Sequência didática como instrumento para a aprendizagem significativa do efeito fotoelétrico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise de vizinhança: uma nova abordagem para avaliar a rede proposicional de mapas conceituais*

A análise detalhada de Mapas Conceituais (MCs) pode revelar informações latentes que não são percebidas a partir da mera leitura do seu conjunto de proposições. O presente trabalho tem como objetivo propor a Análise de Vizinhança (AViz) como uma forma inovadora de avaliar os MCs obtidos em sala de aula. A seleção de um Conceito Obrigatório (CO) permite ao professor verificar como os alunos o relacionam com outros conceitos, os quais são classificados como Conceitos Vizinhos (CVs). As proposições estabelecidas entre o CO e os CVs são suficientes para indicar o nível de compreensão do aluno sobre o tema mapeado. MCs (n = 69) sobre mudanças climáticas formam o primeiro conjunto de dados empíricos que ratifica o potencial da AViz. O CO selecionado foi dispersão, a fim de avaliar se os alunos conseguem relacionar esse fenômeno físico com o caráter global desse problema ambiental. Os padrães identificados a partir da AViz sugerem que, apesar de serem submetidos a uma mesma sequência didática, nem todos os alunos conseguiram utilizar o CO de forma adequada. Isso pode ser explicado a partir da Teoria da Aprendizagem Significativa de David Ausubel, que destaca o papel fundamental dos conhecimentos prévios no processo de assimilação de novas informações.

Statistical methods for biomedical signal analysis and processing

Statistical modelling and statistical learning theory are two powerful analytical frameworks for analyzing signals and developing efficient processing and classification algorithms. In this thesis, these frameworks are applied for modelling and processing biomedical signals in two different contexts: ultrasound medical imaging systems and primate neural activity analysis and modelling. In the context of ultrasound medical imaging, two main applications are explored: deconvolution of signals measured from a ultrasonic transducer and automatic image segmentation and classification of prostate ultrasound scans. In the former application a stochastic model of the radio frequency signal measured from a ultrasonic transducer is derived. This model is then employed for developing in a statistical framework a regularized deconvolution procedure, for enhancing signal resolution. In the latter application, different statistical models are used to characterize images of prostate tissues, extracting different features. These features are then uses to segment the images in region of interests by means of an automatic procedure based on a statistical model of the extracted features. Finally, machine learning techniques are used for automatic classification of the different region of interests. In the context of neural activity signals, an example of bio-inspired dynamical network was developed to help in studies of motor-related processes in the brain of primate monkeys. The presented model aims to mimic the abstract functionality of a cell population in 7a parietal region of primate monkeys, during the execution of learned behavioural tasks.

Writing center handbooks and travel guidebooks : redesigning instructional texts for multicultural, multilingual, and multinational contexts

In an increasingly interconnected world characterized by the accelerating interplay of cultural, linguistic, and national difference, the ability to negotiate that difference in an equitable and ethical manner is a crucial skill for both individuals and larger social groups. This dissertation, Writing Center Handbooks and Travel Guidebooks: Redesigning Instructional Texts for Multicultural, Multilingual, and Multinational Contexts, considers how instructional texts that ostensibly support the negotiation of difference (i.e., accepting and learning from difference) actually promote the management of difference (i.e., rejecting, assimilating, and erasing difference). As a corrective to this focus on managing difference, chapter two constructs a theoretical framework that facilitates the redesign of handbooks, guidebooks, and similar instructional texts. This framework centers on reflexive design practices and is informed by literacy theory (Gee; New London Group; Street), social learning theory (Wenger), globalization theory (Nederveen Pieterse), and composition theory (Canagarajah; Horner and Trimbur; Lu; Matsuda; Pratt). By implementing reflexive design practices in the redesign of instructional texts, this dissertation argues that instructional texts can promote the negotiation of difference and a multicultural/multilingual sensibility that accounts for twenty-first century linguistic and cultural realities. Informed by the theoretical framework of chapter two, chapters three and four conduct a rhetorical analysis of two forms of instructional text that are representative of the larger genre: writing center coach handbooks and travel guidebooks to Hong Kong. This rhetorical analysis reveals how both forms of text employ rhetorical strategies that uphold dominant monolingual and monocultural assumptions. Alternative rhetorical strategies are then proposed that can be used to redesign these two forms of instructional texts in a manner that aligns with multicultural and multilingual assumptions. These chapters draw on the work of scholars in Writing Center Studies (Boquet and Lerner; Carino; DiPardo; Grimm; North; Severino) and Technical Communication (Barton and Barton; Dilger; Johnson; Kimball; Slack), respectively. Chapter five explores how the redesign of coach handbooks and travel guidebooks proposed in this dissertation can be conceptualized as a political act. Ultimately, this dissertation argues that instructional texts are powerful heuristic tools that can enact social change if they are redesigned to foster the negotiation of difference and to promote multicultural/multilingual world views.

