Excited for #dlrn15

I am really excited for #dLRN15 because the (awesome) group organizing the conference is asking the right set of difficult questions. Various research results that colleagues and I are in the process of reporting reflect the themes of the conference (e.g., increased interdisciplinary activity in digital learning research, significant variation in how education scholars participate online, unequal student activity on digital environments), and I’m excited that space is provided for us to have these conversations. Plus, the organizers are thinking in caring ways about the conference.

The conference themes are the following:

Ethics of Collaboration

Digital networks have the potential to redraw the maps of global educational influence and enable new models of international collaboration. More commonly, however, investment has been directed towards the consolidation of existing relations of prestige and influence, extending the reach of elite institutions into larger and more dispersed markets. In this strand, we are interested in papers that explore the ethical dimension of international digital learning initiatives, and in particular, that consider ways of advancing global learning through models of reciprocity and exchange.

Individualized Learning

In this strand, we are interested in papers that examine the emergence of individualised digital and networked learning as an educational priority. What are the technical and strategic drivers of the shift to adaptive, personalised learning? How are new edu models designing frameworks for student agency? What can learners of the future be expected to manage for themselves over their life course, and what do we assume about the skills, devices and network access they will need to do this?

Systemic Impacts

In this strand, we are interested in papers that will provide insight into how faculty and institutional leaders are responding systemically to the use of digital networks. Examples might include: alternative assessment methods, prior learning assessment, competency based learning, partnerships with external capacity providers, changing forms of scholarship, academic innovation hubs (R&D), and so on. Research that assesses the impact of new systemic structures on student success will be of particular importance.

Innovation and Work

In this strand, we are interested in papers that examine the impact of networked innovation on the experience of working inside and alongside higher education. How has digital learning affected the academic profession, whether for the minority with tenure, or the much larger number working insecurely? What does it feel like to work alongside higher education from within other industries and sectors? In this strand, we particularly encourage papers that address the intersection of digital innovation, academic labour, and the education workforce of the future.

Sociocultural Implications

This strand invites concept and research papers on the relationships between networks, higher education, and sociocultural inequalities both in local and global contexts. While digital and networked higher education initiatives are often framed for the media in emancipatory terms, what effects does the changing landscape of higher education actually have on learners whose identities are marked by race/gender/class and other factors within their societies? Papers exploring societal factors, power structures, and their relationships to networked higher education are encouraged.

Learners’ experiences in MOOCs: Notetaking, social networks, and content consumption

What do learning experiences in MOOCs look like? Amy Collier, Emily Schneider and I have just published a paper that provides some in-depth answers to this question. Here is a copy of the paper in pdf. The paper is part of a special issue published by the British Journal of Educational Technology which can be found here (there are many excellent pieces in that issue, so be sure to read them).

In addition to trying to understand learner experiences, in the paper we describe that we did this study because “ease of access to large data sets from xMOOCs offered through an increasing number of centralized platforms has shifted the focus of MOOC research primarily to data science and computational methodologies, giving rise to a discourse suggesting that teaching and learning can be fully analyzed, understood and designed for by examining clickstream data”

Our abstract reads:

Researchers describe with increasing confidence what they observe participants doing in massive open online courses (MOOCs). However, our understanding of learner activities in open courses is limited by researchers’ extensive dependence on log file analyses and clickstream data to make inferences about learner behaviors. Further, the field lacks an empirical understanding of how people experience MOOCs andwhy they engage in particular activities in the ways that they do. In this paper, we report three findings derived by interviewing 13 individuals about their experiences in MOOCs. We report on learner interactions in social networks outside of MOOC platforms, notetaking, and the contexts that surround content consumption. The examination and analysis of these practices contribute to a greater understanding of the MOOC phenomenon and to the limitations of clickstream-based research methods. Based on these findings, we conclude by making pragmatic suggestions for pedagogical and technological refinements to enhance open teaching and learning.

We reported 3 main findings:

1. Interactions in social networks outside of the MOOC platform

A number of learners alluded to interactions they have had with individuals who are part of their social networks. These include digital connections with other participants in a MOOC, face-toface interactions with friends and family, and face-to-face interactions with new connections in a MOOC.

2. Notetaking

Despite the fact that none of the popular MOOC platforms support integrated notetaking at the time of writing this paper, nearly all interviewees reported taking notes while watching lecture videos. Only one interviewee never took notes. However, the tools used to take notes and the subsequent use of notes varied substantially by learner.

3. Consuming content

All individuals participating in this study discussed factors that shaped the ways they consumed MOOC content, shedding light on the context surrounding their participation. Scholars in the learning sciences have long highlighted the critical role of the environment, arguing that learning must be understood as a sociocultural phenomenon situated in context and culture (Brown, Collins & Duguid, 1989). Patterns of MOOC content consumption can be examined by clickstream data, but these contextual factors help explain why learners exhibit particular patterns of participation.

