899 resultados para Computer aided language learning
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Ensino Programado, Máquinas de Ensinar e o Sistema Personalizado de Instrução (PSI - Personalized System of Instruction) são abordagens comportamentais para o ensino que orientaram a criação de um software instrucional (SII) para o ensino de conceitos de esquemas de reforçamento baseado em tarefas de escolha, com o qual se avaliou duas condições: escolhas entre definições e entre exemplos, com estudantes experientes e ingênuos. A estruturação das tarefas considerou os desempenhos como treino de intraverbais representativos de conceitos. Não ocorreram diferenças marcantes no desempenho entre as condições; estudantes ingênuos e não ingênuos se beneficiaram igualmente nas duas condições (conceitos e exemplos). Ocorreram indícios de transferência de aprendizagem entre a tarefa de escolha e uma tarefa classificatória complementar. A comparabilidade entre as condições complexas usadas, questões de múltipla escolha entre exemplos ou definições de conceitos deve ser abordada cautelosamente. Os erros concentrados no primeiro bloco de questões de cada conceito indicou que as relações modelo-comparação se transferiam para as questões apresentadas nos blocos seguintes. Variações paramétricas em estudos futuros, entretanto, poderão gerar mais evidências de variáveis favorecedoras da aprendizagem de conceitos em tarefas de escolha em computador.
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This paper aims at discussing the characteristics of computer mediated language within a foreign language teaching and learning environment enabled by the use of synchronic writing resources – chat. The present research is based on (i) theoretical principles about the use of technologies and the teaching-learning of foreign languages in the scope of the Teletandem Brazil Project: Foreign languages for all – Projeto Teletandem Brasil: línguas estrangeiras para todos (TELLES, 2005); (ii) studies on the characteristics of the language within chat interactions; (iii) different theoretical perspectives on the relationship between spoken and written language, emphasizing the constitutive heterogeneity of writing perspective (CORRÊA, 1997, 1998, 2001); and (iv) some relevant concepts related to Prosodic Phonology field (NESPOR; VOGEL, 1986). Is being taken as research data, the written production of a Brazilian student (finishing a Licentiate in Literature) interacting with an American student (in Religious Studies) through Windows Live Messenger. The data were collected during a five-month period, during which the participants interacted through chat, totalizing 12 interactions in English and in Portuguese. During the analysis, a particular attention was given to the messages’ fragmentation, the use (or not) of punctuation signs and abbreviations within the Brazilian participant’s production, in order to discuss the representations she built of her writing, her interlocutor, herself and on the teaching-learning process of a foreign language.
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We know that studies on reading and writing take place within the Linguistic for several decades and, with de computer, the language entered the network and this is opening a learning space for writing classes, no more reduced to a classroom but expanded to a universe that has no geographical boundaries, namely de Internet. Our research fits into this context and is part of the project The discourse on writing practices in contemporary Brazilian media: the art making, the pedagogical practice, and the production of meaning to develop discourse analysis on the practice of writing on sites dedicated to teaching and learning of this practice. The main objective of this research is to investigate the relationship between school attendance of redaction - made here as discourse gender, as you know Bakhtin - and the discourse of the sites that constitute our corpus. We set out the hypothesis that the sites are intended for the teaching/learning of writing seeking to create virtually teaching imaginarily conditions similar to those that exist in school attendance of the Portuguese language. We are interested in, therefore, observe, discursively, as the image is created of the interlocutors to which they are intended considering that the enunciators are not in front of those who occupy the place of real students, because they are virtual students. We, too, to know as the gender class manifested itself in those sites, as these sites dialogue with the face-to-face class in relation to ideology, the function of the teacher, the conception of language and writing. The constitution of the corpus was from search tools on the internet. The sites that we analyzed were: alunosonline.com.br, brasilescola.com.br, coladaweb.com.br, guiadoestudante.com.br, infoescola.com.br, mundoeducação.com.br, mundovestibular.com.br, português.com.br, professorjuscelino.com.br and redaçãodissertativa.com.br. The selection was qualitative, considering the...
