Social learning analytics: five approaches

This paper proposes that Social Learning Analytics (SLA) can be usefully thought of as a subset of learning analytics approaches. SLA focuses on how learners build knowledge together in their cultural and social settings. In the context of online social learning, it takes into account both formal and informal educational environments, including networks and communities. The paper introduces the broad rationale for SLA by reviewing some of the key drivers that make social learning so important today. Five forms of SLA are identified, including those which are inherently social, and others which have social dimensions. The paper goes on to describe early work towards implementing these analytics on SocialLearn, an online learning space in use at the UK’s Open University, and the challenges that this is raising. This work takes an iterative approach to analytics, encouraging learners to respond to and help to shape not only the analytics but also their associated recommendations

How to bring forth good social learning in teacher education through technology

A core theme of this context statement is the contribution that digital technology can make to social learning in online and face-to-face contexts. The work contributes to the field of educational technology across sectors, by considering some of the obstacles currently facing practitioners such as new curricula, new pedagogical approaches and the fast pace of change. I present a rationale for technology supporting social learning and discuss several significant themes, such as the role of learning communities in supporting the co-creation of knowledge, the pedagogic approaches that support computational thinking, digital literacy and mobile learning, and the potential of international projects and online courses to make purposeful connections between teachers and learners. Looking firstly with a distant lens at the forms of technology-enabled learning communities (TELCs) in my public works, and then with a closer lens at the interactions and behaviours within them, I present a characterisation of the learning landscape that involves a topology and typology of TELCs. These consist of five distinct forms of TELCs together with a set of five dualities that describe conditions for knowledge-building. This framework contributes towards an understanding of the epistemology of TELCs within the context of my public works. It offers descriptive and diagnostic tools for analysing the nature of learning, knowing and knowledge-building within TELCs, and demonstrates how some key variables are interrelated. As such, it has relevance to the design and evaluation of social online learning and makes a contribution to the debate around theories of learning in a digital age

Global Blended Learning Practices For Teaching And Learning, Leadership, And Professional Development

Blended Learning is a combination of online and face-to-face activities for classroom instruction or other training modalities to help develop new knowledge and skills that can be transferred to the workplace environment. The use of blended learning is expanding globally (Vaughn, 2007).  Blended learning is evident in professional development training and general classroom offerings for a number of educational programs across disciplines in global communities.  With the limitation of funding and time constraints, more professional development training organizations, programs in departments and units at universities and colleges are infusing blended learning as another educational tool to use in the delivery of instructional and managerial services.  Blended learning is a fast growing trend in traditional institutions in higher education and other organizations.    An Online Learning Survey revealed that blended learning was expanding globally to the growth rate 46% or higher per year.  Once organizational facilitators and instructional faculty members at the university and college become comfortable with blended learning applications, they are usually highly motivated to explore further new and improved ways of using blended learning for instructional services or managerial training activities (Allen, Seaman  & Garrett, 2007). Students, leaders, faculty members, and staff in various teaching and learning venues use blended learning practices. The leadership development training process continues after face-to-face activity participation with the support of blending learning technology.  Many university and college leadership programs using blended learning include at least three dimensions for students such as awareness of concepts, definition and procedures/policy, understanding of measurable skills and knowledge.  The role of technology today using blended learning has broad implications for the student or learner. The online tools available in blended courses can also significantly enhance student engagement, ensuring that all students and learners participate in course discussions and benefit from collaborative learning (NGLC, 2012).  This study will discuss a guiding definition for blended learning, benefits, team support, policy, management issues, rationale for expansion, professional development, purchasing, funding, evaluation, and lenses of the future and implications

Towards a social learning space for open educational resources

We identify a number of meanings of “Open”, as part of the motivating rationale for a social media space tuned for learning, called SocialLearn. We discuss why online social learning seems to be emerging so strongly at this point, explore features of social learning, and identify some of the dimensions that we believe characterize the social learning design space, before describing the emerging design concept and implementation

Implementing a university e‐learning strategy: levers for change within academic schools

This paper describes the implementation of an e‐learning strategy at a single higher education institution in terms of the levers used to promote effective uptake and ensure sustainable embedding. The focus of this work was at the level of the academic school using a range of change practices including the appointment of school‐based learning technologists and e‐learning champions, supporting schools to write their own strategies, a pedagogical framework of engaging with e‐learning, and curriculum development and evaluation of school‐supported projects. It is clear that the implementation of the e‐learning strategy has led to a large and increasing proportion of our students experiencing blended learning. In addition, there are initial indications that this has enhanced some learning and teaching processes. Where there has been sustainable embedding of effective e‐learning, the following levers were identified as particularly important: flexibility in practices that allow schools to contextualise their plans for change, the facilitation of communities of key staff and creating opportunities for staff to voice and challenge their beliefs about e‐learning

