Easing the transition from secondary school to higher education through recognition of the skills of our students

This short communication discusses research, which has investigated students‟ self-perception of their skills. This was to identify which skills they felt most and least confident in upon starting university. General and scientific and practical skills as well as skills related to improving learning were explored. The results suggested that students felt most confident in working in groups, interacting with people to obtain the necessary information and assistance, and observing chemical events and changes among others. In contrast students felt least confident in planning and presenting an oral presentation, analysing and evaluating experimental data, and using the internet and other resources to gain information. Details of how the findings were used to make effective changes to an existing module will be discussed. Furthermore, the relevance of this in terms of supporting our first year students in their transition to university-level work and subsequently planning appropriate modules will be discussed in relation to the recently published results from the UK Physical Sciences Centre Review of the Student Learning Experience in Chemistry and in light of the Department for Business Innovation and Skills Higher Ambitions and Skills for Growth papers

What guidance are researchers given on how to present network meta-analyses to end-users such as policymakers and clinicians? A systematic review

© 2014 Sullivan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Introduction: Network meta-analyses (NMAs) are complex methodological approaches that may be challenging for non-technical end-users, such as policymakers and clinicians, to understand. Consideration should be given to identifying optimal approaches to presenting NMAs that help clarify analyses. It is unclear what guidance researchers currently have on how to present and tailor NMAs to different end-users. Methods: A systematic review of NMA guidelines was conducted to identify guidance on how to present NMAs. Electronic databases and supplementary sources were searched for NMA guidelines. Presentation format details related to sample formats, target audiences, data sources, analysis methods and results were extracted and frequencies tabulated. Guideline quality was assessed following criteria developed for clinical practice guidelines. Results: Seven guidelines were included. Current guidelines focus on how to conduct NMAs but provide limited guidance to researchers on how to best present analyses to different end-users. None of the guidelines provided reporting templates. Few guidelines provided advice on tailoring presentations to different end-users, such as policymakers. Available guidance on presentation formats focused on evidence networks, characteristics of individual trials, comparisons between direct and indirect estimates and assumptions of heterogeneity and/or inconsistency. Some guidelines also provided examples of figures and tables that could be used to present information. Conclusions: Limited guidance exists for researchers on how best to present NMAs in an accessible format, especially for non-technical end-users such as policymakers and clinicians. NMA guidelines may require further integration with end-users' needs, when NMAs are used to support healthcare policy and practice decisions. Developing presentation formats that enhance understanding and accessibility of NMAs could also enhance the transparency and legitimacy of decisions informed by NMAs.The Canadian Institute of Health Research (CIHR) Drug Safety and Effectiveness Network (Funding reference number – 116573)

That’s more like they know me as a person": one primary pre-service teacher’s stories of her personal and ‘professional’ digital practices

In contributing to debates about how student-teachers might draw from personal experience in addressing digital literacy in the classroom, this paper explores the stories that one primary student-teacher told of her digital practices during a larger study of the role of digital literacy in student-teachers' lives. The paper investigates the 'recognition work' this student-teacher did as she aligned herself with different discourses and notes how themes of 'control' and 'professionalism' seemed to pattern her stories of informal and formal practices both within and beyond her professional education. The paper calls for further research into how student-teachers perceive the relevance of their personal experience to their professional role and argues for encouraging pre-service and practising teachers to tell stories of their digital practices and reflect upon the discourses which frame them

Supporting searching on small screen devices using summarisation

In recent years, small screen devices have seen widespread increase in their acceptance and use. Combining mobility with their increased technological advances many such devices can now be considered mobile information terminals. However, user interactions with small screen devices remain a challenge due to the inherent limited display capabilities. These challenges are particularly evident for tasks, such as information seeking. In this paper we assess the effectiveness of using hierarchical-query biased summaries as a means of supporting the results of an information search conducted on a small screen device, a PDA. We present the results of an experiment focused on measuring users' perception of relevance of displayed documents, in the form of automatically generated summaries of increasing length, in response to a simulated submitted query. The aim is to study experimentally how users' perception of relevance varies depending on the length of summary, in relation to the characteristics of the PDA interface on which the content is presented. Experimental results suggest that hierarchical query-biased summaries are useful and assist users in making relevance judgments

