Segmentation of spoken words into syllables by English-speaking children as compared to adults

Given the importance of syllables in the development of reading, spelling, and phonological awareness, information is needed about how children syllabify spoken words. To what extent is syllabification affected by knowledge of spelling, to what extent by phonology, and which phonological factors are influential? In Experiment 1, six- and seven-year-old children did not show effects of spelling on oral syllabification, performing similarly on words such as habit and rabbit. Spelling influenced the syllabification of older children and adults, with the results suggesting that knowledge of spelling must be well entrenched before it begins to affect oral syllabification. Experiment 2 revealed influences of phonological factors on syllabification that were similar across age groups. Young children, like older children and adults, showed differences between words with short and long vowels (e.g., lemon vs. demon) and words with sonorant and obstruent intervocalic consonants (e.g., melon vs. wagon). (C) 2002 Elsevier Science (USA). All rights reserved.

Perceptions of kanji learning strategies: Do they differ among Chinese character and alphabetic background learners

This study investigates three important issues in kanji learning strategies; namely, strategy use, effectiveness of strategy and orthographic background. A questionnaire on kanji learning strategy use and perceived effectiveness was administered to 116 beginner level, undergraduate students of Japanese from alphabetic and character backgrounds in Australia. Both descriptive and statistical analyses of the questionnaire responses revealed that the strategies used most often are the most helpful. Repeated writing was reported as the most used strategy type although alphabetic background learners reported using repeated writing strategies significantly more often than character background learners. The importance of strategy training and explicit instruction of fundamental differences between character and alphabetic background learners of Japanese is discussed in relation to teaching strategies. [Author abstract]

Self-optimization module for scheduling using case-based reasoning

Metaheuristics performance is highly dependent of the respective parameters which need to be tuned. Parameter tuning may allow a larger flexibility and robustness but requires a careful initialization. The process of defining which parameters setting should be used is not obvious. The values for parameters depend mainly on the problem, the instance to be solved, the search time available to spend in solving the problem, and the required quality of solution. This paper presents a learning module proposal for an autonomous parameterization of Metaheuristics, integrated on a Multi-Agent System for the resolution of Dynamic Scheduling problems. The proposed learning module is inspired on Autonomic Computing Self-Optimization concept, defining that systems must continuously and proactively improve their performance. For the learning implementation it is used Case-based Reasoning, which uses previous similar data to solve new cases. In the use of Case-based Reasoning it is assumed that similar cases have similar solutions. After a literature review on topics used, both AutoDynAgents system and Self-Optimization module are described. Finally, a computational study is presented where the proposed module is evaluated, obtained results are compared with previous ones, some conclusions are reached, and some future work is referred. It is expected that this proposal can be a great contribution for the self-parameterization of Metaheuristics and for the resolution of scheduling problems on dynamic environments.

Case-based reasoning for meta-heuristics self-parameterization in a multi-agent scheduling system

A novel agent-based approach to Meta-Heuristics self-configuration is proposed in this work. Meta-heuristics are examples of algorithms where parameters need to be set up as efficient as possible in order to unsure its performance. This paper presents a learning module for self-parameterization of Meta-heuristics (MHs) in a Multi-Agent System (MAS) for resolution of scheduling problems. The learning is based on Case-based Reasoning (CBR) and two different integration approaches are proposed. A computational study is made for comparing the two CBR integration perspectives. In the end, some conclusions are reached and future work outlined.

Self-optimizing through CBR learning

In this paper, we foresee the use of Multi-Agent Systems for supporting dynamic and distributed scheduling in Manufacturing Systems. We also envisage the use of Autonomic properties in order to reduce the complexity of managing systems and human interference. By combining Multi-Agent Systems, Autonomic Computing, and Nature Inspired Techniques we propose an approach for the resolution of dynamic scheduling problem, with Case-based Reasoning Learning capabilities. The objective is to permit a system to be able to automatically adopt/select a Meta-heuristic and respective parameterization considering scheduling characteristics. From the comparison of the obtained results with previous results, we conclude about the benefits of its use.

Literacia familiar: contributos para a promoção e desenvolvimento de boas práticas literácitas em contexto socio económico desfavorecido

Dissertação apresentada à Escola Superior de Educação de Lisboa para a obtenção de grau de Mestre em Didática da Língua Portuguesa no 1.º e 2.º Ciclos do Ensino Básico

Digital storytelling: an integrated approach to language for the 21st century student

Societal changes have, throughout history, pushed the long-established boundaries of education across all grade levels. Technology and media merge with education in a continuous complex social process with human consequences and effects. We, teachers, can aspire to understand and interpret this volatile context that is being redesigned at the same time society itself is being reshaped as a result of the technological evolution. The language- learning classroom is not impenetrable to these transformations. Rather, it can perhaps be seen as a playground where teachers and students gather to combine the past and the present in an integrated approach. We draw on the results from a previous study and argue that Digital Storytelling as a Process is capable of aggregating and fostering positive student development in general, as well as enhancing interpersonal relationships and self-knowledge while improving digital literacy. Additionally, we establish a link between the four basic language-learning skills and the Digital Storytelling process and demonstrate how these converge into what can be labeled as an integrated language learning approach.