 

 

Veletsianos, G., Collier, A., & Schneider, E. (2015). Digging Deeper into Learners’ Experiences in MOOCs: Participation in social networks outside of MOOCs, Notetaking, and contexts surrounding content consumption. British Journal of Educational Technology 46(3), 570-587.

Crowdsourcing Scholarship – more updates from the Networked Scholars book

I am editing, revising, and re-writing various parts of my book, Networked Scholars. I still like the name, but I mentioned the other day on Twitter that I should rename the book to “Yes, but…”  because of the complexities and intricacies inherent in the use of social media for scholarship (as in “yes scholars network, but privilige permeates networks”). Or because I now know that trying to synthesize  research my colleagues and I did over the last 6 years isn’t an easy feat (as in “Yes, I’ll write this book, but I am  looking forward to turning my attention to other activities”).

Today I was writing about crowdsourcing and networks as places of knowledge sharing, creation, and dissemination. Here’s a relevant piece:

While Tufecki (2014) convincingly argues that practices may differ from one social media platform to another, and big data analyses focusing on one platform may not transfer to others, one common element in the use of social media for knowledge production and dissemination is the concept of crowdsourcing. Crowdsourcing refers to the process of gathering contributions from large groups of individuals in order to solve a common problem or tackle a challenge. Though readers may be familiar with modern crowdsourcing examples that are mediated by technology (e.g., wikipedia as a content crowdsourcing platform), the practice has long existed before the rise of social media. For instance, the design of the Sydney Opera House was crowdsourced. It was based on a 1955 international design competition that received 233 entries. Crowdsourcing content and ideas characterizes social media use, and scholars have capitalized on this practice to gather readings for their syllabi, activities for their courses, resources for their research, and other input – including effort – intended to solve scholarly problems.

[Not included in the book: A fun but could-have-held-my-iphone-more-horizontally picture of the lovely Sydney opera house I took a while back]

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Networked Scholars: Another update

I am editing, revising, and re-writing various parts of my book, Networked Scholars.  I can’t write any more today, so here’s a visual update:

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Doctoral students’ and academics’ use of social media – research study invitation

Update (May 13): As a result of your amazing response to this invitation, we are not currently seeking to interview any more people. We are deeply humbled by everyone’s desire to contribute and will be sharing our results in due course. Thank you!

We are inviting PhD students/candidates and academics to participate in a research study that we are conducting entitled “Academics’ use of social media: care and vulnerability.”

While the research community has studied the use of social media for teaching/research, we don’t know much about how social media are used by academics to share the challenges they face, express their vulnerabilities, and experience care online.

If you have disclosed a professional challenge that you have faced on social media (e.g. blogged eponymously or anonymously about: being denied tenure, a dissertation committee conflict, or underemployment or adjunct challenges), we invite you to participate in this study.

If you know of any colleagues who have disclosed such challenges on social media, please feel free to share this call with them.

We believe that these experiences are significant to share and discuss and we would love the opportunity to interview you to learn and write about your experiences.

If you are interested in participating in this study, please visit the following page to read the consent form that provides more details about this project: http://survey.royalroads.ca/index.php?sid=44151

We understand that this topic is very personal and discussing it with us may be difficult. If you have any questions or concerns regarding this study, please don’t hesitate to contact us. We would love to talk to you more about it.

Yours,

George & Bonnie

Dr. George Veletsianos
Canada Research Chair and Associate Professor
Royal Roads University

Dr. Bonnie Stewart
Post-Doctoral Fellow
Royal Roads University/University of Prince Edward Island

Who studies MOOCs? (or, thinking with Siemens & Downes)

If it wasn’t abundantly clear by now, George Siemens and Stephen Downes are two individuals that are making significant contributions to the field. I respect them both and I enjoy engaging with their work. They have been having a conversation  regarding the research and academic diversity in MOOCs, (here and here and here) as a result of a report that George and colleagues released on the history and current state of blended, distance, and online education.

I am writing to add to that conversation because my colleagues and I analyzed some parts of the literature published on MOOCs, and have some results that are relevant and interesting. The paper is under review but the editor gave me permission to share our findings.

We studied the disciplinary distribution of the authors who published MOOC research in 2013-2015 and compared it to the submissions to the MOOC Research Initiative (MRI) reported in Gašević et al., (2014). Our tests showed that the MOOC literature published in 2013-2015 differed significantly from the MRI submissions: our corpus had a greater representation of authors from Computer Science and the Gašević et al., corpus had a greater representation of authors from Education and Industry. In other words, our corpus was less dominated by authors from the field of education than were the MRI submissions. One of Downes criticisms is the following: “the studies are conducted by people without a background in education.” This finding lends some support to his claim, though a lot of the research on MOOCs is from people affiliated with education, but to support that claim further one could examine the content of this papers and identify whether an educational theory is guiding their investigations. 

