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.
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?
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.
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.
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.
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.
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]
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: