Dialogue Systems for Language Learning

En este artículo se presenta el caso de Milao, un entorno virtual que ofrece a los estudiantes de idiomas extranjeros la oportunidad de desarrollar y mejorar sus habilidades comunicativas dialogando en escenarios de conversación predefinidos que simulan la interacción con un nativo. Esta tecnología propone una solución a uno de los mayores retos en el aprendizaje de lenguas extranjeras: la falta de oportunidades para poner en práctica la gramática y el vocabulario recién adquiridos. Combinando la investigación sobre la lingüística y el aprendizaje de lenguas con los avances tecnológicos en el campo del Procesamiento del Lenguaje Natural (NPL), particularmente sobre sistemas de diálogo, hemos creado oportunidades en la demanda de los estudiantes a conversar en la lengua que tratan de aprender.

La Evaluación en las enseñanzas procedimentales. El cuaderno como herramienta de evaluación continua en las enseñanzas de dibujo

El dibujo como actividad procedimental implica realizar una serie de acciones consecutivas que requieren condiciones más exigentes para su aprendizaje, tanto en cantidad de práctica como en su organización. La evaluación del aprendizaje de procedimientos tiene carácter continuado, procesual, contextual y estratégico, favoreciendo la autorregulación del alumno en su proceso de aprendizaje gracias a la ayuda que el profesorado le presta. La evaluación de un proceso que se adquiere en el tiempo conlleva a plantear el cuaderno como elemento de control de dicho proceso que ayuda en la evaluación continua del mismo

Métodos de reconocimiento del subsuelo

The aim of this workshop is to present the main methods of subsoil studies (namely mechanical and geophysical methods) to the Earth Sciences professorate. These methods frequently involve the use of specific material. The different methods are usually taught in the classroom where there is no real contact between the students and the equipment. Several activities, all of them taking place in surrounding areas of the university campus of Girona, will provide the assistants to the workshop with the opportunity of making measurements with different equipment. These activities will be made in the field so as to contribute to the resolution of a problem which will have been previously proposed. The problems presented are situations, most of them real, when subsoil investigation techniques are usually used. These cases have been employed as teaching-learning strategies with university and second grade students in the area of Girona. Finally, some examples of exercises involving the treatment of data obtained through subsoil investigation techniques are also presented to complement the workshop

Collaborative eLearning Assistant Network: caring agents are conscious agents

Would a research assistant - who can search for ideas related to those you are working on, network with others (but only share the things you have chosen to share), doesn’t need coffee and who might even, one day, appear to be conscious - help you get your work done? Would it help your students learn? There is a body of work showing that digital learning assistants can be a benefit to learners. It has been suggested that adaptive, caring, agents are more beneficial. Would a conscious agent be more caring, more adaptive, and better able to deal with changes in its learning partner’s life? Allow the system to try to dynamically model the user, so that it can make predictions about what is needed next, and how effective a particular intervention will be. Now, given that the system is essentially doing the same things as the user, why don’t we design the system so that it can try to model itself in the same way? This should mimic a primitive self-awareness. People develop their personalities, their identities, through interacting with others. It takes years for a human to develop a full sense of self. Nobody should expect a prototypical conscious computer system to be able to develop any faster than that. How can we provide a computer system with enough social contact to enable it to learn about itself and others? We can make it part of a network. Not just chatting with other computers about computer ‘stuff’, but involved in real human activity. Exposed to ‘raw meaning’ – the developing folksonomies coming out of the learning activities of humans, whether they are traditional students or lifelong learners (a term which should encompass everyone). Humans have complex psyches, comprised of multiple strands of identity which reflect as different roles in the communities of which they are part – so why not design our system the same way? With multiple internal modes of operation, each capable of being reflected onto the outside world in the form of roles – as a mentor, a research assistant, maybe even as a friend. But in order to be able to work with a human for long enough to be able to have a chance of developing the sort of rich behaviours we associate with people, the system needs to be able to function in a practical and helpful role. Unfortunately, it is unlikely to get a free ride from many people (other than its developer!) – so it needs to be able to perform a useful role, and do so securely, respecting the privacy of its partner. Can we create a system which learns to be more human whilst helping people learn?