We also compared author affiliation information in our papers with the papers used in Liyanagunawardena et al.’s (2013) review of the 2008-2012 MOOC literature. We found that the two samples differed significantly. For example, the Liyanagunawardena et al. corpus was relatively over-represented in the Independent Researcher category. This result suggests that the bodies of literature published in 2008-2012 and 2013-2015 differ in significant ways. This may or may not hold true for the writing that has occurred in blogs, unpublished reports etc. We don’t know and we haven’t studied that. 

Finally, and most significantly, we found that the disciplinary makeup of the literature is changing over time: there’s greater interdisciplinary activity in MOOC research now than in the past. This result is very interesting and its implications are worth examining. Suffice to say that this provides opportunities (can we capitalize on the expertise of one another to improve education?) and challenges (are newcomers to the field capitalizing on what we now about the science of learning?). The move to greater inter- and cross- disciplinarity in the field is evident in other initiatives. See for example, the Digital Learning Research Network.

Keep in mind that this research faces some of the same limitations raised by Downes (i.e. like Siemens, our inclusion criteria mean that some research is included while other is excluded). However, it also addresses some of those criticisms. For example, we tried to verify whether some of our results could have arisen by chance by running 10,000 computer simulations on the samples. The computer is confident that they could not have arisen by chance.

I’m hoping this paper will be out of peer-review soon so that I can share, but I’m thankful to the editor that allowed us to share our findings.

The couches of strangers, and three perspectives on the relationship between social media and scholarship

I am editing, revising, and re-writing various parts of my book, Networked Scholars.  Here’s another rough draft, which is a followup from yesterday’s entry : 

The thought of spending a night on a stranger’s couch many elicit apprehension and concern. The thought of spending time online may elicit many trepidation for scholars. Scholars are worried about the time commitment of such activities when universities may not value them. Scholars may also be concerned about personal-professional boundaries. Both couchsurfing and networked scholarship offer opportunities for growth as well: couchsurfing may allow people from different cultures to get to know one another; networked scholarship might allow scholars from disparate disciplines to meet and collaborate. Alternatively, both activities may have relatively mundane outcomes: sleeping on a stranger’s couch does not necessarily mean that one will have a life-changing experience, in the same way that going online does not mean that one will find a welcoming and supportive scholarly community. And engagement with couchsurfing or networked scholarship may require certain literacies for successful participation.

The practice of networked scholarship isn’t without perils. While advocacy for open, social, and digital scholarship features prominently in the literature (Kimmons, 2014), the reality on the ground is that scholars’ activities on social media are both exceptional and mundane, and their experiences are inspiring and harrowing – but above all, such experiences are neither universal nor pre-determined.

Siemens and Matheos (201X) argued that educational institutions reflect the societies which house them: as societies change, so do their educational institutions and the scholarly practices that they support and encourage. As social media and openness become increasingly popular, sharing economies gain hold, and online networks permeate every aspect of life, the scholarly enterprise and the work that educators and researchers do is experiencing social, cultural, and technological tensions to change. However, we should be careful in our attribution of causality. Academics may have always wanted to share more freely, connect in better ways, and social media simply supported that desire. 

At the same time, we should be weary of the perspective that technologies are neutral tools that merely respond to the needs of users. Technologies have assumptions and worldviews embedded in their design that shape the experiences and behaviours of their users. The algorithms used by Facebook to deliver tailored timelines and the recommender systems used by Amazon are representative examples of the ways that technologies are influenced by their developers worldviews. 

Thus, the relationship between academic practices and technologies is negotiated and complex. It can be seen via three perspectives.

The first perspective suggests that social media (and their design and affordances) shape scholarship and participation. This is the technological deterministic perspective that is often revealed in narratives pertaining to social media having an impact on scholarship. Institutional encouragement to use social media to increase scholarly reach and citations falls under this perspective. 

The second suggests that teaching and scholarship (and the structures, rewards, practices of academia) shape how social media are used. This perspective reflects a social shaping of technology approach. This perspective recognizes that networked scholarly practices are shaped by social, cultural, economic, and political factors, rejecting the notion that technologies (and practices) are deterministic. 

The third perspective is an extension of the second and anticipate that academics adapt and appropriate social media to fulfill personal and professional desires and values. This perspective holds that, with adequate information and evidence, learners, instructors, and researchers have the agency to accept or reject any particular technology or to find alternative uses for it that will better serve their needs. Such agency is recognized in scholars’ strategic uses of technology in scholarship broadly, and in teaching and research in particular.

These three perspectives are often unstated, but permeate the literature and conversation pertaining to social media use in education and scholarship.

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