J-Quizmaker

Lehrvideos erfreuen sich dank aktueller Entwicklungen im Bereich der Online-Lehre (Videoplattformen, MOOCs) auf der einen Seite und einer riesigen Auswahl sowie einer einfachen Produktion und Distribution auf der anderen Seite großer Beliebtheit bei der Wissensvermittlung. Trotzdem bringen Videos einen entscheidenden Nachteil mit sich, welcher in der Natur des Datenformats liegt. So sind die Suche nach konkreten Sachverhalten in einem Video sowie die semantische Aufbereitung zur automatisierten Verknüpfung mit weiteren spezifischen Inhalten mit hohem Aufwand verbunden. Daher werden die lernerfolg-orientierte Selektion von Lehrsegmenten und ihr Arrangement zur auf Lernprozesse abgestimmten Steuerung gehemmt. Beim Betrachten des Videos werden unter Umständen bereits bekannte Sachverhalte wiederholt bzw. können nur durch aufwendiges manuelles Spulen übersprungen werden. Selbiges Problem besteht auch bei der gezielten Wiederholung von Videoabschnitten. Als Lösung dieses Problems wird eine Webapplikation vorgestellt, welche die semantische Aufbereitung von Videos hin zu adaptiven Lehrinhalten ermöglicht: mittels Integration von Selbsttestaufgaben mit definierten Folgeaktionen können auf Basis des aktuellen Nutzerwissens Videoabschnitte automatisiert übersprungen oder wiederholt und externe Inhalte verlinkt werden. Der präsentierte Ansatz basiert somit auf einer Erweiterung der behavioristischen Lerntheorie der Verzweigten Lehrprogramme nach Crowder, die auf den Lernverlauf angepasste Sequenzen von Lerneinheiten beinhaltet. Gleichzeitig werden mittels regelmäßig eingeschobener Selbsttestaufgaben Motivation sowie Aufmerksamkeit des Lernenden nach Regeln der Programmierten Unterweisung nach Skinner und Verstärkungstheorie gefördert. Durch explizite Auszeichnung zusammengehöriger Abschnitte in Videos können zusätzlich die enthaltenden Informationen maschinenlesbar gestaltet werden, sodass weitere Möglichkeiten zum Auffinden und Verknüpfen von Lerninhalten geschaffen werden.

Diffusion and implementation of a tobacco prevention program: A replication study

