Crowdsourcing the Curriculum: Redefining E-Learning Practices Through Peer-Generated Approaches

Inclusion of open resources that employ a peer-generated approach is changing who learns what, from whom, and via what means. With these changes, there is a shift in responsibilities from the course designer to motivated and self-directed learner-participants. While much research on e-learning has addressed challenges of creating and sustaining participatory environments, the development of massive open online courses calls for new approaches that go beyond the existing research on participatory environments in institutionally defined classes. We decenter institutionally defined classes and broaden the discussion to the literature on the creation of open virtual communities and the operation of open online crowds. We draw on literatures on online organizing, learning science, and emerging educational practice to discuss how collaboration and peer production shape learning and enable “crowdsourcing the curriculum.

Social Media in Educational Practice: Faculty Present and Future Use of Social Media in Teaching

This paper presents results from a questionnaire (n=333) designed to gain an understanding of instructor motivations and experience with social media use in educational practice. Data on overall use of social media, and instructors’ use of social media in classes are applied to assess factors leading to present and future use of social media in teaching, using a framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Our findings show use in teaching is driven by factors associated with UTAUT’s Performance Expectancy construct, i.e., personal engagement with social media, and Moderating Condition of age, with older participants making greater use of social media in teaching. Other constructs associated with use are Habit (experience teaching online), Social Influence (colleagues using social media), Effort Expectancy (awareness of barriers, staying informed), Facilitating Conditions (institutional technology support) and Moderating Conditions (teaching at a two-year college)

Learning in the wild:Predicting the formation of ties in ‘Ask’ subreddit communities using ERG models

The theoretical lenses, empirical measures and analytical tools associated with social network analysis comprise a wealth of knowledge that can be used to analyse networked learning. This has popularized the use of the social network analysis approach to understand and visualize structures and dynamics in online learning networks, particularly where data could be automatically gathered and analysed. Research in the field of social network learning analysis has (a) used social network visualizations as a feedback mechanism and an intervention to enhance online social learning activities (Bakharia & Dawson, 2011; Schreurs, Teplovs, Ferguson, de Laat, & Buckingham Shum, 2013), (b) investigated what variables predicted the formation of learning ties in networked learning processes (Cho, Gay, Davidson, & Ingraffea, 2007), (c) predicted learning outcomes in online environments (Russo & Koesten, 2005), and (d) studied the nature of the learning ties (de Laat, 2006). This paper expands the understanding of the variables predicting the formation of learning ties in online informal environments. Reddit, an online news sharing site that is commonly referred to as ‘the front page of the Internet’, has been chosen as the environment for our investigation because conversations on it emerge from the contributions of members, and it combines perspectives of experts and non-experts (Moore & Chuang, 2017) taking place in a plethora of subcultures (subreddits) occurring outside traditional settings. We study two subreddit communities, ‘AskStatistics’, and ‘AskSocialScience’, in which we believe that informal learning is likely to happen in Reddit, and which offer avenues for comparison both in terms of the communication dynamics and learning processes occurring between members. We gathered all the interactions amongst the users of these two subreddit communities for a 1-year period, from January 1st, 2015 until December 31st, 2015. Exponential Random Graph models (ERGm) were employed to determine the endogenous (network) and exogenous (node attributes) factors facilitating the networked ties amongst the users of these communities. We found evidence that Redditors’ networked ties arise from network dynamics (reciprocity and transitivity) and from the Redditors’ role as a moderator in the subreddit communities. These results shed light into the understanding of the variables predicting the formation of ties in informal networked learning environments, and more broadly contribute to the development of the field of social network learning analysis

Beyond the backchannel: Leveraging Twitter to enact learning processes

Conferences provide opportunities for participants to learn with each other through social discovery, interaction and knowledge development. Increasingly, Twitter provides an online backchannel surrounding conference activities. This backchannel both augments in-person interactions, and provides a means for people not in attendance to follow and contribute to the dialogue. Thus, Twitter backchannels provide learning opportunities both for those in attendance, and for others in the wider Twitter-verse. Given that conferences are a forum in which interactive learning takes place, how might Twitter participation at conferences facilitate learning? This session intends to initiate a collaborative dialogue around this inquiry using Twitter as a catalyst, complementing the existing iConference Twitter backchannel. This exploration will focus on content and network analysis methods, discussions on learning networks, and ideation around Twitter as a learning tool. We invite participation both through attendance in the introductory and concluding sessions, as well as via Twitter throughout the conference.ye