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The use of technologies called computedassisted, such as CAD - (Computed Aided Design), CAM - (Computed Aided Manufacturing) and CNC - (Computed Numerical Control), increasingly demanded by the market, are needed in the teaching of subjects technical drawing and design courses for engineering and design. However its use findl barriers in the more conservative wing of the academy, who advocate the use of traditional drawing, for the settling of the concepts and the development of spatial reasoning. This study aimed to show the results obtained with the design and production of an apparatus for measuring a three-dimensional computer-aided milling machine, interaction, integration and consolidation of concepts, fully demonstrating that the learning of computer-assisted technology is possible, and its use is most appropriate, meaningful and productive, than the use of instruments in the classic design.
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This study aims to demonstrate the importance of computer-aided design and drafting (CADD) software for mechanical engineers. In addition, evaluate the software: Inventor 2015, Creo 3.0 and Solid Edge ST8, developed by consolidate companies in the market. In order to accomplish those goals, software application and its advantages will be demonstrated for the industry and for the academia. The evaluation process consists in modeling two mechanical assemblies, in order to compare functional aspects among the software. At the end, it is concluded that the learning of CADD software is of great importance also is the basis for using Computer-aided Engineering (CAE) and Computer-Aided Manufacturing (CAM) tools. Furthermore, it is suggested that Inventor and Solid Edge are more likely to be used in the academia
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In active learning, a machine learning algorithmis given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. The goal is then to judiciously choose which examples in U to have labeled in order to optimize some performance criterion, e.g. classification accuracy. We study how active learning affects AUC. We examine two existing algorithms from the literature and present our own active learning algorithms designed to maximize the AUC of the hypothesis. One of our algorithms was consistently the top performer, and Closest Sampling from the literature often came in second behind it. When good posterior probability estimates were available, our heuristics were by far the best.
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This study aims to demonstrate the importance of computer-aided design and drafting (CADD) software for mechanical engineers. In addition, evaluate the software: Inventor 2015, Creo 3.0 and Solid Edge ST8, developed by consolidate companies in the market. In order to accomplish those goals, software application and its advantages will be demonstrated for the industry and for the academia. The evaluation process consists in modeling two mechanical assemblies, in order to compare functional aspects among the software. At the end, it is concluded that the learning of CADD software is of great importance also is the basis for using Computer-aided Engineering (CAE) and Computer-Aided Manufacturing (CAM) tools. Furthermore, it is suggested that Inventor and Solid Edge are more likely to be used in the academia
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[EN]Applying a CLIL methodological approach marks a shift in emphasis from language learning based on linguistic form and grammatical progression to a more ‘language acquisition’ one which takes account language functions. In this article we will study the elements of the “language of instruction” of the area of Maths in Secondary Education, by focusing on the analysis of the communicative functions, and the lexical and the cultural items present in the textbook in use. Our aim is to present the CLIL teacher with the linguistic and didactic implications that he or she should take into consideration when implementing the bilingual syllabuses with their students. In order to do that, we will present our conclusions emphasizing the need for coordination in different content areas, linguistic and communicative contents, between the foreign language teacher and the CLIL subject one.
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Broad consensus has been reached within the Education and Cognitive Psychology research communities on the need to center the learning process on experimentation and concrete application of knowledge, rather than on a bare transfer of notions. Several advantages arise from this educational approach, ranging from the reinforce of students learning, to the increased opportunity for a student to gain greater insight into the studied topics, up to the possibility for learners to acquire practical skills and long-lasting proficiency. This is especially true in Engineering education, where integrating conceptual knowledge and practical skills assumes a strategic importance. In this scenario, learners are called to play a primary role. They are actively involved in the construction of their own knowledge, instead of passively receiving it. As a result, traditional, teacher-centered learning environments should be replaced by novel learner-centered solutions. Information and Communication Technologies enable the development of innovative solutions that provide suitable answers to the need for the availability of experimentation supports in educational context. Virtual Laboratories, Adaptive Web-Based Educational Systems and Computer-Supported Collaborative Learning environments can significantly foster different learner-centered instructional strategies, offering the opportunity to enhance personalization, individualization and cooperation. More specifically, they allow students to explore different kinds of materials, to access and compare several information sources, to face real or realistic problems and to work on authentic and multi-facet case studies. In addition, they encourage cooperation among peers and provide support through coached and scaffolded activities aimed at fostering reflection and meta-cognitive reasoning. This dissertation will guide readers within this research field, presenting both the theoretical and applicative results of a research aimed at designing an open, flexible, learner-centered virtual lab for supporting students in learning Information Security.
