718 resultados para Task-based learning
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There is an increasing trend by publishers to provide supplementary learning materials with text books in order to improve the learning experience and thus ultimately improve text book sales. This study will aim to establish the use of these materials and their relevance to students in terms of supporting student learning. The materials include multiple choice test banks, animated demonstrations, simulations, quizzes and electronic versions of the text. The study will focus on the extensive library of web-based learning materials available on the ‘WileyPlus’ web platform which accompanies the textbook ‘Operations Management’, 2nd edition authored by A. Greasley and published by John Wiley and Sons Ltd.
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This paper discusses the integration of quiz mechanism into digital game-based learning platform addressing environmental and social issues caused by population growth. 50 participants' learning outcomes were compared before and after the session. Semi-structured interview was used to gather participants' viewpoints regarding of issues presented in the game. Phenomenography was used as a methodology for data collection and analysis. Preliminary outcomes have shown that the current game implementation and quiz mechanism can be used to: (1) promote learning and awareness on environmental and social issues and (2) sustain players' attention and engagements.
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Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2016
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The emerging technologies have expanded a new dimension of self – ‘technoself’ driven by socio-technical innovations and taken an important step forward in pervasive learning. Technology Enhanced Learning (TEL) research has increasingly focused on emergent technologies such as Augmented Reality (AR) for augmented learning, mobile learning, and game-based learning in order to improve self-motivation and self-engagement of the learners in enriched multimodal learning environments. These researches take advantage of technological innovations in hardware and software across different platforms and devices including tablets, phoneblets and even game consoles and their increasing popularity for pervasive learning with the significant development of personalization processes which place the student at the center of the learning process. In particular, augmented reality (AR) research has matured to a level to facilitate augmented learning, which is defined as an on-demand learning technique where the learning environment adapts to the needs and inputs from learners. In this paper we firstly study the role of Technology Acceptance Model (TAM) which is one of the most influential theories applied in TEL on how learners come to accept and use a new technology. Then we present the design methodology of the technoself approach for pervasive learning and introduce technoself enhanced learning as a novel pedagogical model to improve student engagement by shaping personal learning focus and setting. Furthermore we describe the design and development of an AR-based interactive digital interpretation system for augmented learning and discuss key features. By incorporating mobiles, game simulation, voice recognition, and multimodal interaction through Augmented Reality, the learning contents can be geared toward learner's needs and learners can stimulate discovery and gain greater understanding. The system demonstrates that Augmented Reality can provide rich contextual learning environment and contents tailored for individuals. Augment learning via AR can bridge this gap between the theoretical learning and practical learning, and focus on how the real and virtual can be combined together to fulfill different learning objectives, requirements, and even environments. Finally, we validate and evaluate the AR-based technoself enhanced learning approach to enhancing the student motivation and engagement in the learning process through experimental learning practices. It shows that Augmented Reality is well aligned with constructive learning strategies, as learners can control their own learning and manipulate objects that are not real in augmented environment to derive and acquire understanding and knowledge in a broad diversity of learning practices including constructive activities and analytical activities.
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Social media tools are increasingly popular in Computer Supported Collaborative Learning and the analysis of students' contributions on these tools is an emerging research direction. Previous studies have mainly focused on examining quantitative behavior indicators on social media tools. In contrast, the approach proposed in this paper relies on the actual content analysis of each student's contributions in a learning environment. More specifically, in this study, textual complexity analysis is applied to investigate how student's writing style on social media tools can be used to predict their academic performance and their learning style. Multiple textual complexity indices are used for analyzing the blog and microblog posts of 27 students engaged in a project-based learning activity. The preliminary results of this pilot study are encouraging, with several indexes predictive of student grades and/or learning styles.
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The author carries out a pedagogical reflection on how the technology driven distance learning repeatedly neglects the scientific achievements of Second Language Acquisition and Language Pedagogy. Seeing communicative competence as a major goal of a language classroom, she presents the main challenges that the communicative approach poses to distance learning. To this end, a general distance learning theory by Moore is adapted to the needs of language education, through a distinction between three aspects of learner interaction – with the teacher, with other learners and with content. In this three-dimensional paradigm the learner is seen as the main actor of the process, the teacher as a facilitator, the text as a main source of communicative data and the learner autonomy as the fundament of the process.
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Recent experiments have revealed the fundamental importance of neuromodulatory action on activity-dependent synaptic plasticity underlying behavioral learning and spatial memory formation. Neuromodulators affect synaptic plasticity through the modification of the dynamics of receptors on the synaptic membrane. However, chemical substances other than neuromodulators, such as receptors co-agonists, can influence the receptors' dynamics and thus participate in determining plasticity. Here we focus on D-serine, which has been observed to affect the activity thresholds of synaptic plasticity by co-activating NMDA receptors. We use a computational model for spatial value learning with plasticity between two place cell layers. The D-serine release is CB1R mediated and the model reproduces the impairment of spatial memory due to the astrocytic CB1R knockout for a mouse navigating in the Morris water maze. The addition of path-constraining obstacles shows how performance impairment depends on the environment's topology. The model can explain the experimental evidence and produce useful testable predictions to increase our understanding of the complex mechanisms underlying learning.
