Moving forward: teacher training

In this article I want to explore the future of training for design and technology teachers. Teaching has moved from the non-graduate profession it once was to a position where the government are talking about a desire for teaching to become a masters-level profession (TDA 2010). However the last government followed by the coalition are talking about ending the undergraduate route into teaching. At Nottingham Trent University (NTU) we have a long history of training design and technology teachers by a variety of routes, but what does the future hold? Do you as design and technology teachers know what to expect from the NQT’s currently coming out of our ITT programmes

Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors

Social isolation and loneliness are major health concerns in young and older people. Traditional approaches to monitor the level of social interaction rely on self-reports. The goal of this study was to investigate if wearable textile-based sensors can be used to accurately detect if the user is talking as a future indicator of social interaction. In a laboratory study, fifteen healthy young participants were asked to talk while performing daily activities such as sitting, standing and walking. It is known that the breathing pattern differs significantly between normal and speech breathing (i.e., talking). We integrated resistive stretch sensors into wearable elastic bands, with a future integration into clothing in mind, to record the expansion and contraction of the chest and abdomen while breathing. We developed an algorithm incorporating machine learning and evaluated its performance in distinguishing between periods of talking and non-talking. In an intra-subject analysis, our algorithm detected talking with an average accuracy of 85%. The highest accuracy of 88% was achieved during sitting and the lowest accuracy of 80.6% during walking. Complete segments of talking were correctly identified with 96% accuracy. From the evaluated machine learning algorithms, the random forest classifier performed best on our dataset. We demonstrate that wearable textile-based sensors in combination with machine learning can be used to detect when the user is talking. In the future, this approach may be used as an indicator of social interaction to prevent social isolation and loneliness

It is Time to Stop Talking and Start Doing: The Views of People with Learning Disability on Future Research

There is a need for people with learning disabilities to be involved in directing research to ensure that the research is meaningful to those it concerns. This paper describes a scoping exercise to determine the research priorities for the field of learning disabilities for the next ten years. It focuses specifically on the role of people with learning disabilities in setting this research agenda and describes the methodology used, which involved a series of consultation workshops. Analysis of the data from these generated six priority themes: access to health care; getting good support; the right to relationships; housing options; work and personal finance; inclusion in the community. The findings showed that it is possible for people with learning disabilities to participate in setting a research agenda and there was agreement between the different stakeholders on the fundamental priorities. Moreover, the inclusion of people with learning disabilities provided a perspective that could not be adequately represented by other stakeholder groups. People with learning disabilities were concerned that research has a meaningful impact and can lead to demonstrable improvements in care. In order for this to happen there is a need for widespread dissemination of accessible outputs that reach the relevant stakeholders

ALTERNATIVE ENERGY SOURCES: ELECTRIC CURRENT FROM LIVING PLANTS

Today we would venture to say that the global changes of the twenty-first century evoke the need for alternative, environmentally friendly energy sources. From ancient times people used the energy of the sun, water and wind. At present, supporters of the traditional energy, which became a symbol of mind and science, are against the return to the past. But the world has come to another point of view, where the less harmful to the environment production comes to the fore. Therefore, it is worth talking not about returning to the past, but about rethinking the present and innovative look to the future

Regional voices talk theatre: audience development for the performing arts

[Abstract]: Audience development is somewhat of a ‘buzz word’ within the Australian performing arts sector at present. However, rather than actually engage with audiences and with non-attenders to discover how to best service the community, most performing arts organisations approach audience development from a product-centred viewpoint. In direct contrast to this, the Talking Theatre project (2004-2006) was implemented in regional Queensland and in the Northern Territory in Australia as an audience development initiative focused on the consumer. The project sought to assist performing arts centres (PACs) to better engage with their local communities and to build new audiences for the future. In particular, the research aimed to understand non-attenders; their reasons for non-attendance, and their reactions to a range of live performances they experienced under study conditions. The Talking Theatre project provided the vehicle for introduction, communication and relationship building to occur to assist in attitudinal and behavioural change. The non-attenders enjoyed their experiences at the PACs and have begun attending performances outside of study conditions. Limited awareness of the performing arts’ relevance to their lives combined with a lack of positive peer influence to attend, were the chief deterrents to attendance for the participants in the study

The Talking Points Tool: A Brief Intervention to Support Predoctoral Student and Faculty Advisor Communication

Excellent relationships between predoctoral students and faculty supervisors can lay the foundation for a satisfying degree program and productive future. Contrarily, poor relationships can frustrate both students and supervisors. We examined mentoring experiences focused on career development. Students desired enhanced career mentoring but were uncomfortable approaching their supervisors with these concerns. Faculty advisors reported willingness to support students’ career development, yet expected students to initiate those conversations. Responding to this communication disconnect, we developed a brief intervention to facilitate conversations—a Talking Points Tool (TPT). In this paper, we examine whether the TPT influenced students’ career conversations and development.Cockrell School of Engineerin

Predicting and improving the recognition of emotions

The technological world is moving towards more effective and friendly human computer interaction. A key factor of these emerging requirements is the ability of future systems to recognise human emotions, since emotional information is an important part of human-human communication and is therefore expected to be essential in natural and intelligent human-computer interaction. Extensive research has been done on emotion recognition using facial expressions, but all of these methods rely mainly on the results of some classifier based on the apparent expressions. However, the results of classifier may be badly affected by the noise including occlusions, inappropriate lighting conditions, sudden movement of head and body, talking, and other possible problems. In this paper, we propose a system using exponential moving averages and Markov chain to improve the classifier results and somewhat predict the future emotions by taking into account the current as well as previous emotions