O impacto das tarefas de aprendizagem mediadas pela lousa digital interativa na motivação situacional de aprendizes de inglês

Some authors have suggested that learning tasks conducted in L2 classes can motivate learners in different ways. Similarly, Interactive Whiteboards (IWB) have already been linked as drivers to engagement and enthusiasm in L2 classes, which may cause some impact on affective variables that influence learning (e.g. motivation). This crosssectional mixed-methods study aims to understand how situational motivation caused by learning tasks mediated by the IWB impact participants. We seek to answer the following research questions: (1) How does motivation as a personality trait of the learner relate to his/her additional language learning performance?, (2) How does the type of learning task mediated by the IWB impact the learner s motivation?, (3) How does motivation vary along the learning task mediated by the IWB? and (4) What is the relation between the learning task motivation and the learners perception about the task mediated by the IWB? Data collection lasted four months with 29 learners from a private language school. The instruments used were the following: (a) an initial questionnaire (adapted from the Attitudes/Motivation Test Battery by GARDNER, 2004), (b) situation-specific on-line scales to assess learners motivation in three moments: before, during and after the task, and analyze how motivation varies along the task; (c) class observations and field notes resulting from these observations, (d) participants end-of-course grades to understand the connection between academic success and their motivational profiles and (e) a final questionnaire with the qualitative purpose to know learners perceptions about the tasks mediated by the IWB. Our theoretical framework is based on Task-Based Learning and cognitive aspects present in tasks (WILLIS, 1996; SKEHAN, 1996), theories on motivation and second language learning (GARDNER, 2001; DÖRNYEI e OTTÓ, 1998; DÖRNYEI, 2000; 2002) and conceptions about L2 learning mediated by technology (GIBSON, 2001; OLIVEIRA, 2001; MILLER et al, 2005). Our results do not point out to a significative correlation between learners end-of-course grades and their motivational profiles. However, they indicate that there is some variability in situational motivation along the tasks, even among learning tasks from the same type. Furthermore, they show that learners report different perceptions for each learning task and that the impact of the IWB on participants did not have a large proportion

Teaching as a fractal: from experience to model

The aim of this work is to improve students’ learning by designing a teaching model that seeks to increase student motivation to acquire new knowledge. To design the model, the methodology is based on the study of the students’ opinion on several aspects we think importantly affect the quality of teaching (such as the overcrowded classrooms, time intended for the subject or type of classroom where classes are taught), and on our experience when performing several experimental activities in the classroom (for instance, peer reviews and oral presentations). Besides the feedback from the students, it is essential to rely on the experience and reflections of lecturers who have been teaching the subject several years. This way we could detect several key aspects that, in our opinion, must be considered when designing a teaching proposal: motivation, assessment, progressiveness and autonomy. As a result we have obtained a teaching model based on instructional design as well as on the principles of fractal geometry, in the sense that different levels of abstraction for the various training activities are presented and the activities are self-similar, that is, they are decomposed again and again. At each level, an activity decomposes into a lower level tasks and their corresponding evaluation. With this model the immediate feedback and the student motivation are encouraged. We are convinced that a greater motivation will suppose an increase in the student’s working time and in their performance. Although the study has been done on a subject, the results are fully generalizable to other subjects.

A produção oral de inglês como LE em uma escola pública de Natal: uma experiência com a abordagem baseada em tarefas

