The new inset: a transformation scene

The work of Lawrence Stenhouse strongly promoted the view that curriculum development was dependent upon teacher development and as such, has had a great impact on the in‐service education of teachers. Such a teacher‐centred model is now called in question by recent DES moves in relation to the funding and control of INSET. By exploiting the mechanisms of categorical funding, as refined by the MSC, it seems likely that the Department will be able to impose a conception of ‘curriculum led staff development’, which originated in Further Education. Such a conception assumes that curriculum is a given and that the development needs of teachers may be deduced from it, thus increasingly restricting them to the business of execution and not of conception.     

Post-secondary Science Students’ Explanations of <Emphasis Type="Italic">Randomness</Emphasis> and <Emphasis Type="Italic">Variation</Emphasis> and Implications for Science Learning

The concepts of randomness and variation are pervasive in science. The purpose of this study was to document how post-secondary life science students explain randomness and variation, infer relationships between their explanations, and ability to describe and identify appropriate and inappropriate variation, and determine if students can identify sources of variation. An instrument designed to test statistical concepts was administered to 282 college students from three universities, ranging from introductory non-science majors to science graduate students. Students readily distinguished between causes of variation. A naïve no-pattern concept of randomness persisted from first-year non-science majors to senior-level science majors, contributing to incorrect responses on the variation instrument. Students’ expressions of randomness were better predictors of performance on the variation instrument than their expressions of variation. It is argued that inclusion of everyday language uses of randomness in instruction can bridge the gap between vernacular and scientific uses of this term.     

Using word embeddings in Twitter election classification

Word embeddings and convolutional neural networks (CNN) have attracted extensive attention in various classification tasks for Twitter, e.g. sentiment classification. However, the effect of the configuration used to generate the word embeddings on the classification performance has not been studied in the existing literature. In this paper, using a Twitter election classification task that aims to detect election-related tweets, we investigate the impact of the background dataset used to train the embedding models, as well as the parameters of the word embedding training process, namely the context window size, the dimensionality and the number of negative samples, on the attained classification performance. By comparing the classification results of word embedding models that have been trained using different background corpora (e.g. Wikipedia articles and Twitter microposts), we show that the background data should align with the Twitter classification dataset both in data type and time period to achieve significantly better performance compared to baselines such as SVM with TF-IDF. Moreover, by evaluating the results of word embedding models trained using various context window sizes and dimensionalities, we find that large context window and dimension sizes are preferable to improve the performance. However, the number of negative samples parameter does not significantly affect the performance of the CNN classifiers. Our experimental results also show that choosing the correct word embedding model for use with CNN leads to statistically significant improvements over various baselines such as random, SVM with TF-IDF and SVM with word embeddings. Finally, for out-of-vocabulary (OOV) words that are not available in the learned word embedding models, we show that a simple OOV strategy to randomly initialise the OOV words without any prior knowledge is sufficient to attain a good classification performance among the current OOV strategies (e.g. a random initialisation using statistics of the pre-trained word embedding models).     

Cognitive Empathy and the Transition to Independent Graduate Study in Mathematics

Thirteen Ph.D. students took part in interviews focussed on the nature of their own learning of mathematics. In analysing these interviews an unexpected category emerged concerning the students awareness of others as having particular types of learning goal. In this paper we explore the three levels which we discerned within this category and link them to the notion of cognitive empathy. We suggest that differences in ones own cognitive style are linked to differences in the ability to empathise with those who have alternative learning goals. We also consider how these two features – cognitive style and cognitive empathy – may come to be linked.     

Clinical librarians,a new tribe in the UK: roles and responsibilities

Aims: The aims of this research were to determine the background, education, training experience, roles and responsibilities of practising Clinical Librarians (CL) in the UK. This paper reports the findings of a survey undertaken in 2007 at the third Clinical Librarian conference. This research builds on research undertaken by Harrison and Sargeant in 2002 and Ward in 2004, and can be considered as part of a longitudinal study of the role of the CL in the UK. Objectives: The objectives of the research were to define and gain a broad understanding of the role of the CL in the UK highlighting similarities and differences amongst the professionals and provide evidence for a baseline of skills and activities for the CL role. The type of sampling used was Judgemental. Results/analysis: Results/analysis detail the skills and activities undertaken by CLs. Searching for information for Clinicians was the activity most frequently undertaken. Developing good relationships with other healthcare professionals was considered essential. Two‐thirds of the respondents held a postgraduate library qualification. Conclusions: Crucially a new model for the UK CL role is derived drawing on the findings of this study and the existing literature.     

Explaining outsourcing in health,sport and physical education

Outsourcing is a complex, controversial and pervasive practice that is increasingly becoming a matter of concern for educational researchers. This article contributes to this literature by examining outsourcing practices related to health, sport and physical education (HSPE). Specifically, it reports data on specialist health and physical education (HPE) teachers', principals' and external providers' reasons for participating in outsourcing arrangements. These data were obtained from a collective case study of six schools and the external providers that they outsourced HSPE to over a 12-month period, using semi-structured interviews and overt participant observations. The findings illustrate the ways in which the informants explained their outsourcing practices using a variety of educationally and organisationally oriented reasons. Educational value, human resources (e.g. expertise), physical resources (e.g. facilities) and symbolic resources (e.g. status) were reasons for outsourcing HSPE that were commonly cited by principals and specialist HPE teachers. Among external providers, educational value, income generation and promotion/advertising were frequently cited to explain their work with and for schools. These findings illustrate the ways in which outsourcing practices in HSPE articulate with, and are implicated in, broader educational privatisations. They also highlight the boundaries that outsourcing practices trouble or reinforce, such as those marking the purview of markets, membership of the HPE profession and the constitution of expertise.