15 resultados para Piirainen-Marsh, Arja: Face in second language interaction
em Universidad de Alicante
Resumo:
Although frequently discarded and despised in the 20th century, translation now seems to find wider acceptance within the Second Language Teaching (SLT) field. However, it still has a long way to go before recovering its due place in the L2 classroom. The aim of this paper is to suggest a number of translation (and interpreting)-based activities covering the different competence levels, thus showing that communicative content and translation can perfectly go hand in hand so that old, unjustified prejudices can be superseded once and for all.
Resumo:
Cooperative learning has been successfully implemented in the last 60 years for teaching at different educational levels including the Higher Studies due to its solid theoretical foundation, the principles it proposes and its practical applications. The purpose of this article is to offer a proposal for some cooperative activities that allow students to work in small groups in a language subject in order to learn not only contents but also putting into practice what they learn, i.e., they learn by being active. This article discusses how the said activities make it possible for students to work with the main principles of cooperative learning, i.e.: positive interdependence, face-to-face interaction, individual and group accountability, interpersonal and small-group skills and group processing. Moreover, this research will also point out that the proposed activities allow students to acquire some of the social competences required in the labour market such as leadership, conflict solving and cooperation.
Resumo:
In recent years, several explanatory models have been developed which attempt to analyse the predictive worth of various factors in relation to academic achievement, as well as the direct and indirect effects that they produce. The aim of this study was to examine a structural model incorporating various cognitive and motivational variables which influence student achievement in the two basic core skills in the Spanish curriculum: Spanish Language and Mathematics. These variables included differential aptitudes, specific self-concept, goal orientations, effort and learning strategies. The sample comprised 341 Spanish students in their first year of Compulsory Secondary Education. Various tests and questionnaires were used to assess each student, and Structural Equation Modelling (SEM) was employed to study the relationships in the initial model. The proposed model obtained a satisfactory fit for the two subjects studied, and all the relationships hypothesised were significant. The variable with the most explanatory power regarding academic achievement was mathematical and verbal aptitude. Also notable was the direct influence of specific self-concept on achievement, goal-orientation and effort, as was the mediatory effect that effort and learning strategies had between academic goals and final achievement.
Resumo:
A combined chemometrics-metabolomics approach [excitation–emission matrix (EEM) fluorescence spectroscopy, nuclear magnetic resonance (NMR) and high performance liquid chromatography–mass spectrometry (HPLC–MS)] was used to analyse the rhizodeposition of the tritrophic system: tomato, the plant-parasitic nematode Meloidogyne javanica and the nematode-egg parasitic fungus Pochonia chlamydosporia. Exudates from M. javanica roots were sampled at root penetration (early) and gall development (late). EMM indicated that late root exudates from M. javanica treatments contained more aromatic amino acid compounds than the rest (control, P. chlamydosporia or P. chlamydosporia and M. javanica). 1H NMR showed that organic acids (acetate, lactate, malate, succinate and formic acid) and one unassigned aromatic compound (peak no. 22) were the most relevant metabolites in root exudates. Robust principal component analysis (PCA) grouped early exudates for nematode (PC1) or fungus presence (PC3). PCA found (PC1, 73.31 %) increased acetate and reduced lactate and an unassigned peak no. 22 characteristic of M. javanica root exudates resulting from nematode invasion and feeding. An increase of peak no. 22 (PC3, 4.82 %) characteristic of P. chlamydosporia exudates could be a plant “primer” defence. In late ones in PC3 (8.73 %) the presence of the nematode grouped the samples. HPLC–MS determined rhizosphere fingerprints of 16 (early) and 25 (late exudates) m/z signals, respectively. Late signals were exclusive from M. javanica exudates confirming EEM and 1H NMR results. A 235 m/z signal reduced in M. javanica root exudates (early and late) could be a repressed plant defense. This metabolomic approach and other rhizosphere -omics studies could help to improve plant growth and reduce nematode damage sustainably.
Resumo:
GlnK proteins belong to the PII superfamily of signal transduction proteins and are involved in the regulation of nitrogen metabolism. These proteins are normally encoded in an operon together with the structural gene for the ammonium transporter AmtB. Haloferax mediterranei possesses two genes encoding for GlnK, specifically, glnK1 and glnK2. The present study marks the first investigation of PII proteins in haloarchaea, and provides evidence for the direct interaction between glutamine synthetase and both GlnK1 and GlnK2. Complex formation between glutamine synthetase and the two GlnK proteins is demonstrated with pure recombinant protein samples using in vitro activity assays, gel filtration chromatography and western blotting. This protein–protein interaction increases glutamine synthetase activity in the presence of 2-oxoglutarate. Separate experiments that were carried out with GlnK1 and GlnK2 produced equivalent results.