The aim of this action research of mixed-methods was investigating the role of the tasks proposed by the Task-Based Learning, TBL (WILLIS, 1996) in the process of development of speech production in English as a foreign language (EFL) at the public school. Twenty-three students from a grade of secondary school from a state school in Rio Grande do Norte were exposed systematically to the implementation of the learning tasks focused in the speech production in EFL during two months. The instruments used at the data collection – pre and post-questionnaire; field notes; focal group; and pre and post-tests - generated two kinds of data: a) qualitative (the perception of the students about their speech production and the teaching of this ability at the public school; and, the usage of strategies of communication for these learners facing TBL); and, b) quantitative (the development of pronunciation; of accuracy in the proficiency tests (test KET – Cambridge, adapted); and, of Global Oral Proficiency (POG) of these learners after the accomplishment of the learning tasks). The quantitative results of the study indicate that there was a statistically significant development of pronunciation and accuracy at the proficiency tests, after the tasks experience. The qualitative findings, in turn, represented by the learners‟ reports and from the research teacher, show that there has been greater focus on the use of communicative strategies during the learners‟ oral production throughout the intervention with the tasks.

Taller de Escritura Creativa para el desarrollo de la Competencia Literaria en Brasil

Este artículo describe una propuesta de innovación docente basada en la corriente educativa de la Educación para el Desarrollo, así como la mejora de Competencia Comunicativa en L2 y de las Competencias Literarias e Interculturales por medio de un taller diseñado para tal fin. El propósito de este artículo es doble: por un lado mostrar las posibilidades que ofrece el Taller de Escritura e Ilustración Creativa para el desarrollo de las Competencias Literaria, Intercultural y Comunicativa en L2. Se muestra cómo el taller cumple con las directrices marcadas por la Educación para el Desarrollo que se describe en el marco teórico. El segundo objetivo es narrar cómo se han organizado, coordinado e implementado el Taller de Escritura e Ilustración Creativa en la Universidade Federal do Amazonas en Manaos (Brasil), basándose en la metodología del aprendizaje basado en tareas, y cómo se ha conseguido (i) promover la creación de puentes para la consolidación de las relaciones bilaterales entre universidades; (ii) motivar la colaboración científica con los centros brasileños que cuentan con un departamento de español, y (iii) emplear y crear herramientas que permitan incluir la Educación para el Desarrollo.

A proposal to teach english to eighth graders in a public school in Cali through curriculum contents [recurso electr?nico]

This monography seeks the improvement of the teaching of English in an eighth grade from a public school in Santiago de Cali, INEM Jorge Isaac, through the implementation of a proposal based on the integration of this language with some disciplinary fields that are part of the curriculum; and to design, plan, prepare and evaluate a unit of teaching founded on Content-Based Instruction (CBI), through the Communicative Approach, some Task Based Learning procedures, Project Work, and Cooperative Work.

A critical approach to reading comprehension in english: teaching intervention with group of teenagers at a non-formal education institution [recurso electr?nico]

The following paper is an action research made with a group of 6 teenagers aged 11-13 from the city of Cali. The project was carried out at a non-formal education institution and basically describes the process of a teaching intervention in which the concepts of Critical Pedagogy and Task-Based Learning were the protagonists. The results show first, that students really need to feel motivated in order to accept a critical approach; second, that the role of the teacher in the achievement of the objectives is extremely relevant; it is necessary for them to have a critical perspective before working on this field besides the constant seeking of information in order to innovate in their classes; third, that the TBL (Task Based Learning) and the critical pedagogy are processes that need some time in order to bear fruits; and fourth, that a needs analysis is essential for the quality of the intervention.

Evaluaci?n y mejoramiento del Syllabus de ingl?s del grado primero de primaria de un colegio monoling?e privado de Cali [recurso electr?nico]

Esta investigaci?n consiste en la evaluaci?n del programa de ingl?s del grado primero de primaria del colegio Mixto San Vicente de la Ciudad de Cali y su redise?o con base en los principios del enfoque de aprendizaje a trav?s de tareas (Task-Based Learning). El desarrollo de este estudio se inscribe bajo los principios metodol?gicos de la investigaci?n cualitativa en educaci?n, en tanto que busc? optimizar la calidad de un plan de estudios. En este sentido, su realizaci?n implic? el uso de diferentes t?cnicas etnogr?ficas de recolecci?n de datos, tales como: entrevistas, charlas, an?lisis de documentos, observaciones de pr?cticas de ense?anza y pruebas piloto, para llegar a la propuesta de un plan de estudios mejorado y la construcci?n de algunas conclusiones y sugerencias para provecho de la instituci?n. Se trat? de un trabajo de pedagog?a aplicada, ya que se cont? con la presencia de los investigadores en el campo.

