Education and technology into the 2020s: Speculative futures [Special issue]. Learning, Media and Technology , 45(1). 

Staley, D. J. (2019). Alternative universities: Speculative design for innovation in higher education . Johns Hopkins University Press.  

Swauger, S. (2020). Our bodies encoded: Algorithmic test proctoring in higher education. In J. Stommel, C. Friend, & S. M. Morris (Eds.), Critical digital pedagogy: A collection. Pressbooks. https://cdpcollection.pressbooks.com/chapter/our-bodies-encoded-algorithmic-test-proctoring-in-higher-education/  

Tennyson, R. D. (1994). The big wrench vs. integrated approaches: The great media debate. Educational Technology Research and Development , 42(3), 15–28.

Valcarlos, M. M. , Wolgemuth, J. R. , Haraf, S. , & Fisk, N. (2020). Anti-oppressive pedagogies in online learning: A critical review. Distance Education , 41(3), 345–360. 

Watters, A. (2014). The monsters of education technology. Tech Gypsies Publishing. http://monsters.hackeducation.com   

Weller, M. (2020). 25 years of ed tech . Athabasca University Press.

The 7 elements of a good online course

In June, I wrote the article below for The Conversation. Today I start teaching my Fall 2020 (online) course on the foundations, histories, myths, and futures surrounding learning technologies, and I thought it was a good time to republish this piece here under its original Creative Commons license as a reminder for myself and others. The original article is here.

The 7 elements of a good online course

It’s likely that most universities will be conducting classes online in the fall. That doesn’t mean learning will suffer. (Shutterstock)

With very few exceptions, online teaching and learning will be the primary mode of education for the majority of higher education students in many jurisdictions this fall as concerns about COVID-19 extend into the new school year.

As an education researcher who has been studying online education and a professor who has been teaching in both face-to-face and online environments for more than a decade, I am often asked whether online learning at universities and colleges can ever be as effective as face-to-face learning.

To be clear: this isn’t a new question or a new debate. I’ve been asked this question in various forms since the mid-2000s and researchers have been exploring this topic since at least the 1950s.

The answer isn’t as unequivocal as some would like it to be. Individual cherry-picked studies can support any result. But systematic analyses of the evidence generally show there are no significant differences in students’ academic outcomes between online and face-to-face education.

Researchers also find that some students perform worse online than others — and that some of those differences can be explained by socioeconomic inequities.

Advice for students and parents

The problems with media comparison studies — that is, those that compare outcomes between one medium, such as face-to-face, to another medium, such as online — are such that many researchers advocate against them. How can students who enrol in online courses in the fall know they are receiving a good educational experience? What are some of the qualities of a good online course?

Good online courses can be more personal and rewarding for students than the traditional learning in large lecture halls. (Shutterstock)

Here’s some advice for students (and their parents) about what to look for as learning remains online.

  1. A good online course is informed by issues of equity and justice. It takes into account social, political and cultural issues — including students’ backgrounds and socioeconomic circumstances — to craft a learning experience that is just. This may take many forms. In practice, it may mean a diverse and intersectional reading list. It means audiovisual materials that don’t stereotype, shame or degrade people. It may mean that open educational resources are prioritized over expensive textbooks.
  2. A good online course is interactive. Courses are much more than placeholders for students to access information. A good online course provides information such as readings or lecture videos, but also involves interactions between professor and students and between students and students. Interactions between professor and students may involve students receiving personalized feedback, support and guidance. Interactions among students may include such things as debating various issues or collaborating with peers to solve a problem. A good online course often becomes a social learning environment and provides opportunities for the development of a vibrant learning community.
  3. A good online course is engaging and challenging. It invites students to participate, motivates them to contribute and captures their interest and attention. It capitalizes on the joy of learning and challenges students to enhance their skills, abilities and knowledge. A good online course is cognitively challenging.
  4. A good online course involves practice. Good courses involve students in “doing” — not just watching and reading — “doing again” and in applying what they learned. In a creative writing class, students may write a short story, receive feedback, revise it and then write a different story. In a computer programming class, they may write a block of code, test it and then use it in a larger program that they wrote. In an econometrics class, they might examine relationships between different variables, explain the meaning of their findings and then be asked to apply those methods in novel situations.
  5. A good online course is effective. Such a course identifies the skills, abilities and knowledge that students will gain by the end of it, provides activities developed to acquire them and assesses whether students were successful.
  6. A good online course includes an instructor who is visible and active, and who exhibits care, empathy and trust for students. This individual understands that their students may have a life beyond their course. Not only do many students take other courses, but they may be primary caretakers, have a job or be struggling to make ends meet. Good online courses often include instructors who are approachable and responsive, and who work with students to address problems and concerns as they arise.
  7. A good online course promotes student agency. It gives students autonomy to enable opportunities for relevant and meaningful learning. Such a course redistributes power – to the extent that is possible – in the classroom. Again, this may take many forms in the online classroom. In the culinary arts, it may mean making baking choices relevant to students’ professional aspirations. In an accounting course, students could analyze the financial statements of a company they’re interested in rather than one selected by the instructor. Such flexibility not only accommodates students’ backgrounds and interests, it provides space for students to make the course their own. In some cases it might even mean that you – the student – co-designs the course with your instructor. This is the kind of flexibility higher education systems need.

These qualities aren’t qualities of good online courses. They are qualities of good courses, period.