THE EFFECT OF PATIENT GENDER ON MEDICAL DECISION MAKING: THE INFLUENCE OF DECISIONAL STRESS

This research investigated the influence of patient gender as a nonclinical variable on treatment decisions made in general practice. Responses to exploratory interviews carried out with 34 GPs supported the relevance of decisional stress in general practice. Decisional conflict theory therefore provided a theoretical basis for predicting that gender differences in management would be most likely to occur under conditions of decisional stress. This is because GPs are likely to rely on gender stereotypes to simplify decision tasks as this allows them to selectively search and appraise information. Responses to interview questions regarding the influence of patient gender on decision making were analysed in order to establish a set of collective GP expectations about the characteristics and behaviour of male and female patients. Following the interview study, a subset of 23 GPs supplied information for each patient seen over approximately six surgeries, providing data for 1380 consultations in all. GPs recorded information about presenting complaints, management decisions, a range of patient characteristics, three measures of decisional stress and a measure of feeling towards patients. Log-linear analysis of these data suggested that when not feeling positively towards patients, GPs managed male and female patients presenting with certain complaints differently. Women were more likely to be prescribed drugs while men were more likely to be given advice or referral. This disparity only occurred for patients presenting with psychological and musculo-skeletal complaints. In order to identify whether consultation processes mediated these differences, corresponding audio-taped consultations also collected from the 23 GPs were analysed. Verbal interaction between GP and patient was coded according to the functional style and content of communication. However, no significant differences in either of these aspects of the consultation process emerged to explain differences in management outcome. This may be because treatment differences are mediated by implicit processes rather than by observable consultation behaviour. Research carried out in the thesis furthers the understanding of medical decision making by recognising that non-clinical factors such as patient gender and feeling towards patients, as well as medical factors influence the way that GPs manage their patients

The adaptation of cognitive behavioural therapy for adult Maori clients with depression: A pilot study

A semistructured cognitive behavioural therapy (CBT) programme for depression was adapted for use with Maori adult clients with depression. Adaptations were developed in consultation with an advisory group consisting of Maori clinical psychologists and kaumatua with experience working in mental health services. The programme was piloted with 2 participants who were clients of a Maori mental health service. The programme builds on a more traditional CBT treatment programme by integrating concepts such as whakatauki, whanaungatanga, whanau involvement, and whakapapa into the therapeutic context. Despite limitations the results demonstrate considerable promise. Depressive symptoms increased substantially in both cases and both clients reflected positively on the adaptations incorporated into therapy

Social influence analysis in microblogging platforms - a topic-sensitive based approach

The use of Social Media, particularly microblogging platforms such as Twitter, has proven to be an effective channel for promoting ideas to online audiences. In a world where information can bias public opinion it is essential to analyse the propagation and influence of information in large-scale networks. Recent research studying social media data to rank users by topical relevance have largely focused on the “retweet", “following" and “mention" relations. In this paper we propose the use of semantic profiles for deriving influential users based on the retweet subgraph of the Twitter graph. We introduce a variation of the PageRank algorithm for analysing users’ topical and entity influence based on the topical/entity relevance of a retweet relation. Experimental results show that our approach outperforms related algorithms including HITS, InDegree and Topic-Sensitive PageRank. We also introduce VisInfluence, a visualisation platform for presenting top influential users based on a topical query need

An empirical investigation of wood product information valued by young consumers

Recent media reports regarding wood products question the trustworthiness of wood origin declaration, the sustainability of production methods and the product quality. In light of this question, it becomes important to ensure consumer trust in wood and wood-based products. Current research indicates that providing product information enhances product trust and purchase intentions, while young consumers in particular seek detailed product information. However, it is necessary to determine which wood product information young consumers strongly value because providing a high amount leads to information overload. As information needs may vary between different consumer segments, the present work aims at identifying segments of young consumers and their preferred wood-product information. The importance of different wood product information items concerning the purchase decision was investigated with a German-language online survey (N = 185, age range 18–30). A cluster analysis revealed four consumer segments. Thereof, three segments (an environmentally oriented, an environmentally and quality oriented, and a quality oriented segment) valued the provision of wood product information. The preferred information types differed among the three segments. Overall, this paper provides insights into young consumers' preferences for wood product information and the consumer segments on which marketing should focus

Associating low-level features with semantic concepts using video objects and relevance feedback

The holy grail of multimedia indexing and retrieval is developing algorithms capable of imitating human abilities in distinguishing and recognising semantic concepts within the content, so that retrieval can be based on ”real world” concepts that come naturally to users. In this paper, we discuss an approach to using segmented video objects as the midlevel connection between low-level features and semantic concept description. In this paper, we consider a video object as a particular instance of a semantic concept and we model the semantic concept as an average representation of its instances. A system supporting object-based search through a test corpus is presented that allows matching presegmented objects based on automatically extracted lowlevel features. In the system, relevance feedback is employed to drive the learning of the semantic model during a regular search process