The knowledge base of subject-matter experts in teaching : A case study of a professional scientist as a beginning teacher

One method of addressing the shortage of science and mathematics teachers is to train scientists and other science-related professionals to become teachers. Advocates argue that as discipline experts these career changers can relate the subject matter knowledge to various contexts and applications in teaching. In this paper, through interviews and classroom observations with a former scientist and her students, we examine how one career changer used her expertise in microbiology to teach microscopy. These data provided the basis for a description of the teacher’s instruction which was then analysed for components of domain knowledge for teaching. Consistent with the literature, the findings revealed that this career changer needed to develop her pedagogical knowledge. However, an interesting finding was that the teacher’s subject matter as a science teacher differed substantively from her knowledge as a scientist. This finding challenges the assumption that subject matter is readily transferable across professions and provides insight into how to better prepare and support career changers to transition from scientist to science teacher.

Open problem: Shifting experts on easy data

A number of online algorithms have been developed that have small additional loss (regret) compared to the best “shifting expert”. In this model, there is a set of experts and the comparator is the best partition of the trial sequence into a small number of segments, where the expert of smallest loss is chosen in each segment. The regret is typically defined for worst-case data / loss sequences. There has been a recent surge of interest in online algorithms that combine good worst-case guarantees with much improved performance on easy data. A practically relevant class of easy data is the case when the loss of each expert is iid and the best and second best experts have a gap between their mean loss. In the full information setting, the FlipFlop algorithm by De Rooij et al. (2014) combines the best of the iid optimal Follow-The-Leader (FL) and the worst-case-safe Hedge algorithms, whereas in the bandit information case SAO by Bubeck and Slivkins (2012) competes with the iid optimal UCB and the worst-case-safe EXP3. We ask the same question for the shifting expert problem. First, we ask what are the simple and efficient algorithms for the shifting experts problem when the loss sequence in each segment is iid with respect to a fixed but unknown distribution. Second, we ask how to efficiently unite the performance of such algorithms on easy data with worst-case robustness. A particular intriguing open problem is the case when the comparator shifts within a small subset of experts from a large set under the assumption that the losses in each segment are iid.

Second-order quantile methods for experts and combinatorial games

We aim to design strategies for sequential decision making that adjust to the difficulty of the learning problem. We study this question both in the setting of prediction with expert advice, and for more general combinatorial decision tasks. We are not satisfied with just guaranteeing minimax regret rates, but we want our algorithms to perform significantly better on easy data. Two popular ways to formalize such adaptivity are second-order regret bounds and quantile bounds. The underlying notions of 'easy data', which may be paraphrased as "the learning problem has small variance" and "multiple decisions are useful", are synergetic. But even though there are sophisticated algorithms that exploit one of the two, no existing algorithm is able to adapt to both. In this paper we outline a new method for obtaining such adaptive algorithms, based on a potential function that aggregates a range of learning rates (which are essential tuning parameters). By choosing the right prior we construct efficient algorithms and show that they reap both benefits by proving the first bounds that are both second-order and incorporate quantiles.

How do experts think about statistics? Hints for improving undergraduate and postgraduate training

Experts are increasingly being called upon to quantify their knowledge, particularly in situations where data is not yet available or of limited relevance. In many cases this involves asking experts to estimate probabilities. For example experts, in ecology or related fields, might be called upon to estimate probabilities of incidence or abundance of species, and how they relate to environmental factors. Although many ecologists undergo some training in statistics at undergraduate and postgraduate levels, this does not necessarily focus on interpretations of probabilities. More accurate elicitation can be obtained by training experts prior to elicitation, and if necessary tailoring elicitation to address the expert’s strengths and weaknesses. Here we address the first step of diagnosing conceptual understanding of probabilities. We refer to the psychological literature which identifies several common biases or fallacies that arise during elicitation. These form the basis for developing a diagnostic questionnaire, as a tool for supporting accurate elicitation, particularly when several experts or elicitors are involved. We report on a qualitative assessment of results from a pilot of this questionnaire. These results raise several implications for training experts, not only prior to elicitation, but more strategically by targeting them whilst still undergraduate or postgraduate students.

Sensory auditory processing and intuitive sound detection : an investigation of musical experts and nonexperts

The auditory system can detect occasional changes (deviants) in acoustic regularities without the need for subjects to focus their attention on the sound material. Deviant detection is reflected in the elicitation of the mismatch negativity component (MMN) of the event-related potentials. In the studies presented in this thesis, the MMN is used to investigate the auditory abilities for detecting similarities and regularities in sound streams. To investigate the limits of these processes, professional musicians have been tested in some of the studies. The results show that auditory grouping is already more advanced in musicians than in nonmusicians and that the auditory system of musicians can, unlike that of nonmusicians, detect a numerical regularity of always four tones in a series. These results suggest that sensory auditory processing in musicians is not only a fine tuning of universal abilities, but is also qualitatively more advanced than in nonmusicians. In addition, the relationship between the auditory change-detection function and perception is examined. It is shown that, contrary to the generally accepted view, MMN elicitation does not necessarily correlate with perception. The outcome of the auditory change-detection function can be implicit and the implicit knowledge of the sound structure can, after training, be utilized for behaviorally correct intuitive sound detection. These results illustrate the automatic character of the sensory change detection function.