Assessing reading at Key Stage 2: SATs as measures of children's inferential abilities

This article describes two studies. The first study was designed to investigate the ways in which the statutory assessments of reading for 11-year-old children in England assess inferential abilities. The second study was designed to investigate the levels of performance achieved in these tests in 2001 and 2002 by 11-year-old children attending state-funded local authority schools in one London borough. In the first study, content and questions used in the reading papers for the Standard Assessment Tasks (SATs) in the years 2001 and 2002 were analysed to see what types of inference were being assessed. This analysis suggested that the complexity involved in inference making and the variety of inference types that are made during the reading process are not adequately sampled in the SATs. Similar inadequacies are evident in the ways in which the programmes of study for literacy recommended by central government deal with inference. In the second study, scripts of completed SATs reading papers for 2001 and 2002 were analysed to investigate the levels of inferential ability evident in scripts of children achieving different SATs levels. The analysis in this article suggests that children who only just achieve the 'target' Level 4 do so with minimal use of inference skills. They are particularly weak in making inferences that require the application of background knowledge. Thus, many children who achieve the reading level (Level 4) expected of 11-year-olds are entering secondary education with insecure inference-making skills that have not been recognised.

Semantic organization to enhance active learning based on distributed multimedia educational resources

In order to organize distributed educational resources efficiently, to provide active learners an integrated, extendible and cohesive interface to share the dynamically growing multimedia learning materials on the Internet, this paper proposes a generic resource organization model with semantic structures to improve expressiveness, scalability and cohesiveness. We developed an active learning system with semantic support for learners to access and navigate through efficient and flexible manner. We learning resources in an efficient and flexible manner. We provide facilities for instructors to manipulate the structured educational resources via a convenient visual interface. We also developed a resource discovering and gathering engine based on complex semantic associations for several specific topics.

Simulated annealing technique for fast learning of SOM networks

The Self-Organizing Map (SOM) is a popular unsupervised neural network able to provide effective clustering and data visualization for multidimensional input datasets. In this paper, we present an application of the simulated annealing procedure to the SOM learning algorithm with the aim to obtain a fast learning and better performances in terms of quantization error. The proposed learning algorithm is called Fast Learning Self-Organized Map, and it does not affect the easiness of the basic learning algorithm of the standard SOM. The proposed learning algorithm also improves the quality of resulting maps by providing better clustering quality and topology preservation of input multi-dimensional data. Several experiments are used to compare the proposed approach with the original algorithm and some of its modification and speed-up techniques.

Knowledge-based clinical pathway for medical quality improvement

Clinical pathways have been adopted for various diseases in clinical departments for quality improvement as a result of standardization of medical activities in treatment process. Using knowledge-based decision support on the basis of clinical pathways is a promising strategy to improve medical quality effectively. However, the clinical pathway knowledge has not been fully integrated into treatment process and thus cannot provide comprehensive support to the actual work practice. Therefore this paper proposes a knowledgebased clinical pathway management method which contributes to make use of clinical knowledge to support and optimize medical practice. We have developed a knowledgebased clinical pathway management system to demonstrate how the clinical pathway knowledge comprehensively supports the treatment process. The experiences from the use of this system show that the treatment quality can be effectively improved by the extracted and classified clinical pathway knowledge, seamless integration of patient-specific clinical pathway recommendations with medical tasks and the evaluating pathway deviations for optimization.

Problem-based learning approaches in meteorology

Problem-Based Learning, despite recent controversies about its effectiveness, is used extensively as a teaching method throughout higher education. In meteorology, there has been little attempt to incorporate Problem-Based Learning techniques into the curriculum. Motivated by a desire to enhance the reflective engagement of students within a current field course module, this project describes the implementation of two test Problem-Based Learning activities and testing and improvement using several different and complementary means of evaluation. By the end of a 2-year program of design, implementation, testing, and reflection and re-evaluation, two robust, engaging activities have been developed that provide an enhanced and diverse learning environment in the field course. The results suggest that Problem-Based Learning techniques would be a useful addition to the meteorology curriculum and suggestions for courses and activities that may benefit from this approach are included in the conclusions.

Reflections on designing a Biology/Humanities interdisciplinary module

This paper uses the reflections of a recent workshop on biology and the humanities subject areas to consider the potential for designing a first year interdisciplinary module that brings together teachers and learners in the Biosciences with their counterparts in English and History. It considers three building blocks of module design: aims and objectives; teaching and learning strategies; and assessment; and provides a commentary on the discussion of interdisciplinarity in the broader literature. The authors argue that interdisciplinary teaching and learning must be transformative, but not in the way many previous advocates of interdisciplinarity have assumed. Rather than transcending disciplines, the authors contend that the aim should be to enhance disciplinary understanding. Learners should emerge from the interdisciplinary module not having lost their identity as biologists, but having enhanced it. They should have become ‘better’ biologists in the sense of having developed a broader, critical understanding of the precepts of their discipline, as a first step to an understanding of biology inflected with a literary and historical awareness.