Tobacco use is a major health hazard, and the onset of tobacco use occurs almost entirely in the teenage years. For this reason, schools are an ideal site for tobacco prevention programs. Although studies have shown that effective school-based tobacco prevention programs exist, all too frequently these programs are not used. In order for effective programs to achieve their potential impact, strategies for speeding the diffusion of these programs to school districts and seeing that, once adopted, programs are implemented as they are intended, must be developed and tested.^ This study (SC2) set out to replicate the findings of an earlier quasi-experimental study (The Smart Choices Diffusion Study, or SC1) in which strategies based on diffusion theory and social learning theory were found to be effective in encouraging adoption and implementation of an effective tobacco prevention program in schools. To increase awareness and encourage adoption, intervention strategies in both studies utilized opinion leaders, messages highlighting positive aspects of the program, and modeling of benefits and effective use through videotape and newsletters. To encourage accurate implementation of the curriculum, teacher training for the two studies utilized videotaped modeling and practice of activities by teachers. SC2 subjects were 38 school districts that make up one of Texas' 20 education service regions. These districts had served as the comparison group in SC1, and findings for the SC1 comparison and intervention groups were utilized as historic controls.^ SC2 achieved a 76.3% adoption rate and found that an average of 84% of the curriculum was taught with an 82% fidelity to methods utilized by the curriculum. These rates and rates for implementation of dissemination strategies were equal to or greater than corresponding rates for SC1. The proportion of teachers implementing the curriculum in SC2 was found to be equal to SC1's video-trained districts but lower than the SC1 workshop-trained group.^ SC2's findings corroborate and support the findings from the earlier study, and increase our confidence in its findings. Taken together, the findings from SC2 and SC1 point to the effectiveness of their theory-based intervention strategies in encouraging adoption and accurate implementation of the tobacco prevention curriculum. ^

Cigarette smoking and Ecuadorian adolescents: A cross-sectional survey and policy review

This study investigates the relationship between cigarette smoking and adolescents in Ecuador, South America. Using the Social Learning Theory as a basis, the cross-sectional survey focuses attention on such social influences as the smoking habits of family members and peers as well as, the role of cigarette advertisements. Actual use prevalence, access to cigarettes and knowledge and attitudes about smoking are also obtained.^ The survey was conducted in both urban and rural areas, with 50 schools in 40 different communities participating. Two thousand four hundred and fifty-seven adolescents aged 9 to 15 years completed a self-administered questionnaire. This part of the study was conducted in collaboration with the international health organization Amigos de las Americas (AMIGOS). Staff assigned to the AMIGOS Ecuador projects worked with local health and education officials to implement the cross-sectional survey in the field.^ The key informant survey and subsequent policy review were designed to illuminate the social, cultural and institutional environment for anti-smoking activities and interventions in Ecuador. Key individuals involved with this issue on both national and local levels were interviewed. A review of past legislative efforts and present anti-smoking laws was also conducted.^ The current smoking prevalence among the study population was 8.6 percent. Findings from the cross-sectional survey revealed significant positive associations between the smoking habits of siblings and peers and the smoking behavior of the adolescents surveyed. Significant age and gender differences were also found in association with several different variables.^ The policy review found an unfavorable environment for anti-smoking efforts. Several factors contribute to this including, most importantly, lack of funding and lack of public support. The present anti-smoking law is often vague and lacks important provisions, such as a prohibition on selling tobacco products to minors.^ Together, the two surveys provide comprehensive information for the purpose of designing smoking prevention interventions. Using the results from the two surveys, recommendations for intervention are proposed. ^

Development and evaluation of a video-based modeling strategy for the dissemination phase of a school health tobacco -use prevention program

