On the Design of Social Media for Learning

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A paper by me and Terry Anderson that draws ideas about soft and hard technologies and our model of social forms together.

Abstract: This paper presents two conceptual models that we have developed for understanding ways that social media can support learning. One model relates to the “social” aspect of social media, describing the different ways that people can learn with and from each other, in one or more of three social forms: groups, networks and sets. The other model relates to the ‘media’ side of social media, describing how technologies are constructed and the roles that people play in creating and enacting them, treating them in terms of softness and hardness. The two models are complementary: neither provides a complete picture but, in combination, they help to explain how and why different uses of social media may succeed or fail and, as importantly, are intended to help us design learning activities that make most effective use of the technologies. We offer some suggestions as to how media used to support different social forms can be softened and hardened for different kinds of learning applications.
 

Address of the bookmark: http://www.mdpi.com/2076-0760/3/3/378

The Distant Crowd: Transactional Distance and New Social Media Literacies

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This is a paper for IJLM that I wrote with Terry Anderson, exploring how the distributed nature of teaching and learning in social technologies significantly messes with Michael Moore’s theory of transactional distance in all sorts of interesting ways. In it, we ponder on the literacies learners need in order to take best advantage of social media; we describe the different social forms of groups, nets and sets, and the emergent collectives that develop around them, that together form the backbone of our forthcoming book;  and we discuss different kinds of teaching presence that emerge in each form, suggesting ways of addressing the potential lack of reliability and credibility when the teacher (and thus transactional distance) is distributed (in a net), anonymous (in a set), or emergent (in a collective).

According to the date of the special issue of which it is a part, MIT Press impressively managed to publish this paper nearly two years before we finished writing it. It is true that we sent them the first draft in 2012 but it was not actually published till this month. Hard to know how to cite this.

One of the things that the paper mentions is that learning through networks can, under the right conditions, be more effective, timely and relevant than traditional group-oriented methods. This was rather delightfully and self-referentially brought home to me by the fact that I learned of the paper’s actual publication (as opposed to predicted date) via Twitter. 

Address of the bookmark: http://www.mitpressjournals.org/doi/abs/10.1162/IJLM_a_00104#.U7Hmexb07EJ