A dimensão intercultural do inglês como língua estrangeira em contexto de formação profissional - estudo de caso

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ensino do Inglês

Aprendizagem baseada na resolução de problemas: uma experiência pedagógica com alunos de um Curso de Especialização Tecnológica

Relatório de estágio de mestrado em Ensino de Informática

L' Ensenyament per tasques: programació d'una assignatura de traducció de l'alemany a l'espanyol

In this work we present a proposal for a course in translation from German into Spanish following the task based approach as known in second language acquisition. The aim is to improve the translation competence of translation students. We depart from the hypothesis that some students select inapropiate translation strategies when faced with certain translation problems leading them to translation errors. In order to avoid these translation errors originated by wrong application of such strategies we propose a didactic method which helps to prevent them by a) raising awareness of the different subcompetences required while translating, b) improving the ability to identify translation problems and relate them to the different subcompetences and c) enhancing the use of the most adequate strategy according to the characteristics of each problem. With regard to translation and how translation competence is acquired our work follows the communicative approach to translation theory as defended among others by Hatim & Mason (1990), Lörscher (1992) and Kiraly (1995), where translation is seen as a communicative activity which can be analized from a psycholinguistic perspective. In this sense we give operative definitions for what we understand by “translation problem”, “translation strategy”, “translation error”, “translation competence” and “translation”. Our approach to didactics adapts recent developments in Second Language Teaching within the communicative paradigm as is the task based approach by Nunan (1989) acquisition to translation. Fitting the recquirements of this pedagogic approach we present a planning for a translation course which is compatible with present translation studies.

A Framework for Analyzing Language and Welfare

The paper proposes a general model that will encompass trade and social benefits of a common language, a preference for a variety of languages, the fundamental role of translators, an emotional attachment to maternal language, and the threat that globalization poses to the vast majority of languages. With respect to people’s emotional attachment, the model considers minorities to suffer losses from the subordinate status of their language. In addition, the model treats the threat to minority language as coming from the failure of the parents in the minority to transmit their maternal language (durably) to their children. Some familiar results occur. In particular, we encounter the usual social inefficiencies of decentralized solutions to language learning when the sole benefits of the learning are communicative benefits (though translation intervenes). However, these social inefficiencies assume a totally different air when the con-sumer gains of variety are brought in. One fundamental aim of the paper is to bring together contributions to the economics of language from labor economics, network externalities and international trade that are typically treated separately.

A Framework for Analyzing Language and Welfare

The paper proposes a general model that will encompass trade and social benefits of a common language, a preference for a variety of languages, the fundamental role of translators, an emo-tional attachment to maternal language, and the threat that globalization poses to the vast ma-jority of languages. With respect to people’s emotional attachment, the model considers minor-ities to suffer losses from the subordinate status of their language. In addition, the model treats the threat to minority language as coming from the failure of the parents in the minority to transmit their maternal language (durably) to their children. Some familiar results occur. In particular, we encounter the usual social inefficiencies of decentralized solutions to language learning when the sole benefits of the learning are communicative benefits (though translation intervenes). However, these social inefficiencies assume a totally different air when the con-sumer gains of variety are brought in. One fundamental aim of the paper is to bring together contributions to the economics of language from labor economics, network externalities and international trade that are typically treated separately.

L'enseignement et l'apprentissage de la conjugaison en FLE : comment réduire les difficultés engendrées par l'orthographe ?

French verb morphology has always been a major challenge for learners as well as teachers of French as a foreign language. Learning difficulties arise not only from the inherent complexity of the conjugation system itself, but mostly from the traditional description found in specialized books, grammars, etc. French spelling alone tends to complexify the actual oral verb morphology by more than 60%, thus hindering efficient learning. Following Dubois (1967), Csécsy (1968), Pouradier Duteil (1997), etc., I suggest an alternative approach, exclusively based on phonetic transcription, and starting with plural forms instead of singular ones (Mayer 1969). For more than 500 verbs of the 2nd and 3rd groups, this strategy allows learners to first memorize the present tense plural form e.g. /illiz/ (ils lisent, "they read") and take the stem's final consonant away to get the singular /illi/ (il lit, "he reads").

L'ensenyament de la llengua als immigrants : les aules d'acollida

Les preguntes de recerca que es podran respondre a partir de la realització del treball es basen en les següents: Com funcionen les aules d'acollida o el TAE a l'escola estudiada pels alumnes immigrants de secundària? Quines diferències hi ha depenent de si el centre és públic o concertat? Afecta el nombre d'immigrants de l'escola en l'estratègia seguida per a la integració d'aquests alumnes? Afecta el país de procedència a la integració dels immigrants en l?escola (llengua i cultura incloses)? Quins recursos pedagògics s'utilitzen? Com evoluciona l'aprenentatge de la llengua en aquests alumnes? Quines estratègies d'integració s'apliquen des dels centres escolars? Com s'han solucionat els reptes plantejats en cursos anteriors? què esperen aquests alumnes i les seves famílies de l?escola? Es poden millorar aquestes estratègies d'aprenentatge i acollida de l'alumne?

Mapping of Environmental Data Using Kernel-Based Methods

Recently, kernel-based Machine Learning methods have gained great popularity in many data analysis and data mining fields: pattern recognition, biocomputing, speech and vision, engineering, remote sensing etc. The paper describes the use of kernel methods to approach the processing of large datasets from environmental monitoring networks. Several typical problems of the environmental sciences and their solutions provided by kernel-based methods are considered: classification of categorical data (soil type classification), mapping of environmental and pollution continuous information (pollution of soil by radionuclides), mapping with auxiliary information (climatic data from Aral Sea region). The promising developments, such as automatic emergency hot spot detection and monitoring network optimization are discussed as well.