Even the best school health education programs will be unsuccessful if they are not disseminated effectively in a manner that encourages classroom adoption and implementation. This study involved two components: (1) the development of a videotape intervention to be used in the dissemination phase of a 4-year, NCI-funded diffusion study and (2) the evaluation of that videotape intervention strategy in comparison with a print (information transfer) strategy. Conceptualization has been guided by Social Learning Theory, Diffusion Theory, and communication theory. Additionally, the PRECEDE Framework has been used. Seventh and 8th grade classroom teachers from Spring Branch Independent School District in west Houston participated in the evaluation of the videotape and print interventions using a 57-item preadoption survey instrument developed by the UT Center for Health Promotion Research and Development. Two-way ANOVA was used to study individual score differences for five outcome variables: Total Scale Score (comprised of 57 predisposing, enabling, and reinforcing items), Adoption Characteristics Subscale, Attitude Toward Innovation Subscale, Receptivity Toward Innovation, and Reinforcement Subscale. The aim of the study is to compare the effect upon score differences of video and print interventions alone and in combination. Seventy-three 7th and 8th grade classroom teachers completed the study providing baseline and post-intervention measures on factors related to the adoption and implementation of tobacco-use prevention programs. Two-way ANOVA, in relation to the study questions, found significant scoring differences for those exposed to the videotape intervention alone for both the Attitude Toward Innovation Subscale and the Receptivity to Adopt Subscale. No significant results were found to suggest that print alone influences favorable scoring differences between baseline and post-intervention testing. One interaction effect was found suggesting video and print combined are more effective for influencing favorable scoring differences for the Reinforcement for the Adoption Subscale.^ This research is unique in that it represents a newly emerging field in health promotion communications research with implications for Social Learning Theory, Diffusion Theory, and communication science that are applicable to the development of improved school health interventions. ^

Planning and projects: three visionaires Friedmann, J., Trueba, I. and Ramos, A.

It is impossible to talk about planning as a scientific meta-discipline without mentioning one of the most influential worldwide figures in the second half of the twentieth century: John Friedmann. His contribution to the planning concept on his "Planning as Social Learning" theory is still very relevant. This paper shows the intellectual connection between Friedmann and Angel Ramos and Ignacio Trueba, two of the Spanish intellectual drivers in the engineering project knowledge area, who contributed to founding the Engineering Projects Spanish Association. The three of them share a broad vision of the project and abandon the "blue print" planning model. They also see the project as a transformational tool that requires a different planning style to the one which prevailed in the 70s - both in public and private domains. They were pioneers in structuring Knowledge / Action in a different way, both in academic institutions where disciples helped to bring about change- and with direct action via projects.

Sistemas de ayuda al diagnóstico y reconocimiento de microcalcificaciones en mamografía mediante descriptores de escala y redes jerárquicas

La presente Tesis investiga el campo del reconocimiento automático de imágenes mediante ordenador aplicado al análisis de imágenes médicas en mamografía digital. Hay un interés por desarrollar sistemas de aprendizaje que asistan a los radiólogos en el reconocimiento de las microcalcificaciones para apoyarles en los programas de cribado y prevención del cáncer de mama. Para ello el análisis de las microcalcificaciones se ha revelado como técnica clave de diagnóstico precoz, pero sin embargo el diseño de sistemas automáticos para reconocerlas es complejo por la variabilidad y condiciones de las imágenes mamográficas. En este trabajo se analizan los planteamientos teóricos de diseño de sistemas de reconocimiento de imágenes, con énfasis en los problemas específicos de detección y clasificación de microcalcificaciones. Se ha realizado un estudio que incluye desde las técnicas de operadores morfológicos, redes neuronales, máquinas de vectores soporte, hasta las más recientes de aprendizaje profundo mediante redes neuronales convolucionales, contemplando la importancia de los conceptos de escala y jerarquía a la hora del diseño y sus implicaciones en la búsqueda de la arquitectura de conexiones y capas de la red. Con estos fundamentos teóricos y elementos de diseño procedentes de otros trabajos en este área realizados por el autor, se implementan tres sistemas de reconocimiento de mamografías que reflejan una evolución tecnológica, culminando en un sistema basado en Redes Neuronales Convolucionales (CNN) cuya arquitectura se diseña gracias al análisis teórico anterior y a los resultados prácticos de análisis de escalas llevados a cabo en nuestra base de datos de imágenes. Los tres sistemas se entrenan y validan con la base de datos de mamografías DDSM, con un total de 100 muestras de entrenamiento y 100 de prueba escogidas para evitar sesgos y reflejar fielmente un programa de cribado. La validez de las CNN para el problema que nos ocupa queda demostrada y se propone un camino de investigación para el diseño de su arquitectura. ABSTRACT This Dissertation investigates the field of computer image recognition applied to medical imaging in mammography. There is an interest in developing learning systems to assist radiologists in recognition of microcalcifications to help them in screening programs for prevention of breast cancer. Analysis of microcalcifications has emerged as a key technique for early diagnosis of breast cancer, but the design of automatic systems to recognize them is complicated by the variability and conditions of mammographic images. In this Thesis the theoretical approaches to design image recognition systems are discussed, with emphasis on the specific problems of detection and classification of microcalcifications. Our study includes techniques ranging from morphological operators, neural networks and support vector machines, to the most recent deep convolutional neural networks. We deal with learning theory by analyzing the importance of the concepts of scale and hierarchy at the design stage and its implications in the search for the architecture of connections and network layers. With these theoretical facts and design elements coming from other works in this area done by the author, three mammogram recognition systems which reflect technological developments are implemented, culminating in a system based on Convolutional Neural Networks (CNN), whose architecture is designed thanks to the previously mentioned theoretical study and practical results of analysis conducted on scales in our image database. All three systems are trained and validated against the DDSM mammographic database, with a total of 100 training samples and 100 test samples chosen to avoid bias and stand for a real screening program. The validity of the CNN approach to the problem is demonstrated and a research way to help in designing the architecture of these networks is proposed.