Resumo:
This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages.
Resumo:
The University of the 21st century has to establish links with society and prepare students for the demands of the working world. Therefore, this article is a contribution to the integral preparation of university students by proposing the use of authentic texts with social content in English lessons so that students acquire emotional and social competencies while still learning content. This article will explain how the choice of texts on global issues such as racism and gender helps students to develop skills such as social awareness and critical thinking to deepen their understanding of discrimination, injustice or gender differences in both oral and written activities. A proposal will be presented which involves using the inauguration speech from Mandela's presidency and texts with photographs of women so that students analyse them whilst utilising linguistic tools that allow them to explore a text's social dimension.
Resumo:
Les investigacions recents sobre la transferència i l'adquisició d’una L3 han indagat sobre les interferències lingüístiques quan hi ha més d'una font de transferència. Els participants en aquest estudi de cas van ser parlants d’espanyol i d’anglès, que apreninen una tercera llengua, el català, tipològicament més pròxima a l’espanyol. Aquest estudi va investigar la producció dels bilingües del català fosc /ɫ/, un segment que no és present en espanyol ja que tots els laterals es produeixen com una clara /l/, i que, tanmateix, es realitza en anglès en posició final després de vocal. Contràriament al model que planteja la proximitat d'idiomes prèviament adquirids com un dels factors determinants per a la transferència de competències, l’estudi va mostrar que la proximitat tipològica a un dels L1 no és determinista per a la transferència en el nivell fonològic en l’aprenentatge d’una L3, ja que els participants produeixen laterals catalanes similars a /ɫ/. En aquest estudi de cas es constata, d’acord amb el Model de Millora Acumulativa, com es transfereix aquest segment fonològic des de l’anglés al català.
Resumo:
El proceso de unificación europea ha facilitado la aparición de nuevos flujos migratorios entre los distintos Estados. Uno muy significativo lo forman los noreuropeos (británicos y alemanes, principalmente) que se trasladan a los países mediterráneos. En este artículo se analizan los problemas que enfrentan los inmigrantes residenciales noreuropeos en el sur de España a la hora de establecer vínculos con la sociedad española. Con este fin, se lleva a cabo un estudio en el municipio de San Miguel de Salinas, ubicado en el sudeste del país. La perspectiva metodológica articula la investigación cuantitativa con la cualitativa. Los hallazgos obtenidos muestran cómo la barrera idiomática esconde en realidad un entramado de relaciones entre aspectos socioespaciales, políticos y económicos. Se configura así un sistema que dificulta el establecimiento de interacciones entre los residentes españoles y los noreuropeos, generando además procesos de fragmentación social.
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If one has a distribution of words (SLUNs or CLUNS) in a text written in language L(MT), and is adjusted one of the mathematical expressions of distribution that exists in the mathematical literature, some parameter of the elected expression it can be considered as a measure of the diversity. But because the adjustment is not always perfect as usual measure; it is preferable to select an index that doesn't postulate a regularity of distribution expressible for a simple formula. The problem can be approachable statistically, without having special interest for the organization of the text. It can serve as index any monotonous function that has a minimum value when all their elements belong to the same class, that is to say, all the individuals belong to oneself symbol, and a maximum value when each element belongs to a different class, that is to say, each individual is of a different symbol. It should also gather certain conditions like they are: to be not very sensitive to the extension of the text and being invariant to certain number of operations of selection in the text. These operations can be theoretically random. The expressions that offer more advantages are those coming from the theory of the information of Shannon-Weaver. Based on them, the authors develop a theoretical study for indexes of diversity to be applied in texts built in modeling language L(MT), although anything impedes that they can be applied to texts written in natural languages.
Resumo:
In the past years, an important volume of research in Natural Language Processing has concentrated on the development of automatic systems to deal with affect in text. The different approaches considered dealt mostly with explicit expressions of emotion, at word level. Nevertheless, expressions of emotion are often implicit, inferrable from situations that have an affective meaning. Dealing with this phenomenon requires automatic systems to have “knowledge” on the situation, and the concepts it describes and their interaction, to be able to “judge” it, in the same manner as a person would. This necessity motivated us to develop the EmotiNet knowledge base — a resource for the detection of emotion from text based on commonsense knowledge on concepts, their interaction and their affective consequence. In this article, we briefly present the process undergone to build EmotiNet and subsequently propose methods to extend the knowledge it contains. We further on analyse the performance of implicit affect detection using this resource. We compare the results obtained with EmotiNet to the use of alternative methods for affect detection. Following the evaluations, we conclude that the structure and content of EmotiNet are appropriate to address the automatic treatment of implicitly expressed affect, that the knowledge it contains can be easily extended and that overall, methods employing EmotiNet obtain better results than traditional emotion detection approaches.
