1,650 research outputs found
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Use of Questions to Facilitate Social Learning in a Web 2.0 Environment
Online social learning involves distributed learners interacting through the use of Web 2.0. In many cases, Web 2.0 interactions are limited to information exchange and do not provoke knowledge construction. Studies of concept mapping suggest that engaging with social learning via a question could encourage meaningful interaction, although this would be likely to depend upon affective conditions and the effort involved in asking and responding to these questions. In order to investigate this, the interactions of 1,229 participants on a social learning site were studied over an 11-week period. Data were also collected from a questionnaire distributed to all participants, and from feedback contributed during the project. These were analysed thematically to investigate the ways in which questions can be used to facilitate learning in a Web 2.0 environment. Analysis showed that participants were interested in broad topic areas, themes and issues rather than specific questions about these areas. They did not treat questions related to learning about the community and the website in the same way as questions related to learning about subject areas and content. The social use of questions online was identified as supporting meaningful learning interaction in nine ways
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Learning at Scale: Using an Evidence Hub To Make Sense of What We Know
The large datasets produced by learning at scale, and the need for ways of dealing with high learner/educator ratios, mean that MOOCs and related environments are frequently used for the deployment and development of learning analytics. Despite the current proliferation of analytics, there is as yet relatively little hard evidence of their effectiveness. The Evidence Hub developed by the Learning Analytics Community Exchange (LACE) provides a way of collating and filtering the available evidence in order to support the use of analytics and to target future studies to fill the gaps in our knowledge
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Virtual worlds are authentic sites for learning
This chapter considers how ‘meaningful learning’ can be understood in the context of knowledge-age skills. Through a study conducted in Second Life™, it investigates whether terms such as ‘authentic’, ‘active’ and ‘collaborative’ can be applied to activities undertaken in virtual worlds. It examines the knowledge-age skills employed in virtual worlds, relating these skills to the characteristics of the learning environment. Finally, it asks whether the distinction between meaningful and non-meaningful learning environments is more important for the development of knowledge-age skills than the distinction between formal and informal situations or between staff-run and student-run situations
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Learning Analytics Community Exchange: Evidence Hub
This poster sets out the background and development of the LACE Evidence Hub, a site that gathers evidence about learning analytics in an accessible form. The poster also describes the functionality of the site, summarises its quantitative and thematic content to date and the state of evidence. In addition, it encourages people to add to and make use of the Hub
Learning analytics to identify exploratory dialogue within synchronous text chat
While generic web analytics tend to focus on easily harvested quantitative data, Learning Analytics will often seek qualitative understanding of the context and meaning of this information. This is critical in the case of dialogue, which may be employed to share knowledge and jointly construct understandings, but which also involves many superficial exchanges. Previous studies have validated a particular pattern of “exploratory dialogue” in learning environments to signify sharing, challenge, evaluation and careful consideration by participants. This study investigates the use of sociocultural discourse analysis to analyse synchronous text chat during an online conference. Key words and phrases indicative of exploratory dialogue were identified in these exchanges, and peaks of exploratory dialogue were associated with periods set aside for discussion and keynote speakers. Fewer individuals posted at these times, but meaningful discussion outweighed trivial exchanges. If further analysis confirms the validity of these markers as learning analytics, they could be used by recommendation engines to support learners and teachers in locating dialogue exchanges where deeper learning appears to be taking place
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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
Improvable objects and attached dialogue: new literacy practices employed by learners to build knowledge together in asynchronous settings
Asynchronous online dialogue offers advantages to learners, but has appeared to involve only limited use of new literacy practices. To investigate this, a multimodal approach was applied to asynchronous dialogue. The study analysed the online discussions of small groups of university students as they developed collaboratively authored documents. Sociocultural discourse analysis of the dialogue was combined with visual analysis of its structural elements. The groups were found to employ new literacies that supported the joint construction of knowledge. The documents on which they worked together functioned as ‘improvable objects’ and the development of these was associated with engagement in ‘attached dialogue’. By investigating a wider range of conference dialogue than has previously been explored, it was found that engaging in attached dialogue associated with collaborative authorship of improvable objects prompts groups of online learners to share knowledge, challenge ideas, justify opinions, evaluate evidence and consider options
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