Students’ Role in Distance Learning

1. IntroductionMuch of the support that students have in a traditional classroom is absent in a distance learning course. In the traditional classroom, the learner is together with his or her classmates and the teacher; learning is socially embedded. Students can talk to each other and may learn from each other as they go through the learning process together. They also witness the teacher’s expression of the knowledge firsthand. The class participants communicate to each other not only through their words, but also through their gestures, facial expressions and tone of voice, and the teacher can observe the students’ progress and provide guidance and feedback in an as-needed basis. Further, through the habit of meeting in a regular place at a regular time, the participants reinforce their own and each other’s commitment to the course. A distance course must somehow provide learners other kinds of supports so that the distance learner also has a sense of connection with a learning community; can benefit from interaction with peers who are going through a similar learning process; receives feedback that allows him or her to know how he or she is progressing; and is guided enough so that he or she continues to progress towards the learning objectives. This cannot be accomplished if the distance course does not simultaneously promote student autonomy, for the distance course format requires students to take greater responsibility for their own learning. This chapter presents one distance learning course that was able to address all of these goals. The English Department at Högskolan Dalarna, Sweden, participates in a distance learning program with Vietnam National University. Students enrolled in this program study half-time for two years to complete a Master’s degree in English Linguistics. The distance courses in this program all contain two types of regular class meetings: one type is student-only seminars conducted through text chat, during which students discuss and complete assignments that prepare them for the other type of class meeting, also conducted through text chat, where the teacher is present and is the one to lead the discussion of seminar issues and assignments. The inclusion of student-only seminars in the course design allows for student independence while at the same time it encourages co-operation and solidarity. The teacher-led seminars offer the advantages of a class led by an expert.In this chapter, we present chatlog data from Vietnamese students in one distance course in English linguistics, comparing the role of the student in both student-only and teacher-led seminars. We discuss how students navigate their participation roles, through computer-mediated communication (CMC), according to seminar type, and we consider the emerging role of the autonomous student in the foreign-language medium, distance learning environment. We close by considering aspects of effective design of distance learning courses from the perspective of a foreign language (FL) environment.

Machine Learning Algorithms in Heavy Process Manufacturing

In a global economy, manufacturers mainly compete with cost efficiency of production, as the price of raw materials are similar worldwide. Heavy industry has two big issues to deal with. On the one hand there is lots of data which needs to be analyzed in an effective manner, and on the other hand making big improvements via investments in cooperate structure or new machinery is neither economically nor physically viable. Machine learning offers a promising way for manufacturers to address both these problems as they are in an excellent position to employ learning techniques with their massive resource of historical production data. However, choosing modelling a strategy in this setting is far from trivial and this is the objective of this article. The article investigates characteristics of the most popular classifiers used in industry today. Support Vector Machines, Multilayer Perceptron, Decision Trees, Random Forests, and the meta-algorithms Bagging and Boosting are mainly investigated in this work. Lessons from real-world implementations of these learners are also provided together with future directions when different learners are expected to perform well. The importance of feature selection and relevant selection methods in an industrial setting are further investigated. Performance metrics have also been discussed for the sake of completion.

A relação entre produtividade do trabalho e capacitação: um estudo de caso nas organizações militares do sistema de telemática do Exército Brasileiro

Este trabalho apresenta relações entre a produtividade do trabalho e as capacitações que ocorreram nas Organizações Militares (OM) de telemática do Exército Brasileiro (EB), que representam o Sistema de Telemática do Exército (SisTEx). O período do estudo se dá entre janeiro de 2010 e julho de 2011. O SisTEx é melhor caracterizado pelo Centro Integrado de Telemática do Exército (CITEx), pelos Centros de Telemática de Área (CTA) e pelos Centros de Telemática (CT), subordinados ao Departamento de Ciência e Tecnologia (DCT) e dispostos ao longo de todo o território nacional. O estudo trata do conceito de produtividade do trabalho e do processo de capacitação no SisTEx. Fala sobre as áreas do conhecimento de interesse sistêmico e das áreas estratégicas que devem ser atendidas com capacitações, mostrando os resultados que surgiram em função das capacitações realizadas. Propõe sugestões para alinhar as necessidades de capacitação com as áreas estratégicas, destacando a importância das capacitações no planejamento estratégico, passando pelos interesses individuais. Relaciona estratégias que representam um diferencial competitivo na agregação de valor aos usuários. Traz comentários sobre a utilização do ensino a distância(EAD) e presencial para realização das capacitações. Trata da interferência das capacitações na produtividade e na percepção sobre o retorno do investimento (ROI). Relaciona, ainda, as capacidades do SisTEx com os estudos de inovação tecnológica no setor de serviços. Destaca as capacitações realizadas na áreas da segurança da informação e defesa cibernética. Considera que é possível melhorar a produtividade do trabalho em função das capacitações que ocorrem no SisTEx, que contribuem como um vetor de modernidade e transformação que agem diretamente no processo produtivo, proporcionando assim uma aceleração no desenvolvimento da qualidade dos serviços de TI prestados. Traz recomendações de estudos futuros para verificar a velocidade de acumulação das capacidades tecnológicas, o uso do EAD para capacitações de maior complexidade técnica e a criação de métricas para cálculo efetivo do ROI. Para tal, foi feito um estudo bibliográfico sobre a produtividade do trabalho e o processo de capacitação do SisTEx. O método adotado foi o do estudo de caso. Foram feitos questionamentos (survey) e enquetes/votações (poll) que foram aplicados nos chefes, exchefes de CTA/CT e nos discentes do SisTEx, militares que realizaram capacitações no período considerado.