Dise?o, implementaci?n y evaluaci?n de una secuencia did?ctica para el mejoramiento de la comprensi?n de lectura en estudiantes de medicina y cirug?a de la Universidad del Valle [recurso electr?nico]

Esta investigaci?n-acci?n se enmarca dentro del ?rea de ESP (English for Specific Purposes). La investigaci?n se realiz? en un curso de Textos Acad?micos I para estudiantes del programa del programa de Medicina y Cirug?a de la Universidad del Valle. El objetivo principal de la investigaci?n es dise?ar una secuencia did?ctica siguiendo la metodolog?a Task-Based Learning con el prop?sito de mejorar la compresi?n de lectura de textos especializados en los estudiantes del programa de medicina y cirug?a. La investigaci?n retoma varios aspectos importantes dentro del aula de clase como la metodolog?a de ense?anza, la motivaci?n por parte de los estudiantes y los procesos de compresi?n de lectura. Durante el proceso de investigaci?n y el dise?o de la secuencia did?ctica se identificaron diferentes aspectos que favorecen y desfavorecen la relaci?n ense?anza-aprendizaje en un curso de ESP. En el dise?o de la secuencia did?ctica se tuvo en cuenta el aprendizaje basado en tareas, los contenidos del curso de Lectura de Textos Acad?micos en ingl?s I y el ?rea espec?fica de conocimientos de los estudiantes. Despu?s de analizar los resultados de las cuatro actividades aplicadas se evidenci? una mejor?a notable en la comprensi?n de lectura de diferentes textos especializados, en relaci?n a la exploraci?n inicial realizada a trav?s del test diagn?stico.

Analysis of english teachers' perceptions related to strategies studied in a in-service course in Cuenca

El presente estudio describe las percepciones de los profesores fiscales de inglés en relación a las estrategias aprendidas durante una capacitación realizada en el año 2012 por un grupo de investigadores de la Facultad de Filosofía de la Universidad de Cuenca. En el año 2014, este grupo de investigadores inició un proyecto para analizar el impacto de dicha capacitación. Este es el marco contextual en el cual se desarrolla el análisis de la percepción docente. La propuesta está basada en el método exploratorio. El instrumento de investigación fue la entrevista personal a diez profesores que participaron de la capacitación en el año 2012. Los resultados fueron analizados con la ayuda del Software Atlas ti. Se identificaron catorce códigos diferentes que fueron agrupados en cuatro grupos de familias: estrategias comunicativas, aprendizaje significativo, percepciones de las necesidades e inconsistencias. Todas estas familias de códigos convergieron alrededor del Aprendizaje Basado en Tareas (ABT), el cual permitía generar un outcome, cuyo significado específico es la generación de un producto a partir del uso del idioma inglés por parte de los estudiantes. Un hallazgo importante fue que casi todos los profesores recordaron varias estrategias aprendidas en la capacitación, mismas que sumaron un total de nueve, además la mitad de docentes estaba usando el outcome en sus clases, ello da cuenta de la percepción positiva que tienen los docentes sobre el curso, a pesar de haber transcurrido dos años de su clausura.

