Dorothea (Dola) Guttmann learning to drive; Montreal Portraits Women

Born April 27, 1922 in Tilsit, died June 8, 2003 Zurich

The social tasks of learning to become a physical education teacher: Considering the HPE subject department as a community of practice

Initial teacher education (ITE) students participate in various workplaces within schools and in doing so, form understandings about the numerous, and at times competing, expectations of teachers’ work. Through these experiences they form understandings about themselves as health and physical education (HPE) teachers. This paper examines the ways communities of practice within HPE subject department offices function as sites of workplace learning for student teachers. In particular this research focused on how ITE students negotiate tacit and contradictory expectations as well as social tasks during the practicum and the ways in which their understandings are mediated through participation in the workspace. Qualitative methods of survey and semi-structured interview were used to collect data on a cohort of student teachers during and following their major (10 week) practicum experience. Analysis was informed by theories of communities of practice (Wenger, 1998), workplace learning (Billett, 2001), and social task systems (Doyle, 1977). It was evident that considerable effort, attention, and energy was expended on various interrelated social tasks aimed at building positive relationships with their supervisor and other HPE teachers at the school. The social dynamics were highly nuanced and required a game-like approach. In our view the complexity that student teachers must negotiate in striving for an excellent evaluation warrants specific attention in physical education teacher education (PETE) programs. This study raises questions regarding our responsibilities in sending student teachers into contexts that might even be described as toxic. We offer some suggestions for how PETE might better support students going into practicum contexts that might be regarded as problematic workplaces.

Evolution of social behaviour in the primitively eusocial wasp Ropalidia marginata: do we need to look beyond kin selection?

Ropalidia marginata is a primitively eusocial wasp widely distributed in peninsular India. Although solitary females found a small proportion of nests, the vast majority of new nests are founded by small groups of females. In suchmultiple foundress nests, a single dominant female functions as the queen and lays eggs, while the rest function as sterile workers and care for the queen's brood. Previous attempts to understand the evolution of social behaviour and altruism in this species have employed inclusive fitness theory (kin selection) as a guiding framework. Although inclusive fitness theory is quite successful in explaining the high propensity of the wasps to found nests in groups, several features of their social organization suggest that forces other than kin selection may also have played a significant role in the evolution of this species. These features include lowering of genetic relatedness owing to polyandry and serial polygyny, nest foundation by unrelated individuals, acceptance of young non-nest-mates, a combination of well-developed nest-mate recognition and lack of intra-colony kin recognition, a combination of meek and docile queens and a decentralized self-organized work force, long reproductive queues with cryptic heir designates and conflict-free queen succession, all resulting in extreme intra-colony cooperation and inter-colony conflict.

Teaching how to Look at and View Bodies within Literature

[EN] This paper focuses on how to initiate discussions of the regulatory gaze in primary school classrooms through the study of characters in literature. It specifically focuses on two renowned characters in Spanish literature: Xola (Bernardo Atxaga) and Iholdi (Mariasun Landa). These characters are composed of a chorus of looks which in turn also look. We shall carefully reflect upon these looks and discuss how we see others, how others see us, and how we would like others to see us.

People and Business Development (PBD): Learning to deliver learning effectively

In October 2010, PBD introduced its eQual Learning VLE (virtual learning environment) to provide an online knowledge resource for its students. During the project, the company learnt many lessons about how to deliver learning effectively. In the course of a year researching VLE platforms, looking for material, and remapping NVQ courses for new QCF qualifications, the company realised that it was more important to deliver engaging and relevant content, rather than boasting the most innovative technology.

Feature Selection for Speech Emotion Recognition in Spanish and Basque: On the Use of Machine Learning to Improve Human-Computer Interaction

Study of emotions in human-computer interaction is a growing research area. This paper shows an attempt to select the most significant features for emotion recognition in spoken Basque and Spanish Languages using different methods for feature selection. RekEmozio database was used as the experimental data set. Several Machine Learning paradigms were used for the emotion classification task. Experiments were executed in three phases, using different sets of features as classification variables in each phase. Moreover, feature subset selection was applied at each phase in order to seek for the most relevant feature subset. The three phases approach was selected to check the validity of the proposed approach. Achieved results show that an instance-based learning algorithm using feature subset selection techniques based on evolutionary algorithms is the best Machine Learning paradigm in automatic emotion recognition, with all different feature sets, obtaining a mean of 80,05% emotion recognition rate in Basque and a 74,82% in Spanish. In order to check the goodness of the proposed process, a greedy searching approach (FSS-Forward) has been applied and a comparison between them is provided. Based on achieved results, a set of most relevant non-speaker dependent features is proposed for both languages and new perspectives are suggested.