Contribuições da metodologia service-learning para o ensino de responsabilidade social em cursos de graduação em administração

A temática da Responsabilidade Social está em grande discussão na atualidade, fazendo a sociedade repensar o papel das empresas e exigindo delas mais responsabilidade e envolvimento com o seu desenvolvimento. No Brasil, a discussão de questões relativas à Responsabilidade Social ganhou espaço apenas mais recentemente, em seguida ao processo de industrialização e vinda de grandes empresas para o país. Dessa forma, vem à tona uma discussão sobre o preparo dos profissionais de Administração brasileiros para trabalhar a Responsabilidade Social nas empresas e sobre a inclusão desta temática nos cursos de graduação em Administração. O desafio dessas instituições é abordar a Responsabilidade Social e a ética dentro de seus currículos, conjugando a formação acadêmica, técnica e ética dos alunos. As metodologias de ensino tradicionais levam a um esclarecimento teórico sobre o tema, no entanto não preparam os alunos para lidar com as questões de responsabilidade social na prática. Este estudo propôs o service-learning como uma metodologia de abordagem prática para o ensino de Responsabilidade Social, permitindo a aproximação entre instituições de ensino superior e comunidades, em uma experiência de aprendizado e ganho para ambas. Foram analisados neste estudo dois casos de instituições de ensino brasileiras que desenvolvem programas junto a comunidades, com o objetivo de conhecer suas práticas e estudar as possíveis contribuições que o uso da metodologia service-learning poderia trazer ao contexto educacional brasileiro, em busca da formação de profissionais mais sensibilizados às questões sociais.

Dynamics of micro-entrepeneurial activities

This paper generates and organizes stylized facts related to the dynamics of selfemployment activities in Brazil. The final purpose is to help the design of policies to assist micro-entrepreneurial units. The 'first part of the paper uses as a main tool of analysis transitional data constructed from household surveys. The longitudinal information used covers three transition horizons: 1-month, 12-month and 5-year periods. Quantitative flows analysis assesses the main origins, destinies and various types of risks assumed by microentrepreneurial activities. Complementarily, logistic regressions provides evidence on the main characteristics and resources of micro-entrepreneurial units. In particular, we use the movements from self-employment to employer activities as measures of entrepreneurial success. We also use these transitions as measures of employment creation intensity within the self-employed segment.The second part of the paper explores various data sources. First, we attempt to analyze the life-cycle trajectories and determinants of self-employment. We use cohort data constructed from PME and qualitative data on financial and work history factors related to the opening of small bussiness from the informal firms survey implemented during 1994. Second, we apply a standart Mincerian wage equation approach to self-employment profits. This exerci se attempts to capture the correlation patterns between micro-entrepreneurial performance and a variety of firms leveI variables present in the 1994 Informal Survey. Finally, we use a a survey on the poor enterpreneurs of Rocinha favela as a laboratory to study poor entrepreneurs resources and behavior.In sum, the main questions pursued in the paper are: i) who are the Brazilian selfemployed?; ii) in particular: what is relative importance among the self-employed of subsistence activities versus those activities with growth and capital accumulation potential?; iii) what are the main static and dynamic determinants ofmicro-entrepreneurial success?; iv) what is the degree ofrisk associated with micro-entrepreneurial activities in Brazil?; v) What is the life-cycle profile of self-employment?; vi) what are the main constraints on poor entrepreneurs activities?.