Resumo:
Decision support systems (DSS) support business or organizational decision-making activities, which require the access to information that is internally stored in databases or data warehouses, and externally in the Web accessed by Information Retrieval (IR) or Question Answering (QA) systems. Graphical interfaces to query these sources of information ease to constrain dynamically query formulation based on user selections, but they present a lack of flexibility in query formulation, since the expressivity power is reduced to the user interface design. Natural language interfaces (NLI) are expected as the optimal solution. However, especially for non-expert users, a real natural communication is the most difficult to realize effectively. In this paper, we propose an NLI that improves the interaction between the user and the DSS by means of referencing previous questions or their answers (i.e. anaphora such as the pronoun reference in “What traits are affected by them?”), or by eliding parts of the question (i.e. ellipsis such as “And to glume colour?” after the question “Tell me the QTLs related to awn colour in wheat”). Moreover, in order to overcome one of the main problems of NLIs about the difficulty to adapt an NLI to a new domain, our proposal is based on ontologies that are obtained semi-automatically from a framework that allows the integration of internal and external, structured and unstructured information. Therefore, our proposal can interface with databases, data warehouses, QA and IR systems. Because of the high NL ambiguity of the resolution process, our proposal is presented as an authoring tool that helps the user to query efficiently in natural language. Finally, our proposal is tested on a DSS case scenario about Biotechnology and Agriculture, whose knowledge base is the CEREALAB database as internal structured data, and the Web (e.g. PubMed) as external unstructured information.
Resumo:
This article analyses the way in which the subject English Language V of the degree English Studies (English Language and Literature) combines the development of the five skills (listening, speaking, reading, writing and interacting) with the use of multimodal activities and resources in the teaching-learning process so that students increase their motivation and acquire different social competences that will be useful for the labour market such as communication, cooperation, leadership or conflict management. This study highlights the use of multimodal materials (texts, videos, etc.) on social topics to introduce cultural aspects in a language subject and to deepen into the different social competences university students can acquire when they work with them. The study was guided by the following research questions: how can multimodal texts and resources contribute to the development of the five skills in a foreign language classroom? What are the main social competences that students acquire when the teaching-learning process is multimodal? The results of a survey prepared at the end of the academic year 2015-2016 point out the main competences that university students develop thanks to multimodal teaching. For its framework of analysis, the study draws on the main principles of visual grammar (Kress & van Leeuwen, 2006) where students learn how to analyse the main aspects in multimodal texts. The analysis of the different multimodal activities described in the article and the survey reveal that multimodality is useful for developing critical thinking, for bringing cultural aspects into the classroom and for working on social competences. This article will explain the successes and challenges of using multimodal texts with social content so that students can acquire social competences while learning content. Moreover, the implications of using multimodal resources in a language classroom to develop multiliteracies will be observed.
Resumo:
Este estudio presenta los resultados sobre la relación que existe entre las autoatribuciones académicas en lenguaje y matemáticas en una muestra de 2.022 estudiantes de Educación Secundaria de 12 a 16 años. Los adolescentes fueron seleccionados aleatoriamente de 20 escuelas urbanas y rurales en las provincias de Alicante y Murcia, España. La conducta prosocial fue codificada con el Teenage Inventory of Social Skills y las autoatribuciones académicas fueron medidas mediante la Escala de Atribución Causal de Sydney (Sydney Attribution Scale, SAS; Marsh, 1984). El 17.35% de estudiantes de ESO fueron identificados como prosociales. Los chicos de 2º de ESO y las chicas de 4º de ESO presentaron la menor y mayor prevalencia puntual de conducta prosocial, respectivamente. Respecto a la asignatura de lenguaje, los estudiantes prosociales atribuyen significativamente el éxito a la capacidad, el esfuerzo y, en menor medida, a causas externas. En cuanto a la asignatura de matemáticas, los estudiantes prosociales atribuyeron el éxito significativamente más al esfuerzo y significativamente menos a causas externas, mientras que atribuyeron el fracaso significativamente más a la falta de esfuerzo. Además, los datos han permitido crear un modelo de regresión logística que permite hacer estimaciones correctas respecto a la probabilidad de éxito académico en matemáticas, en lenguaje y en todas las asignaturas aprobadas en estudiantes prosociales de E.S.O. a partir de las puntuaciones en atribuciones académicas.