The clinical reasoning characteristics of diagnostic experts

The aim of this study was to identify and describe the clinical reasoning characteristics of diagnostic experts. A group of 21 experienced general practitioners were asked to complete the Diagnostic Thinking Inventory (DTI) and a set of 10 clinical reasoning problems (CRPs) to evaluate their clinical reasoning. Both the DTI and the CRPs were scored, and the CRP response patterns of each GP examined in terms of the number and type of errors contained in them. Analysis of these data showed that six GPs were able to reach the correct diagnosis using significantly less clinical information than their colleagues. These GPs also made significantly fewer interpretation errors but scored lower on both the DTI and the CRPs. Additionally, this analysis showed that more than 20% of misdiagnoses occurred despite no errors being made in the identification and interpretation of relevant clinical information. These results indicate that these six GPs diagnose efficiently, effectively and accurately using relatively few clinical data and can therefore be classified as diagnostic experts. They also indicate that a major cause of misdiagnoses is failure to properly integrate clinical data. We suggest that increased emphasis on this step in the reasoning process should prove beneficial to the development of clinical reasoning skill in undergraduate medical students.

Building Information Modelling – Experts´ Views on Standardisation and Industry Deployment

The goal of the single building information model has existed for at least thirty years and various standards have been published leading up to the ten-year development of the Industry Foundation Classes. These have been initiatives from researchers, software developers and standards committees. Now large property owners are becoming aware of the benefits of moving IT tools from specific applications towards more comprehensive solutions. This study addresses the state of Building Information Models and the conditions necessary for them to become more widely used. It is a qualitative study based on information from a number of international experts and has asked a series of questions about the feasibility of BIMs, the conditions necessary for their success, and the role of standards with particular reference to the IFCs. Some key statements were distilled from the diverse answers received and indicate that BIM solutions appear too complex for many and may need to be applied in limited areas initially. Standards are generally supported but not applied rigorously and a range of these are relevant to BIM. Benefits will depend upon the building procurement methods used and there should be special roles within the project team to manage information. Case studies are starting to appear and these could be used for publicity. The IFCs are rather oversold and their complexities should be hidden within simple-to-use software. Inevitably major questions remain and property owners may be the key to answering some of these. A framework for presenting standards, backed up by case studies of successful projects, is the solution proposed to provide better information on where particular BIM standards and solutions should be applied in building projects.

Elementos da legislação de telecomunicações, informática e comunicação social

A legislação brasileira de telecomunicações, informática e comunicação social vem passando por mudanças recentes, que requerem atenção das assessorias parlamentares. Uma revisão dos dispositivos vigentes pode oferecer uma perspectiva das inovações que estão em discussão e de novos dispositivos que poderão vir a ser oferecidos em breve.

Diretrizes para a elaboração de uma metodologia de gestão de projetos integrada entre a CODIS e a CESAN no Centro de Informática da Câmara dos Deputados

Propõe diretrizes para a elaboração de uma metodologia de gestão dos projetos de software atualmente desenvolvidos pelas coordenações CODIS e CESAN no Centro de Informática da Câmara dos Deputados, de uma forma integrada. A gerência de projetos de software é atualmente um dos fatores mais importantes para a construção de produtos com maior qualidade, com o menor custo e no menor prazo. Uma metodologia de gerenciamento de projetos de software permite padronizar, sistematizar e formalizar esta atividade, trazendo inúmeros benefícios à organização.

Psicodinâmica do reconhecimento no trabalho de informática de terceirizados e concursados de uma instituição pública

Descreve a organização do trabalho dos terceirizados e concursados e compara as contradições entre o prescrito e o real. Analisa as vivências de prazer e sofrimento e descreve a dinâmica do reconhecimento dessas duas categorias.

Clima organizacional dos servidores efetivos da informática da Câmara Legislativa do Distrito Federal

Apresenta pesquisa sobre o clima organizacional na Coordenadoria de Modernização e Informática da Câmara Legislativa do Distrito Federal. Devido às profundas mudanças estruturais e de processos ocorridas neste setor, tornou-se muito importante avaliar as percepções dos servidores que lá trabalham a respeito dos fatores organizacionais postos. Inicialmente foi feito levantamento a respeito das teorias motivacionais e dos métodos para a realização de pesquisa de clima organizacional. Com base nos resultados da pesquisa aplicada, fez-se análise estatística, envolvendo técnicas específicas para alcançar o esclarecimento das questões de pesquisa.

Proposta de projeto de implementação de gerenciamento de serviços de TI baseado em ITIL V3, utilizando a abordagem ITIL Lite, para o Centro de Informática da Câmara dos Deputados

Com a retirada da ITIL V2 anunciada recentemente pela OGC, organizações do mundo todo que dependem dos serviços de TI começam a pensar em, pelo menos, dar início à implementação de gerenciamento de serviços de TI baseada em ITIL na sua versão 3. A partir de desdobramentos deste cenário mundial, o presente trabalho teve como objetivo apresentar uma proposta de plano de projeto para o Centro de Informática da Câmara dos Deputados do Brasil, identificando atividades baseadas na abordagem oficial ITIL Lite, que possibilita a implantação de um subconjunto de componentes ITIL V3 de acordo com a atual situação da organização, deixando o caminho aberto para uma eventual total implementação dos processos e funções.

O perfil dos gerentes de projetos do Centro de Informática da Câmara dos Deputados baseado nas competências de conhecimento, desempenho e pessoais do Framework de Desenvolvimento de Competências do Gerente de Projeto

Habilidades interpessoais é uma das especializações necessárias ao gerenciamento de projetos. O planejamento estratégico da Câmara dos Deputados e o do Centro de Informática apontam a tendência para a gestão, tais como gestão de projetos, de processos, de pessoas, por exemplo. Assim como cada projeto é único, cada pessoa é única, com talentos, mas também com necessidade de desenvolvimento de algumas competências e habilidades e mudança de atitudes. Este trabalho visa a identificar o perfil dos gerentes de projetos do Centro de Informática da Câmara dos Deputados baseado nas competências de conhecimento, desempenho e pessoais do Framework de Desenvolvimento de Competências do Gerente de Projeto.