DIVERGÊNCIAS E CONVERGÊNCIAS ENTRE A COMUNICAÇÃO PRIMÁRIA E A COMUNICAÇÃO SECUNDÁRIA NA DIVULGAÇÃO DO CÂNCER DE MAMA

Este estudo investiga as convergências e as divergências na comunicação primária e na comunicação secundária do câncer de mama. Nós usamos um esquema interpretativo fornecido pela Análise de Enquadramento, Agenda Setting, Teoria do Aprendizado Social, Difusão de Inovações, Semiótica e conceito de Novidade na Ciência e no Jornalismo, para argumentar que cientistas e jornalistas comunicam as novidades da Ciência de modos diversos. Também tivemos como uma proposta secundária traçar um panorama histórico da Comunicação da Saúde, e sua evolução, considerando que a Comunicação empreendeu um esforço para legitimar um espaço de encontro com a Saúde, afirmando uma área de aplicação de teorias, princípios e técnicas comunicacionais, com o objetivo preciso de difundir e compartilhar informação, conhecimentos e práticas que contribuam para melhorar os sistemas de saúde e o bem-estar das populações. Através da análise dos dados de periódicos científicos e jornalísticos que divulgam o câncer de mama, nós encontramos apoio significante para nossas predições. As implicações destas diferenças entre a comunicação primária (interpares) e a comunicação secundária (público leigo) para a comunicação da saúde são discutidas, às vezes apresentando-se como convergências, às vezes como divergências. Quando bem esclarecidas e compreendidas, fazem avançar a Comunicação da Saúde, obtendo resultados positivos no bem-estar das populações, considerando que a origem das doen ças está, fundamentalmente, onde se entrelaçam o biológico e o social.(AU)

