4 resultados para new web based frameworks

em University of Southampton, United Kingdom


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Web 2.0 is sometimes described as the read/write web, giving everyday users the chance to create and share information as well as to consume information created by others. Social media systems are built on this foundation of participation and sharing, but what is the mindset of these users, and are they quite so everyday as we might suppose? The skills and attitudes held by users can be described as their literacy, and there has been a lot of debate over the last few years about how to describe these literacies, and design for them. One field that has been changed radically by this notion is Technology Enhanced Learning (TEL) where a fierce debate has raged about the potential of a new generation of highly literate digital natives, and Edupunks have argued for open and personal systems that challenge traditional models of institutional control. In this session we look at the arguments surrounding digital literacy and examine TEL as an example of how social media can change an application domain.

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Web Science - Group 15 created an interactive infographic which informs prospective applicants about the new Web Science undergraduate degrees offered at the University of Southampton, starting in October 2013. Web Science as a new and exciting field of research is also briefly outlined, supported by two video interviews with Dr Les Car, a web scientist.

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This lecture introduces UX theory and focusses on applying this to web based design.

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The proliferation of Web-based learning objects makes finding and evaluating online resources problematic. While established Learning Analytics methods use Web interaction to evaluate learner engagement, there is uncertainty regarding the appropriateness of these measures. In this paper we propose a method for evaluating pedagogical activity in Web-based comments using a pedagogical framework, and present a preliminary study that assigns a Pedagogical Value (PV) to comments. This has value as it categorises discussion in terms of pedagogical activity rather than Web interaction. Results show that PV is distinct from typical interactional measures; there are negative or insignificant correlations with established Learning Analytics methods, but strong correlations with relevant linguistic indicators of learning, suggesting that the use of pedagogical frameworks may produce more accurate indicators than interaction analysis, and that linguistic rather than interaction analysis has the potential to automatically identify learning behaviour.