The UK Professional Standards Framework for teaching and supporting learning in higher education

The UK Professional Standards Framework (UK PSF) for teaching and supporting learning, launched in February 2006, is a flexible framework which uses a descriptor-based approach to professional standards. There are three standard descriptors each of which is applicable to a number of staff roles and to different career stages of those engaged in teaching and supporting learning. The standard descriptors are underpinned by areas of professional activity, core knowledge and professional values. The framework provides a reference point for institutions and individuals as well as supporting ongoing development within any one standard descriptor.

Active citizenship

The aim of this activity is to allow students to explore the nature of political action, which can be thought of as a form of active as opposed to passive citizenship. By learning about and reflecting upon past instances of political action, or activism, students will be able to start thinking about what is likely to make a campaign successful. It is intended that these reflections can then be applied to their own actions as active citizens. It is hoped that the historical case studies combined with the information provided on different campaigning tools and methods will help to make students feel empowered and inspired to take action. In setting students the task of planning an action, it is expected that time management and organizational skills will be improved. It is believed that by putting themselves in the shoes of activists and going through the process of planning an action, they will have an engaged learning experience. The reflective element of the activity encourages students to form and defend opinions on the relative strengths and weaknesses of different campaigning methods, and on the acceptable limits to political action. This learning activity has been designed presuming no prior knowledge of activism or its methods, and has been successfully used with first year undergraduate students from a variety of disciplines. However, the activity provides a basis for more in-depth study of several issues, or alternatively study into further examples of campaign organizations. There are 3 different learning activities presented on this web site. For a dynamic and well-illustrated introduction to contemporary activism, see Jordan, T. (2002) Activism!: Direct Action, Hacktivism and the Future of Society, London: Reaktion Books Ltd. This material is also available via JORUM.

Curriculum Innovation Network Conference - 18th & 19th January 2011

Presentations from the Curriculum Innovation Network Conference that took place on 18th & 19th January 2011 at the University of Southampton. The ambition was to bring together a global network of universities who are engaged in institution-wide curriculum innovation. The focus of the network is to share learning and practice in a collaborative way, to identify best practice and to explore practical solutions to the challenges we face. Keynote speakers from across the world and colleagues from leading universities came together to share their experience on approaches to transforming their curricula and the overall learning experience of their students. The challenges of doing this are significant, and there is much that we can learn from each other as we seek to transform the learning environment of our institutions. We hope that all who attend found these two days of great value in starting and enhancing a global dialogue about education transformation. Additional presentations will be uploaded in due course. Please note the copy right of these presentations remains with the author.

WAIS Seminar:LinkedTV: Building the Future of Television

Abstract Broadcast video can be augmented with links to information related to the topics in the video and to other related entities. Viewers are sufficiently digitally literate that they can carry out their own searches during or after a broadcast. We investigate what types of information viewers would actually like to see while being engaged in watching a news broadcast. On the base of this we have designed user interfaces for passive and active uses of a second screen to accompany a news broadcast. A next step is to understand the specific types of information users would like to consult and investigate whether these can be automatically generated.

On lions, impala, and bigraphs: modelling interactions in Ubiquitous Computing

As ubiquitous systems have moved out of the lab and into the world the need to think more systematically about how there are realised has grown. This talk will present intradisciplinary work I have been engaged in with other computing colleagues on how we might develop more formal models and understanding of ubiquitous computing systems. The formal modelling of computing systems has proved valuable in areas as diverse as reliability, security and robustness. However, the emergence of ubiquitous computing raises new challenges for formal modelling due to their contextual nature and dependence on unreliable sensing systems. In this work we undertook an exploration of modelling an example ubiquitous system called the Savannah game using the approach of bigraphical rewriting systems. This required an unusual intra-disciplinary dialogue between formal computing and human- computer interaction researchers to model systematically four perspectives on Savannah: computational, physical, human and technical. Each perspective in turn drew upon a range of different modelling traditions. For example, the human perspective built upon previous work on proxemics, which uses physical distance as a means to understand interaction. In this talk I hope to show how our model explains observed inconsistencies in Savannah and ex- tend it to resolve these. I will then reflect on the need for intradisciplinary work of this form and the importance of the bigraph diagrammatic form to support this form of engagement. Speaker Biography Tom Rodden Tom Rodden (rodden.info) is a Professor of Interactive Computing at the University of Nottingham. His research brings together a range of human and technical disciplines, technologies and techniques to tackle the human, social, ethical and technical challenges involved in ubiquitous computing and the increasing used of personal data. He leads the Mixed Reality Laboratory (www.mrl.nott.ac.uk) an interdisciplinary research facility that is home of a team of over 40 researchers. He founded and currently co-directs the Horizon Digital Economy Research Institute (www.horizon.ac.uk), a university wide interdisciplinary research centre focusing on ethical use of our growing digital footprint. He has previously directed the EPSRC Equator IRC (www.equator.ac.uk) a national interdisciplinary research collaboration exploring the place of digital interaction in our everyday world. He is a fellow of the British Computer Society and the ACM and was elected to the ACM SIGCHI Academy in 2009 (http://www.sigchi.org/about/awards/).

Hierarchical Prediction Machines and Big Data Analytics

An emerging consensus in cognitive science views the biological brain as a hierarchically-organized predictive processing system. This is a system in which higher-order regions are continuously attempting to predict the activity of lower-order regions at a variety of (increasingly abstract) spatial and temporal scales. The brain is thus revealed as a hierarchical prediction machine that is constantly engaged in the effort to predict the flow of information originating from the sensory surfaces. Such a view seems to afford a great deal of explanatory leverage when it comes to a broad swathe of seemingly disparate psychological phenomena (e.g., learning, memory, perception, action, emotion, planning, reason, imagination, and conscious experience). In the most positive case, the predictive processing story seems to provide our first glimpse at what a unified (computationally-tractable and neurobiological plausible) account of human psychology might look like. This obviously marks out one reason why such models should be the focus of current empirical and theoretical attention. Another reason, however, is rooted in the potential of such models to advance the current state-of-the-art in machine intelligence and machine learning. Interestingly, the vision of the brain as a hierarchical prediction machine is one that establishes contact with work that goes under the heading of 'deep learning'. Deep learning systems thus often attempt to make use of predictive processing schemes and (increasingly abstract) generative models as a means of supporting the analysis of large data sets. But are such computational systems sufficient (by themselves) to provide a route to general human-level analytic capabilities? I will argue that they are not and that closer attention to a broader range of forces and factors (many of which are not confined to the neural realm) may be required to understand what it is that gives human cognition its distinctive (and largely unique) flavour. The vision that emerges is one of 'homomimetic deep learning systems', systems that situate a hierarchically-organized predictive processing core within a larger nexus of developmental, behavioural, symbolic, technological and social influences. Relative to that vision, I suggest that we should see the Web as a form of 'cognitive ecology', one that is as much involved with the transformation of machine intelligence as it is with the progressive reshaping of our own cognitive capabilities.