DIVERGÊNCIAS E CONVERGÊNCIAS ENTRE A COMUNICAÇÃO PRIMÁRIA E A COMUNICAÇÃO SECUNDÁRIA NA DIVULGAÇÃO DO CÂNCER DE MAMA

Este estudo investiga as convergências e as divergências na comunicação primária e na comunicação secundária do câncer de mama. Nós usamos um esquema interpretativo fornecido pela Análise de Enquadramento, Agenda Setting, Teoria do Aprendizado Social, Difusão de Inovações, Semiótica e conceito de Novidade na Ciência e no Jornalismo, para argumentar que cientistas e jornalistas comunicam as novidades da Ciência de modos diversos. Também tivemos como uma proposta secundária traçar um panorama histórico da Comunicação da Saúde, e sua evolução, considerando que a Comunicação empreendeu um esforço para legitimar um espaço de encontro com a Saúde, afirmando uma área de aplicação de teorias, princípios e técnicas comunicacionais, com o objetivo preciso de difundir e compartilhar informação, conhecimentos e práticas que contribuam para melhorar os sistemas de saúde e o bem-estar das populações. Através da análise dos dados de periódicos científicos e jornalísticos que divulgam o câncer de mama, nós encontramos apoio significante para nossas predições. As implicações destas diferenças entre a comunicação primária (interpares) e a comunicação secundária (público leigo) para a comunicação da saúde são discutidas, às vezes apresentando-se como convergências, às vezes como divergências. Quando bem esclarecidas e compreendidas, fazem avançar a Comunicação da Saúde, obtendo resultados positivos no bem-estar das populações, considerando que a origem das doen ças está, fundamentalmente, onde se entrelaçam o biológico e o social.(AU)

An Interactive Model to Teach Motor Skills

There has been a tremendous increase in our knowledge of hum motor performance over the last few decades. Our theoretical understanding of how an individual learns to move is sophisticated and complex. It is difficult however to relate much of this information in practical terms to physical educators, coaches, and therapists concerned with the learning of motor skills (Shumway-Cook & Woolcott, 1995). Much of our knowledge stems from lab testing which often appears to bear little relation to real-life situations. This lack of ecological validity has slowed the flow of information from the theorists and researchers to the practitioners. This paper is concerned with taking some small aspects of motor learning theory, unifying them, and presenting them in a usable fashion. The intention is not to present a recipe for teaching motor skills, but to present a framework from which solutions can be found. If motor performance research has taught us anything, it is that every individual and situation presents unique challenges. By increasing our ability to conceptualize the learning situation we should be able to develop more flexible and adaptive responses to the challege of teaching motor skills. The model presented here allows a teacher, coach, or therapist to use readily available observations and known characteristics about a motor task and to conceptualize them in a manner which allows them to make appropriate teaching/learning decisions.

A model for the integration of legal research into Australian undergraduate law curricula

The marginalisation of the teaching and learning of legal research in the Australian law school curriculum is, in the author's experience, a condition common to many law schools. This is reflected in the reluctance of some law teachers to include legal research skills in the substantive law teaching schedule — often the result of unwillingness on the part of law school administrators to provide the resources necessary to ensure that such integration does not place a disproportionately heavy burden of assessment on those who are tempted. However, this may only be one of many reasons for the marginalisation of legal research in the law school experience. Rather than analyse the reasons for this marginalisation, this article deals with what needs to be done to rectify the situation, and to ensure that the teaching of legal research can be integrated into the law school curriculum in a meaningful way. This requires the use of teaching and learning theory which focuses on student-centred learning. This article outlines a model of legal research. It incorporates five transparent stages which are: analysis, contextualisation, bibliographic skills, interpretation and assessment and application.

CHAMADAS PROMOCIONAIS: INFORMAÇÃO E PERSUASÃO NOS INTERVALOS COMERCIAIS DA TV RECORD

As chamadas promocionais são consideradas como um comercial da emissora. Através delas, o conteúdo da programação é divulgado para persuadir o público a assistir os programas. Esta investigação identificou que o uso de apelos verbais e visuais, aproxima as chamadas da linguagem publicitária. No entanto, as semelhanças com a publicidade não se dão no momento da exibição das peças. Baseando-se no conceito de redundância proposto pela Teoria da Informação e na Teoria da Aprendizagem da Mensagem, de Carl Hovland, a pesquisa realizou um estudo de caso das duas primeiras temporadas de A FAZENDA, exibidas na Rede Record de Televisão. Pôde-se concluir que as chamadas do reality show não foram exibidas de acordo com os conceitos publicitários de GRP, cobertura e frequência, desperdiçando o espaço dos breaks e causando superexposição das mensagens autopromocionais.