Off-line simulation inspires insight: a neurodynamics approach to efficient robot task learning

There is currently an increasing demand for robots able to acquire the sequential organization of tasks from social learning interactions with ordinary people. Interactive learning-by-demonstration and communication is a promising research topic in current robotics research. However, the efficient acquisition of generalized task representations that allow the robot to adapt to different users and contexts is a major challenge. In this paper, we present a dynamic neural field (DNF) model that is inspired by the hypothesis that the nervous system uses the off-line re-activation of initial memory traces to incrementally incorporate new information into structured knowledge. To achieve this, the model combines fast activation-based learning to robustly represent sequential information from single task demonstrations with slower, weight-based learning during internal simulations to establish longer-term associations between neural populations representing individual subtasks. The efficiency of the learning process is tested in an assembly paradigm in which the humanoid robot ARoS learns to construct a toy vehicle from its parts. User demonstrations with different serial orders together with the correction of initial prediction errors allow the robot to acquire generalized task knowledge about possible serial orders and the longer term dependencies between subgoals in very few social learning interactions. This success is shown in a joint action scenario in which ARoS uses the newly acquired assembly plan to construct the toy together with a human partner.

Policy gradient based Reinforcement Learning for real autonomous underwater cable tracking

This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized by using a direct policy search method for learning the internal state/action mapping. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU AUV

Learning Preferences with Kernel-Based Methods

Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.

Policy gradient based Reinforcement Learning for real autonomous underwater cable tracking

This paper proposes a field application of a high-level reinforcement learning (RL) control system for solving the action selection problem of an autonomous robot in cable tracking task. The learning system is characterized by using a direct policy search method for learning the internal state/action mapping. Policy only algorithms may suffer from long convergence times when dealing with real robotics. In order to speed up the process, the learning phase has been carried out in a simulated environment and, in a second step, the policy has been transferred and tested successfully on a real robot. Future steps plan to continue the learning process on-line while on the real robot while performing the mentioned task. We demonstrate its feasibility with real experiments on the underwater robot ICTINEU AUV

Use of web-based formative assessment to support student learning in metabolism/nutrition unit

In 2002, an integrated basic science course was introduced into the Bachelor of Dental Sciences programme at the University of Queensland, Australia. Learning activities for the Metabolism and Nutrition unit within this integrated course included lectures, problem-based learning tutorials, computer-based self-directed learning exercises and practicals. To support student learning and assist students to develop the skills necessary to become lifelong learners, an extensive bank of formative assessment questions was set up using the commercially available package, WebCT®. Questions included short-answer, multiple-choice and extended matching questions. As significant staff time was involved in setting up the question database, the extent to which students used the formative assessment and their perceptions of its usefulness to their learning were evaluated to determine whether formative assessment should be extended to other units within the course. More than 90% of the class completed formative assessment tasks associated with learning activities scheduled in the first two weeks of the block, but this declined to less than 50% by the fourth and final week of the block. Patterns of usage of the formative assessment were also compared in students who scored in the top 10% for all assessment for the semester with those who scored in the lowest 10%. High-performing students accessed the Web-based formative assessment about twice as often as those who scored in the lowest band. However, marks for the formative assessment tests did not differ significantly between the two groups. In a questionnaire that was administered at the completion of the block, students rated the formative assessment highly, with 80% regarding it as being helpful for their learning. In conclusion, although substantial staff time was required to set up the question database, this appeared to be justified by the positive responses of the students.

A mobile robot platform for open learning based on serious games and remote laboratories

Within the pedagogical community, Serious Games have arisen as a viable alternative to traditional course-based learning materials. Until now, they have been based strictly on software solutions. Meanwhile, research into Remote Laboratories has shown that they are a viable, low-cost solution for experimentation in an engineering context, providing uninterrupted access, low-maintenance requirements, and a heightened sense of reality when compared to simulations. This paper will propose a solution where both approaches are combined to deliver a Remote Laboratory-based Serious Game for use in engineering and school education. The platform for this system is the WebLab-Deusto Framework, already well-tested within the remote laboratory context, and based on open standards. The laboratory allows users to control a mobile robot in a labyrinth environment and take part in an interactive game where they must locate and correctly answer several questions, the subject of which can be adapted to educators' needs. It also integrates the Google Blockly graphical programming language, allowing students to learn basic programming and logic principles without needing to understand complex syntax.