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Objective: We carry out a systematic assessment on a suite of kernel-based learning machines while coping with the task of epilepsy diagnosis through automatic electroencephalogram (EEG) signal classification. Methods and materials: The kernel machines investigated include the standard support vector machine (SVM), the least squares SVM, the Lagrangian SVM, the smooth SVM, the proximal SVM, and the relevance vector machine. An extensive series of experiments was conducted on publicly available data, whose clinical EEG recordings were obtained from five normal subjects and five epileptic patients. The performance levels delivered by the different kernel machines are contrasted in terms of the criteria of predictive accuracy, sensitivity to the kernel function/parameter value, and sensitivity to the type of features extracted from the signal. For this purpose, 26 values for the kernel parameter (radius) of two well-known kernel functions (namely. Gaussian and exponential radial basis functions) were considered as well as 21 types of features extracted from the EEG signal, including statistical values derived from the discrete wavelet transform, Lyapunov exponents, and combinations thereof. Results: We first quantitatively assess the impact of the choice of the wavelet basis on the quality of the features extracted. Four wavelet basis functions were considered in this study. Then, we provide the average accuracy (i.e., cross-validation error) values delivered by 252 kernel machine configurations; in particular, 40%/35% of the best-calibrated models of the standard and least squares SVMs reached 100% accuracy rate for the two kernel functions considered. Moreover, we show the sensitivity profiles exhibited by a large sample of the configurations whereby one can visually inspect their levels of sensitiveness to the type of feature and to the kernel function/parameter value. Conclusions: Overall, the results evidence that all kernel machines are competitive in terms of accuracy, with the standard and least squares SVMs prevailing more consistently. Moreover, the choice of the kernel function and parameter value as well as the choice of the feature extractor are critical decisions to be taken, albeit the choice of the wavelet family seems not to be so relevant. Also, the statistical values calculated over the Lyapunov exponents were good sources of signal representation, but not as informative as their wavelet counterparts. Finally, a typical sensitivity profile has emerged among all types of machines, involving some regions of stability separated by zones of sharp variation, with some kernel parameter values clearly associated with better accuracy rates (zones of optimality). (C) 2011 Elsevier B.V. All rights reserved.
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The Learning Object (OA) is any digital resource that can be reused to support learning with specific functions and objectives. The OA specifications are commonly offered in SCORM model without considering activities in groups. This deficiency was overcome by the solution presented in this paper. This work specified OA for e-learning activities in groups based on SCORM model. This solution allows the creation of dynamic objects which include content and software resources for the collaborative learning processes. That results in a generalization of the OA definition, and in a contribution with e-learning specifications.
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Conferences that deliver interactive sessions designed to enhance physician participation, such as role play, small discussion groups, workshops, hands-on training, problem- or case-based learning and individualised training sessions, are effective for physician education.
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Distance learners are self-directed learners traditionally taught via study books, collections of readings, and exercises to test understanding of learning packages. Despite advances in e-Learning environments and computer-based teaching interfaces, distance learners still lack opportunities to participate in exercises and debates available to classroom learners, particularly through non-text based learning techniques. Effective distance teaching requires flexible learning opportunities. Using arguments developed in interpretation literature, we argue that effective distance learning must also be Entertaining, Relevant, Organised, Thematic, Involving and Creative—E.R.O.T.I.C. (after Ham, 1992). We discuss an experiment undertaken with distance learners at The University of Queensland Gatton Campus, where we initiated an E.R.O.T.I.C. external teaching package aimed at engaging distance learners but using multimedia, including but not limited to text-based learning tools. Student responses to non-text media were positive.