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Les recherches relatives à l'utilisation des TICE se concentrent fréquemment soit sur la dimension cognitive, sur la dimension linguistique ou sur la dimension culturelle. Le plus souvent, les recherches empiriques se proposent d'évaluer les effets directs des TICE sur les performances langagières des apprenants. En outre, les recherches, surtout en psychologie cognitive, sont le plus souvent effectuées en laboratoire. C'est pourquoi le travail présenté dans cette thèse se propose d'inscrire l'utilisation des TICE dans une perspective écologique, et de proposer une approche intégrée pour l'analyse des pratiques effectives aussi bien en didactique des langues qu'en didactique de la traduction. En ce qui concerne les aspects cognitifs, nous recourons à un concept apprécié des praticiens, celui de stratégies d'apprentissage. Les quatre premiers chapitres de la présente thèse sont consacrés à l'élaboration du cadre théorique dans lequel nous inscrivons notre recherche. Nous aborderons en premier lieu les aspects disciplinaires, et notamment l’interdisciplinarité de nos deux champs de référence. Ensuite nous traiterons les stratégies d'apprentissage et les stratégies de traduction. Dans un troisième mouvement, nous nous efforcerons de définir les deux compétences visées par notre recherche : la production écrite et la traduction. Dans un quatrième temps, nous nous intéresserons aux modifications introduites par les TICE dans les pratiques d'enseignement et d'apprentissage de ces deux compétences. Le cinquième chapitre a pour objet la présentation, l'analyse des données recueillies auprès de groupes d'enseignants et d'étudiants de la section de français de la SSLMIT. Il s’agira dans un premier temps, de présenter notre corpus. Ensuite nous procéderons à l’analyse des données. Enfin, nous présenterons, après une synthèse globale, des pistes didactiques et scientifiques à même de prolonger notre travail.
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Il tumore al seno si colloca al primo posto per livello di mortalità tra le patologie tumorali che colpiscono la popolazione femminile mondiale. Diversi studi clinici hanno dimostrato come la diagnosi da parte del radiologo possa essere aiutata e migliorata dai sistemi di Computer Aided Detection (CAD). A causa della grande variabilità di forma e dimensioni delle masse tumorali e della somiglianza di queste con i tessuti che le ospitano, la loro ricerca automatizzata è un problema estremamente complicato. Un sistema di CAD è generalmente composto da due livelli di classificazione: la detection, responsabile dell’individuazione delle regioni sospette presenti sul mammogramma (ROI) e quindi dell’eliminazione preventiva delle zone non a rischio; la classificazione vera e propria (classification) delle ROI in masse e tessuto sano. Lo scopo principale di questa tesi è lo studio di nuove metodologie di detection che possano migliorare le prestazioni ottenute con le tecniche tradizionali. Si considera la detection come un problema di apprendimento supervisionato e lo si affronta mediante le Convolutional Neural Networks (CNN), un algoritmo appartenente al deep learning, nuova branca del machine learning. Le CNN si ispirano alle scoperte di Hubel e Wiesel riguardanti due tipi base di cellule identificate nella corteccia visiva dei gatti: le cellule semplici (S), che rispondono a stimoli simili ai bordi, e le cellule complesse (C) che sono localmente invarianti all’esatta posizione dello stimolo. In analogia con la corteccia visiva, le CNN utilizzano un’architettura profonda caratterizzata da strati che eseguono sulle immagini, alternativamente, operazioni di convoluzione e subsampling. Le CNN, che hanno un input bidimensionale, vengono solitamente usate per problemi di classificazione e riconoscimento automatico di immagini quali oggetti, facce e loghi o per l’analisi di documenti.
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The aim of this dissertation is to show the power of contrastive analysis in successfully predicting the errors a language learner will make by means of a concrete case study. First, there is a description of what language transfer is and why it is important in the matter of second language acquisition. Second, a brief explanation of the history and development of contrastive analysis will be offered. Third, the focus of the thesis will move to an analysis of errors usually made by language learners. To conclude, the dissertation will focus on the concrete case study of a Russian learner of English: after an analysis of the errors the student is likely to make, a recorded conversation will be examined.