Physical proximity isn’t a precondition for good education. Comparing one form of education to another distracts us from the fact that all forms of education can — and should — be made better.

What’s the future like? Speculative Methods in Networked Learning workshop

Jen Ross and I are leading a workshop on speculative methods as part of the 2020 Networked Learning (online) conference. It takes place on May 19 at 8am Pacific (4pm UK) and it’s free to attend. Our session will be held in this Adobe connect room: https://c.deic.dk/aristotle/

Museum of Fine Arts, Houston, United States. Unsplash.

The workshop will last 55 minutes. Our schedule is as follows:

Workshop Description

The goal of this workshop is to introduce participants to speculative methods and explore their application to the field as a way of imagining potential futures and scenarios for learning, design, and technology. We define speculative methods as “research approaches that explore and create possible futures under conditions of complexity and uncertainty” (Ross, 2018). We aim to facilitate a broader conversation regarding the future of technology and networks in education through the exploration of the use of speculative methods as research methodologies.

Recent years have seen increased interest in and discussion of education futures. Some of the emergent discussions include conversations around how technologies manifest themselves in our daily lives and educational experiences (Aagaard, 2018), and what may be appropriate pedagogies to equip learners for the future economy (Facer & Sandford, 2010). As Ross (2017) argues, envisioning futures also “inform[s] us about what matters now in the field, what issues and problems we have inherited and what debates define what can or cannot be currently thought about or imagined” (p. 220).

Considering that the current state of education, at all levels, is situated within a context of ever-evolving social, cultural, political, and technological shifts, there is a need for networked learning scholars and practitioners to explore various ways that they can imagine and design future potentials and realities. The use of speculative methods enables researchers to ascertain and discern between probable, possible, and preferable trajectories (Bell, 2017) to offer evidence-based guidance when making current decisions related to networked learning, and to explore what may or may not be possible in their own contexts. They also give us tools for taking critical perspectives on the nature of the future itself, and how we think about and work towards particular education futures (Facer 2016). In prior iterations of this workshop (Veletsianos, Belikov, & Johnson, 2019), participants appreciated being able to think creatively about the future and identify micro, meso, and macro obstacles to reaching them.

Intended Audience

Individuals interested in critically exploring and designing education futures. These include students and academics (who may be interested in applying this method to their scholarship), and practitioners such as learning designers or administrators (who may be interested in using this method in institutional change-making efforts). This workshop is appropriate for anyone with an interest in designing and developing learning environments, creating new learning experiences, exploring the opportunities and challenges created by new or current technologies, leading conversations at their institutions around potential futures for their programs and departments, and exploring a variety of other potential futures for their work and scholarship.

Speculative futures: Social media surveillance at higher education institutions

In continuing to explore speculative futures (see Gig Profs) it seems important to note that what I am posting are by no means predictions of the futures. Rather, they’re extensions of events, news, practices, and technologies that comes across my desk. To this end, I’ll include some footnotes at the end of each artifact to highlight the connections between artifact and events/news/etc. I hope to use these futures not only to highlight dystopian and utopian futures, but to explore ways for universities to aim towards better, richer, and more equitable futures.

Here’s today’s artifact. It’s a fictitious email sent from a risk and brand management company providing services to a university.

Future email describing negative sentiment toward institution and stating which individuals are related to it

Footnotes

  1. See 3/4 down the page of this news item showing a similar email from a media relations team pertaining to a SOGI event at UBC.
  2. Fama.io is a software that purports to screen for “toxic workplace behaviour.” Here’s an example of an individual whose background check included a report from this (heads up: extensive swearing).
  3. After analyzing university social media guidelines, Lough & Samek (2014) write: “Across the guidelines, framing of social media use by academic staff (even for personal use) as representative of the university assumes academic staff should have an undying loyalty to their institution. The guidelines are read as obvious attempts to control rather than merely guide, and speak to the nature of institutional over-reach in the related names of reputation (brand), responsibility (authoritarianism), safety (paternalistically understood and enforced), and the free marketplace of [the right] ideas.” — Lough, T., & Samek, T. (2014). Canadian university social software guidelines and academic freedom: An alarming labour trend. The Digital Future of Education, 21, 45-56.

Flexible learning as a value

The quote below argues that flexible learning is not a modality, as is often suggested in the literature. Rather, it is a value – a guiding principle. others have argued the same way about openness – that it is an ethos. This is a helpful way to think about flexibility. Inevitably though, it raises questions about its assumptions and outcomes: Is flexibility always “good?” For whom is it “good?” Arguing for making education “less flexible” is of course nonsensical, but the point isn’t to argue for something to be less than. It’s to ask how to think about and mobilize flexibility for education to be more equitable.

Flexible learning is a state of being in which learning and teaching is increasingly freed from the limitations of the time, place and pace of study. But this kind of flexibility does not end there. For learners, flexibility in learning may include choices in relation to entry and exit points, selection of learning activities, assessment tasks and educational resources in return for different kinds of credit and costs. And for the teachers it can involve choices in relation to the allocation of their time and the mode and methods of communication with learners as well as the educational institution. As such flexible learning, in itself, is not a mode of study. It is a value principle, like diversity or equality are in education and society more broadly. Flexibility in learning and teaching is relevant in any mode of study including campus-based face-to-face education.

Naidu, S. (2017) How flexible is flexible learning, who is to decide and what are its implications? Distance Education 38(3), 269–272. https://doi.org/10.1080/01587919.2017.1371831

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