Community space in complex learning communities : lessons learnt

Highly complex learning communities where diverse participants collaborate to achieve multiple aims through synergy have the potential to be highly creative and productive. However the diversity and multiple aims can also mean the advantages of a community - share understand, trust and direction - are difficult to achieve, resulting in few if any of the aims being realised. We review two case studies, where the learning community is trying to achieve multiple aims, in order to explore how virtual and physical space are employed to support collaborative learning and enhance synergistic potential. The analysis shows that high levels of diversity have influenced these spaces and trends towards differentiation and holistically designed hybrid, virtual and physical, collaboration space. The characteristics of theses cases are sufficiently general to lead us to draw insights for the building of collaborative space in multi-purpose complex learning communities. These are equably applicable to learning communities which share features such as heterogeneity, multiple locations or a mixture of spaces

The Evidence Hub: harnessing the collective intelligence of communities to build evidence-based knowledge

Conventional document and discussion websites provide users with no help in assessing the quality or quantity of evidence behind any given idea. Besides, the very meaning of what evidence is may not be unequivocally defined within a community, and may require deep understanding, common ground and debate. An Evidence Hub is a tool to pool the community collective intelligence on what is evidence for an idea. It provides an infrastructure for debating and building evidence-based knowledge and practice. An Evidence Hub is best thought of as a filter onto other websites — a map that distills the most important issues, ideas and evidence from the noise by making clear why ideas and web resources may be worth further investigation. This paper describes the Evidence Hub concept and rationale, the breath of user engagement and the evolution of specific features, derived from our work with different community groups in the healthcare and educational sector

Research 2.0 : improving participation in online research communities

Web 2.0 thinking and technologies create a number of new opportunities to conduct research broadly labeled as Research 2.0. Research 2.0 is a growing area of academic and commercial interest, which includes research undertaken in online research communities. This research in progress paper explores the practice of online research communities using a case study example operated by the commercial market research company Virtual Surveys Limited (VSL) in the UK on behalf of their client United Biscuits UK Ltd. The preliminary findings are based on VSL and academics working together to improve the online research community participants’ response rate and the quality of contributions. Data collected for this study is based on meetings, participant observation, and a pilot survey of United Biscuits online research community (snackrs.com) members. Using the responses of 112 snackrs.com community members, a preliminary typology of motivational factors is proposed. This can be used to refine the recruitment and development of activities in an online research community. Also, a model for supporting online research communities to ensure longitudinal engagement based on an adaptation of Salmon’s (2004) 5 Stage Model for e-moderation is proposed, extending the 5 stages to 7 – adding the stages of selection and disengagemen

“Fairy rings” of participation: the invisible network influencing participation in online communities

Individuals participate in many different ways in online communities. There is an extensive body of research describing participation as a key metaphor in communities of practice and stressing that participatory mobility is influenced by underground multidirectional activities, directed away from the notion of periphery to the centre practices and taking the shape of expansive swarming and multidirectional pulsations. This article describes an ongoing observational study proposing a model that attempts to determine how users participate in online communities and what influences them to alter the way in which they participate. We performed daily observations on user participatory behaviour in 50 online communities using public domain – anonymous data available in the communities. The specific communities were selected because they are related to learning and support learning activities within their networks. The data observations collected were analysed using Compendium, a hypermedia knowledge mapping and sense-making tool, to represent and structure the data, make complex cross data queries, test hypotheses and build representation of real examples to support our claims. Initial findings indicate that users connect, participate, contribute and collaborate on a shared objective, transferring information and pooling knowledge within and between communities in four different modes. During their online journey, users switched between modes of participation or even remained in one specific mode, implying that the way in which users participate in an online community is not just related to the mode of participation and the level of engagement with the community but it is also due to hidden reasons or motivations, an invisible network of interactions of elements that affect the willingness of the user to participate. This layer is not immediately evident in the user actions but can be inferred by analysing user reactions. It is argued that user participation in online communities occurs in two layers; the “visible” layer of participation with the different modes; and the “invisible” layer of element interactions, similar to formations observed in nature when a radically spreading underground network of fungi activity results in a ring or arc formation of mushrooms, also known as a “fairy ring”. These underground multidirectional activities influence participation and participatory mobility. Following an open scientific inquiry approach and an open research paradigm we plan to share these observations with a wider audience of practitioners, researchers and theorists for all to test or contest our arguments, and to enrich, question, or support our model