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Computer-assisted translation (or computer-aided translation or CAT) is a form of language translation in which a human translator uses computer software in order to facilitate the translation process. Machine translation (MT) is the automated process by which a computerized system produces a translated text or speech from one natural language to another. Both of them are leading and promising technologies in the translation industry; it therefore seems important that translation students and professional translators become familiar with this relatively new types of technology. Whether used together, not only might these two different types of systems reduce translation time, but also lead to a further improvement in the field of translation technologies. The dissertation consists of four chapters. The first one surveys the chronological development of MT and CAT tools, the emergence of pre-editing, post-editing and controlled language and the very last frontiers in this sector. The second one provide a general overview on the four main CAT tools that are used nowadays and tested hereto. The third chapter is dedicated to the experimentations that have been conducted in order to analyze and evaluate the performance of the four integrated systems that are the core subject of this dissertation. Finally, the fourth chapter deals with the issue of terminological equivalence in interlinguistic translation. The purpose of this dissertation is not to provide an objective and definitive solution to the complex issues that arise at any time in the field of translation technologies, this aim being well away from being achieved, but to supply information about the limits and potentiality that are typical of those instruments which are now essential to any professional translator.
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In den westlichen Industrieländern ist das Mammakarzinom der häufigste bösartige Tumor der Frau. Sein weltweiter Anteil an allen Krebserkrankungen der Frau beläuft sich auf etwa 21 %. Inzwischen ist jede neunte Frau bedroht, während ihres Lebens an Brustkrebs zu erkranken. Die alterstandardisierte Mortalitätrate liegt derzeit bei knapp 27 %.rnrnDas Mammakarzinom hat eine relative geringe Wachstumsrate. Die Existenz eines diagnostischen Verfahrens, mit dem alle Mammakarzinome unter 10 mm Durchmesser erkannt und entfernt werden, würden den Tod durch Brustkrebs praktisch beseitigen. Denn die 20-Jahres-Überlebungsrate bei Erkrankung durch initiale Karzinome der Größe 5 bis 10 mm liegt mit über 95 % sehr hoch.rnrnMit der Kontrastmittel gestützten Bildgebung durch die MRT steht eine relativ junge Untersuchungsmethode zur Verfügung, die sensitiv genug zur Erkennung von Karzinomen ab einer Größe von 3 mm Durchmesser ist. Die diagnostische Methodik ist jedoch komplex, fehleranfällig, erfordert eine lange Einarbeitungszeit und somit viel Erfahrung des Radiologen.rnrnEine Computer unterstützte Diagnosesoftware kann die Qualität einer solch komplexen Diagnose erhöhen oder zumindest den Prozess beschleunigen. Das Ziel dieser Arbeit ist die Entwicklung einer vollautomatischen Diagnose Software, die als Zweitmeinungssystem eingesetzt werden kann. Meines Wissens existiert eine solche komplette Software bis heute nicht.rnrnDie Software führt eine Kette von verschiedenen Bildverarbeitungsschritten aus, die dem Vorgehen des Radiologen nachgeahmt wurden. Als Ergebnis wird eine selbstständige Diagnose für jede gefundene Läsion erstellt: Zuerst eleminiert eine 3d Bildregistrierung Bewegungsartefakte als Vorverarbeitungsschritt, um die Bildqualität der nachfolgenden Verarbeitungsschritte zu verbessern. Jedes kontrastanreichernde Objekt wird durch eine regelbasierte Segmentierung mit adaptiven Schwellwerten detektiert. Durch die Berechnung kinetischer und morphologischer Merkmale werden die Eigenschaften der Kontrastmittelaufnahme, Form-, Rand- und Textureeigenschaften für jedes Objekt beschrieben. Abschließend werden basierend auf den erhobenen Featurevektor durch zwei trainierte neuronale Netze jedes Objekt in zusätzliche Funde oder in gut- oder bösartige Läsionen klassifiziert.rnrnDie Leistungsfähigkeit der Software wurde auf Bilddaten von 101 weiblichen Patientinnen getested, die 141 histologisch gesicherte Läsionen enthielten. Die Vorhersage der Gesundheit dieser Läsionen ergab eine Sensitivität von 88 % bei einer Spezifität von 72 %. Diese Werte sind den in der Literatur bekannten Vorhersagen von Expertenradiologen ähnlich. Die Vorhersagen enthielten durchschnittlich 2,5 zusätzliche bösartige Funde pro Patientin, die sich als falsch klassifizierte Artefakte herausstellten.rn