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Esta pesquisa teve por objetivo avaliar o desempenho em inglês como L2 de alunos submetidos a atividades em uma abordagem híbrida com o uso de ferramentas da internet na Escola de Aprendizes-Marinheiros do Espírito Santo. Quarenta alunos de duas turmas intactas foram divididos em dois grupos, o experimental (ensino tradicional + ambiente virtual) e o controle (ensino tradicional apenas). O referencial teórico revisou a literatura sobre a abordagem de ensino de línguas estrangeiras baseada em tarefas, metodologias híbridas de ensino de L2, multiletramentos e novas tecnologias. A metodologia de pesquisa usada foi mista com dados qualitativos e quantitativos. O estudo avaliou o impacto de atividades on-line na aprendizagem de L2 e no desenvolvimento da autonomia e do letramento digital. Três tarefas usando variados sítios da internet foram administradas ao grupo experimental, seguidas de um questionário para cada uma, usado para a avaliação qualitativa. A análise quantitativa foi feita por meio de pré e pós-testes analisados estatisticamente. Para esta pesquisa-ação, foram utilizados questionários, entrevistas semiestruturadas e o diário da professora-pesquisadora como instrumentos de coleta de dados. De forma geral, os resultados não mostraram ganhos estatisticamente significativos no tratamento, porém a análise qualitativa das impressões dos alunos-participantes sobre as tarefas realizadas revelou que a abordagem híbrida de ensino de L2 pode ajudar os alunos a desenvolver a autonomia, motivação, um maior contato com a língua-alvo e o letramento digital.
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Este trabalho tem como objetivo geral apresentar mecanismos de análise e validação de propostas de material didático na forma de Webquests e, com base nesses mecanismos, elaborar e validar três propostas de material didático em forma de WebQuests criticamente situados para a ensinagem de inglês como língua adicional. As WebQuests elaboradas visam priorizar o desenvolvimento do letramento digital crítico e da competência comunicativa em inglês como língua adicional do aprendiz. A WebQuest se insere na perspectiva de uma metodologia que tem esse mesmo nome e consiste na proposta de uma pesquisa orientada e organizada em etapas em que toda ou grande parte do conteúdo a ser acessado e necessário para a realização da(s) tarefa(s) encontra-se disponível online (DODGE, 1995). A metodologia deste estudo é de cunho qualitativo e também se insere na perspectiva da metodologia de desenvolvimento. O design metodológico dessa investigação foi organizado em três etapas, quais sejam, a análise de necessidades, a elaboração de três WebQuests e a análise das WebQuests elaboradas a partir de uma rubrica. A revisão de literatura, que constituiu parte da análise de necessidades, sugere que as demandas do século XXI exigem maior atenção e investimento para o desenvolvimento de letramentos múltiplos e críticos, de competências comunicativas e interacionais e de formação de cidadania. A análise de WebQuests disponíveis para ensinagem de inglês no principal sítio brasileiro de WebQuests, que compôs a segunda parte da análise de necessidades desse estudo, evidenciou a escassez de WebQuests que abordam de forma significativa tanto as questões do letramento digital crítico quanto os aspectos da competência comunicativa na língua adicional do indivíduo. A análise de necessidades como um todo forneceu subsídios relevantes para o processo de elaboração das WebQuests propostas neste estudo, que também se embasou nas diretrizes e princípios do modelo WebQuest e em grande parte do seu embasamento teórico. Como fase final deste estudo, as três WebQuests elaboradas foram submetidas à validação a partir de uma rubrica criada especialmente para esse propósito. Os resultados das análises de validação das três WebQuests elaboradas sugerem que a proposta desses materiais é válida sob o ponto de vista teórico, pois mostram que as ferramentas criadas vão ao encontro da proposta do modelo WebQuests de Dodge (1995, 2001) e das recomendações de qualidade sugeridas por Bottentuit Junior e Coutinho (2008a, 2012), bem como estão ancoradas na teoria sócio-construtivista e do ensino situado e nos princípios metodológicos da abordagem de ensino baseada em tarefas e da abordagem de ensino de conteúdos diversos por meio da língua (CLIL). Concluímos que as três WebQuests são materiais de ensinagem de inglês que fogem do enfoque tradicional conteudista historicamente voltado para o ensino de vocabulário e gramática na língua-alvo, extrapolando os objetivos linguísticos para alcançar também objetivos sociais e culturais da ensinagem de inglês como língua adicional, na medida em que se trabalha paralelamente (e intencionalmente, por entender que ambos se complementam) o desenvolvimento da competência comunicativa e do letramento digital crítico do indivíduo, contribuindo, assim, para a sua formação cidadã e colaborando para a “inclusão” do aprendiz no mundo social e digital.
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Translator’s training and assessment has used more and more tools and innovative strategies over the years. The goals and results to achieve haven’t changed much, however: translation quality. In order to accomplish it, the translator and all the tasks and processes he develops appear as crucial, being pre-translation and post-translation processes equally important as the translation itself, namely as far as autonomy, reflexive and critical skills are concerned. Finally, the need and relevance of collaborative tasks and networks amongst virtual translation communities, led us to the decision of implementing ePortfolios as a tool to develop the requested skills and extend the use of Internet in translation. In this paper we describe a case-study of a pilot experiment on the using of e-portfolios as a translation training tool and discuss their role in the definition of a clear set of objectives and phases for the completion of each task, by helping students in the management of the projects deadlines, improving their knowledge on the construction and management of translation resources and deepening their awareness about the concepts related to the development of eportfolios.