Learning to perceive in the sensor motor approach: Piaget's theory of equilibration interpreted dynamically

Learning to perceive is faced with a classical paradox: if understanding is required for perception, how can we learn to perceive something new, something we do not yet understand? According to the sensorimotor approach, perception involves mastery of regular sensorimotor co-variations that depend on the agent and the environment, also known as the "laws" of sensorimotor contingencies (SMCs). In this sense, perception involves enacting relevant sensorimotor skills in each situation. It is important for this proposal that such skills can be learned and refined with experience and yet up to this date, the sensorimotor approach has had no explicit theory of perceptual learning. The situation is made more complex if we acknowledge the open-ended nature of human learning. In this paper we propose Piaget's theory of equilibration as a potential candidate to fulfill this role. This theory highlights the importance of intrinsic sensorimotor norms, in terms of the closure of sensorimotor schemes. It also explains how the equilibration of a sensorimotor organization faced with novelty or breakdowns proceeds by re-shaping pre-existing structures in coupling with dynamical regularities of the world. This way learning to perceive is guided by the equilibration of emerging forms of skillful coping with the world. We demonstrate the compatibility between Piaget's theory and the sensorimotor approach by providing a dynamical formalization of equilibration to give an explicit micro-genetic account of sensorimotor learning and, by extension, of how we learn to perceive. This allows us to draw important lessons in the form of general principles for open-ended sensorimotor learning, including the need for an intrinsic normative evaluation by the agent itself. We also explore implications of our micro-genetic account at the personal level.

From subspace learning to distance learning: A geometrical optimization approach

In this paper, we adopt a differential-geometry viewpoint to tackle the problem of learning a distance online. As this problem can be cast into the estimation of a fixed-rank positive semidefinite (PSD) matrix, we develop algorithms that exploits the rich geometry structure of the set of fixed-rank PSD matrices. We propose a method which separately updates the subspace of the matrix and its projection onto that subspace. A proper weighting of the two iterations enables to continuously interpolate between the problem of learning a subspace and learning a distance when the subspace is fixed. © 2009 IEEE.

Exploring the contribution of workplace learning to an HRD strategy in the Scottish legal profession.

Purpose – The purpose of this paper is to explore the relevance of human resource development (HRD) for law firms in the UK. It examines how the characteristics of legal professional practice in the UK, including the partnership structure, long established methods of targeting solicitors and the law society, may act as barriers to the implementation of HRD. Design/methodology/approach – The paper uses an exploratory case study research approach to investigate characteristics and issues influencing the adoption of HRD in a Scottish legal firm. Primary data are collected via semi-structured interviews with a cross-section of representatives. Findings – Despite recognition of the importance of learning, the characteristic elements of law firms, including the partnership structure; the pervasiveness of time-billed targets in the solicitor community; and HR’s profile and acceptance among the solicitor community, remain as barriers to the applicability of HRD. The research also exposes variability on the level and scope of development opportunities, an emphasis on technical skills development, and a lack of solicitors’ self-managed learning ability. Research limitations/implications – While the research findings provide a useful insight into the barriers to HRD in one legal firm, this does not allow for any generalisations being drawn from the study. Practical implications – The paper explores the suitability of workplace learning to support legal professional development. Originality/value – There is a dearth of research into HRD in legal practices in the UK. The paper contributes to the contextual influences that limit the applicability of HRD to legal professional practices.

Metabolic Engineering, metabolite profiling and machine learning to investigate the phloem-mobile signal in systemic acquired resistance in tobacco

Draper, J., Darby, R.M., Beckmann, M., Maddison, A.L., Mondhe, M., Sheldrick, C., Taylor, J., Goodacre, R., and Kell, D.B. (2002) Metabolic Engineering, metabolite profiling and machine learning to investigate the phloem-mobile signal in systemic acquired resistance in tobacco. First International Congress on Plant Metabolomics, Wageningen, The Netherlands

Homology Induction: the use of machine learning to improve sequence similarity searches

Karwath, A. King, R. Homology induction: the use of machine learning to improve sequence similarity searches. BMC Bioinformatics. 23rd April 2002. 3:11 Additional File Describes the title organims species declaration in one string [http://www.biomedcentral.com/content/supplementary/1471- 2105-3-11-S1.doc] Sponsorship: Andreas Karwath and Ross D. King were supported by the EPSRC grant GR/L62849.